🛠️ System Prompts Directory: A Treasure Trove for LLMs and Vibe Coding Platforms

Are you looking to accelerate your AI agent projects or experiment with cutting-edge language models? A comprehensive repository has just landed on GitHub, packed with ready-to-use system prompts for the most popular LLMs and “vibe coding” platforms. It’s a must-have resource for every AI creator!

What Is the System Prompts Directory?

The System Prompts Directory is an open collection of system-level instructions that steer the behavior and capabilities of AI agents. With over 20,000 lines of prompts, templates, and configurations all in one place, you can kick-start your project instantly—no need to build your prompts from scratch.

Why You Should Dive In

• Slash development time for new AI agents

• Learn best practices for crafting complex conversational scenarios

• Find inspiration to design your own custom system prompts

• Stay up to date via Discord discussions before updates land on GitHub

What’s Inside the Directory?

• Claude Code

• Replit

• Cursor

• Windsurf

• Lovable

• Devin

• VSCode Copilot Agent

• Notion AI

• Leap.new

• Orchids.app

• Plus dozens more open-source frameworks and tools

How to Get Started

1. Visit the GitHub repository.

2. Browse the list of available files and pick the tool you need.

3. Copy the ready-made prompt or template into your project.

4. Customize the system prompt to fit your unique requirements.

5. Test, iterate, and share your improvements with the developer community.

Dive In Now

https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?tab=readme-ov-file

https://github.com/x1xhlol/system-prompts-and-models-of-ai-tools?tab=readme-ov-file

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Table of Contents

• LAST WEEK IN AI: THE MOST IMPORTANT NEWS & UPDATES

• Gemini Takes the Chrome Throne: Your New In-Browser AI Powerhouse

• Notion 3.0 with AI Agents

• Grok 4 Fast is here!

• NEW AI AGENTS, TOOLS AND PLATFORMS

Grok 4 Fast is here!

Grok 4 Fast is xAI's latest advancement in cost-efficient reasoning models, building on large language models (LLMs)—neural networks trained on vast datasets to process and generate responses—with a focus on multimodal capabilities that handle text, images, and potentially voice inputs for more natural interactions.

Grok 4 is also offering lightning-fast performance at low costs, appealing to developers and enterprises seeking scalable solutions without breaking the bank.

With a massive 2 million token context window—tokens being the basic units LLMs break text into for processing—this model excels in long-form reasoning, real-time search integration, and function calling for practical applications like automation and data analysis.

• Multimodal Reasoning with 2M Context Window: Processes text and images simultaneously for comprehensive understanding, leveraging a 2 million token capacity to maintain coherence over extended conversations or documents—fundamentals include tokenization (splitting input into manageable pieces) and attention mechanisms (focusing on relevant parts), enabling tasks like analyzing lengthy reports or visual data without losing context.

• Lightning-Fast and Cost-Efficient Performance: Delivers similar capabilities to the full Grok 4 but with 40% fewer "thinking tokens" on average, optimized via end-to-end RL training to selectively use external tools or resources—core concepts here involve inference optimization (reducing computational steps) and quantization (compressing model weights for speed), making it ideal for real-time applications at a fraction of the cost.

• Advanced Features like Function Calling and Structured Outputs: Supports native tool integration for actions like API calls or data retrieval, alongside structured responses (e.g., JSON formats) for reliable parsing in apps—built on agentic AI principles where models plan and execute steps autonomously, plus voice capabilities with a British-accented assistant for hands-free use, enhancing accessibility and workflow efficiency.

NEW AI AGENTS, TOOLS AND PLATFORMS

Tongyi DeepResearch

A powerful top-tier agentic LLM developed by Alibaba, Tongyi DeepResearch is designed for advanced reasoning, complex task execution, and deep understanding across multiple domains. It enables users to build intelligent AI agents capable of handling intricate workflows with high accuracy and contextual awareness.

• Supports multi-step reasoning and long-context understanding for complex problem-solving

• Optimized for agent-based applications with strong planning and decision-making capabilities

• Integrated with Alibaba’s ecosystem for seamless deployment in enterprise environments

URL: https://huggingface.co/Alibaba-NLP/Tongyi-DeepResearch-30B-A3B

---

Creao AI

Creao AI is an intuitive AI app builder that transforms your ideas into full-stack AI-powered applications quickly and efficiently. Ideal for developers and non-developers alike, it streamlines the process of creating custom AI tools without needing extensive coding knowledge.

• Drag-and-drop interface for rapid prototyping and development

• Integrates with popular APIs and data sources for enhanced functionality

• Supports deployment across web, mobile, and desktop platforms

URL: https://creao.ai/

---

Neuroflash

Neuroflash is an all-in-one AI platform and copilot that helps businesses generate content aligned with their brand voice while engaging audiences effectively. It combines AI writing, marketing automation, and analytics in a single tool.

• Generates personalized content that matches your brand tone and style

• Offers real-time audience engagement insights and performance tracking

• Automates repetitive marketing tasks such as email campaigns and social media posts

URL: https://neuroflash.com/

---

GPT-CodeX-5

GPT-CodeX-5 is a specialized version of OpenAI’s GPT model fine-tuned for agentic coding tasks. It excels at generating, debugging, and optimizing code across various programming languages and frameworks.

• Designed specifically for autonomous coding agents and developer assistants

• Supports natural language-to-code translation with high precision

• Integrates seamlessly into IDEs and CI/CD pipelines for automated development workflows

URL: https://openai.com/index/introducing-upgrades-to-codex/

---

Deepsite V2

Deepsite V2 is a powerful open-source website builder powered by AI that allows users to create dynamic, responsive websites using simple prompts. It's ideal for entrepreneurs, marketers, and developers who want fast, customizable web solutions.

• Generates fully functional websites from text descriptions or sketches

• Includes built-in CMS and SEO optimization features

• Open-source architecture allows for customization and self-hosting

URL: https://deepsite.hf.co/projects/new

---

i10x

i10x is an all-in-one AI platform offering access to multiple cutting-edge AI models under one roof. It provides tools for image generation, video creation, and other generative AI capabilities—making it a versatile hub for creators and developers.

• Unified interface to access multiple AI models (text, image, audio, video)

• Real-time collaboration and project management features

• Supports both free and premium tiers with scalable usage options

URL: https://i10x.ai/?pr=ainsider

---

Mindstudio

Mindstudio is a comprehensive platform for building powerful AI agents and AI applications. It offers a no-code/low-code environment where users can design, train, and deploy intelligent agents tailored to specific business needs.

• Visual workflow builder for designing complex agent behaviors

• Pre-built templates for common use cases like customer support and data analysis

• Cloud-native deployment with monitoring and scaling tools

URL: https://get.mindstudio.ai/ainsider

---

Ocoya

Ocoya is a social media management tool powered by AI that automates content creation, scheduling, and performance analytics. It helps brands maintain consistent, engaging presence across platforms with minimal manual effort.

• AI-generated content tailored to platform-specific best practices

• Automated posting and real-time engagement tracking

• Analytics dashboard showing ROI, reach, and audience sentiment

URL: https://www.ocooya.com/?via=ainsider-ai

---

Infranodus

Infranodus provides data and memory infrastructure essential for powering LLM applications and AI agents. It enables persistent memory, context retention, and efficient data retrieval for long-running AI systems.

• Persistent memory storage for AI agents to remember past interactions

• Scalable vector database optimized for semantic search and retrieval

• API-first design for easy integration into existing AI workflows

URL: https://infranodus.com/

---

Genspark

Genspark is a highly capable general-purpose AI agent that operates within AI-powered browsers and applications. It autonomously performs tasks such as research, data extraction, and content synthesis.

• Autonomous task execution with goal-oriented behavior

• Web scraping and information aggregation from multiple sources

• Built-in reasoning engine for decision-making and error recovery

URL: https://www.genspark.ai/

---

Typeless

Typeless is a speech-to-text AI platform designed for integration into apps and devices. It delivers accurate transcription with low latency, supporting real-time voice input across various industries.

• High-accuracy speech recognition with noise filtering

• Customizable vocabulary and domain-specific models

• Lightweight SDKs for mobile, web, and embedded devices

URL: https://www.typeless.com/

---

Agentscope

Agentscope is a complete open-source framework for building advanced AI agents and their underlying infrastructure. It supports agent orchestration, memory management, and multi-agent collaboration.

• Modular architecture for flexible agent design and deployment

• Built-in tools for agent communication and coordination

• Extensive documentation and community support for developers

URL: https://agentscope.io/

---

Wearview

Wearview is a leading platform for virtual try-on technology powered by AI, primarily used in fashion and retail. It enables customers to visualize how clothing and accessories look on them before purchasing.

• 3D body modeling and realistic rendering using AI

• Integration with e-commerce platforms and product catalogs

• Mobile and web compatibility with AR support

URL: https://www.wearview.co/

---

Huggin

Huggin is an open-source system for building autonomous AI agents that can perform automated tasks, read the web, monitor events, and take actions on your behalf. It emphasizes transparency and modularity.

• Event-driven architecture for real-time response to external triggers

• Web scraping and parsing capabilities with ethical safeguards

• Plugin-based design allowing users to extend functionality easily

URL: https://github.com/hugin/huggin

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Table of Contents

• What is GPT-5-Codex?

• Key Features and Improvements

  • Dynamic Thinking Time

  • Enhanced Code Refactoring and Review

  • Seamless Integration and Accessibility

  • Multimodal and Front-End Prowess

• Performance Benchmarks

• Community and Industry Reactions

• Implications for Developers

• Getting Started with GPT-5-Codex: A Step-by-Step G …

  • Step 1: Verify Your Subscription

  • Step 2: Install Codex CLI (Terminal Usage)

  • Step 3: Set Up Codex IDE Extension (VS Code and Be …

  • Step 4: Explore Web and Mobile Access

  • Step 5: Enable GitHub Code Reviews

  • Step 6: Customize and Experiment

  • Looking Ahead

OpenAI has just released GPT-5-Codex, a specialized version of its already impressive GPT-5 model, optimized for agentic coding. Announced yesterday, September 15, 2025, via a post on X and detailed further on the OpenAI blog, this new tool promises to revolutionize how developers write, refactor, and review code. Whether you're a seasoned software engineer or an AI enthusiast, GPT-5-Codex is poised to become an indispensable part of your toolkit. Let’s dive into what makes this release so exciting, what it means for the future of coding, and how you can get started with it today.

What is GPT-5-Codex?

GPT-5-Codex is not just an incremental update; it’s a purpose-built evolution of the GPT-5 model, tailored specifically for agentic coding within the Codex ecosystem. Unlike its predecessor, which serves as a general-purpose AI, GPT-5-Codex is designed to handle the nuances of software engineering tasks with remarkable autonomy. Available across multiple platforms—Codex CLI, IDE Extension, web, mobile, and integrated with GitHub code reviews—this model is accessible to developers wherever they work.

According to OpenAI’s blog post, "Introducing upgrades to Codex," GPT-5-Codex was trained on real-world software engineering challenges, including building projects from scratch, adding features and tests, debugging, performing large-scale refactors, and conducting code reviews. This focus on practical, hands-on coding tasks sets it apart, making it a versatile partner for both quick fixes and complex, multi-hour projects.

Key Features and Improvements

Dynamic Thinking Time

One of the standout features of GPT-5-Codex is its ability to dynamically adjust its thinking time based on task complexity. For simple requests, it responds with lightning speed, using 93.7% fewer tokens than GPT-5 for the easiest 10% of tasks. Conversely, for complex challenges, it can think and iterate for over seven hours, as demonstrated during internal testing where it successfully completed large-scale refactoring tasks. This adaptability ensures efficiency without sacrificing depth, a balance that’s critical for professional coding environments.

Enhanced Code Refactoring and Review

The model shines in code refactoring and review capabilities. OpenAI reports a 51.3% accuracy rate on refactoring tasks, a significant leap from the 33.9% achieved by GPT-5. Additionally, its code review functionality has reduced false positives by 68%, with a misidentification rate dropping to just 4.4%. This means developers can trust GPT-5-Codex to catch critical bugs and provide meaningful feedback, acting as a reliable “safety net” that complements human oversight.

Seamless Integration and Accessibility

GPT-5-Codex is integrated into the Codex ecosystem, unifying the developer experience across terminals, IDEs, web platforms, and mobile devices. The revamped Codex CLI, now open-source, and the new IDE extension allow for real-time collaboration and context retention, whether you’re working locally or in the cloud. For GitHub users, the model’s code review capabilities are immediately available, streamlining pull request processes. Best of all, it’s included at no additional cost for ChatGPT Plus and Pro users, making it widely accessible.

Multimodal and Front-End Prowess

Beyond traditional coding, GPT-5-Codex excels in front-end development, creating aesthetically pleasing desktop apps and mobile websites. It can interpret screenshots, wireframes, and diagrams shared via the CLI, turning visual inputs into functional code. This multimodal capability enhances its utility, bridging the gap between design and implementation.

Performance Benchmarks

OpenAI’s blog highlights GPT-5-Codex’s performance on the SWE-bench Verified dataset, achieving a 74.9% accuracy rate across all 500 tasks—a slight improvement over GPT-5’s 74.4% on a subset of 477 tasks. While its edge is more pronounced in refactoring (51.3% vs. 33.9%), it maintains parity with GPT-5 on general coding benchmarks, proving its specialization doesn’t compromise breadth.

Community and Industry Reactions

The X post announcing GPT-5-Codex (@OpenAI, 17:09 UTC, September 15, 2025) has sparked a flurry of excitement and discussion. Developers like @danshipper praised its dynamic thinking time and local-to-web handoff, noting it’s “quickly closing the gap with Claude Code.” Meanwhile, @flavioAd shared benchmark comparisons, and @every highlighted its potential for marathon coding sessions, with one test run lasting 35 minutes. Humorous takes, such as @boneGPT’s quip about a 50% chance of rewriting everything in Rust, underscore the community’s engagement.

However, not all feedback is universally positive. @flavioAd also voiced concerns about losing the “human touch” of GPT-4o, suggesting OpenAI balance technological advances with emotional resonance—a reminder of the human element in AI development.

Implications for Developers

This release marks a significant step toward autonomous coding agents. As @masahirochaen noted in a related X trend, OpenAI’s internal use of Codex for most code reviews signals a future where AI handles routine tasks, freeing humans to focus on creative and strategic work. The model’s ability to adapt to task complexity and integrate with existing tools positions it as a leader in the agentic coding space, challenging competitors like xAI and Anthropic’s Claude.

For developers, now is the perfect time to experiment with GPT-5-Codex. @kenn reported using it to automate pull requests over the weekend, complete with unit tests, while @kamui_qai recommends opting for the “high” version for optimal results. The open-source Codex CLI (installable via npm i -g @openai/codex) invites community contributions, ensuring continuous improvement.

Getting Started with GPT-5-Codex: A Step-by-Step Guide

Ready to harness the power of GPT-5-Codex? Follow these steps to set it up and start using it across different platforms. Note that you’ll need a ChatGPT Plus or Pro account for full access.

Step 1: Verify Your Subscription

• Ensure you have an active ChatGPT Plus or Pro subscription, as GPT-5-Codex is included with these plans.

• Visit chatgpt.com and sign in to confirm your subscription status.

Step 2: Install Codex CLI (Terminal Usage)

The Codex CLI is perfect for developers who prefer working in the terminal.

1. Install Node.js: Ensure Node.js (version 16 or later) is installed. Download it from nodejs.org if needed.

2. Install Codex CLI: Open your terminal and run:

   text

   npm i -g @openai/codex

   Alternatively, download the binary from the latest GitHub Release and rename it to codex after extraction (e.g., codex-x86_64-unknown-linux-musl to codex).

3. Sign In: Run codex in your terminal and select “Sign in with ChatGPT” to link your account.

4. Test It: Try a simple command, e.g., codex -m gpt-5-codex "Write a Python function to calculate factorial", and review the output.

Step 3: Set Up Codex IDE Extension (VS Code and Beyond)

For a seamless IDE experience, use the Codex VS Code extension.

1. Install the Extension:

   • Open VS Code (or forks like Cursor/Windsurf).

   • Go to the Extensions marketplace (Ctrl+Shift+X or Cmd+Shift+X on Mac).

   • Search for “Codex” and install the official OpenAI Codex extension.

   • Alternatively, download it manually from developers.openai.com.

2. Configure the Extension:

   • Sign in with your ChatGPT account when prompted.

   • Pin the Codex sidebar for easy access (especially in Cursor, where it may be collapsed by default).

3. Use It:

   • Open a project and select code to chat with Codex.

   • Try a prompt like “Refactor this function” or “Add a test for @example.ts”.

   • Adjust reasoning effort (low for speed, high for complex tasks) via the switcher.

Step 4: Explore Web and Mobile Access

• Web: Visit chatgpt.com/codex, sign in, and start coding directly in your browser.

• Mobile: Download the ChatGPT app (iOS/Android), navigate to the Codex section, and use it on the go.

Step 5: Enable GitHub Code Reviews

1. Set Up Codex Cloud: Ensure you’re signed into Codex via CLI or IDE.

2. Enable Code Review:

   • Go to your GitHub repository settings.

   • Enable “Code review” under Codex settings.

3. Trigger a Review: In a pull request, comment with @codex review. Codex will respond with 👀 and leave a detailed review.

Step 6: Customize and Experiment

• Edit ~/.codex/config.toml to tweak settings (e.g., enable MCP servers).

• Experiment with multimodal inputs (e.g., upload a wireframe via CLI with codex -m gpt-5-codex --image wireframe.png "Convert to HTML/CSS").

• Share your results on X with #GPT5Codex for community feedback.

Looking Ahead

OpenAI’s vision extends beyond the current release. The blog hints at future developments, including cloud-based agent swarms supervised by humans and enhanced security and alignment research. GPT-5-Codex’s goal isn’t to generate more code but to elevate its quality, simplifying systems and automating tasks like COBOL migrations and security patches.

As we move into this AI-driven era, foundational skills in software engineering remain crucial. Pairing human expertise with GPT-5-Codex’s capabilities could unlock unprecedented productivity gains. We encourage you to try it out, share your experiences, and join the conversation on X using #GPT5Codex.

/

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Table of Contents

• Anthropic Closes $13B Series F at $183B Valuation

• Huge updates of NotebookLM

• Claude Gains File Creation and Editing Capabilitie …

• Krea AI Unveils Real-Time Video Generation

• OpenAI's Projects & Branching Go Free

• Microsoft to Integrate Anthropic AI into Office 36 …

• Salesforce Agentforce Hits 18K Deals and $1B+ ARR …

• xAI Unveils Agentic Coding Model

• NEW AI AGENTS AND TOOLS ADDED TO AINSIDER DIRECTOR …

  • i10X

  • MindStudio

  • Ocoya

  • Infranodus

  • Genspark

  • Typeless

  • Agentscope

  • Wearview

  • Huginn

  • Tavily

  • Zite

  • Vibeflow

  • Emergent

  • ActivePieces

  • SimStudio

  • Claudable

  • Rork

  • Orchids

Last week was packed with breakthroughs in AI agents, model advancements, and enterprise integrations that could supercharge your work on automations and tools. I focused on the most impactful developments from September 7-13, drawing from high-engagement discussions on X.

Here's the top 8 news items, prioritized for agents and practical AI applications:

Anthropic Closes $13B Series F at $183B Valuation

Huge updates of NotebookLM

Claude Gains File Creation and Editing Capabilities

Krea AI Unveils Real-Time Video Generation

OpenAI's Projects & Branching Go Free

Microsoft to Integrate Anthropic AI into Office 365

Salesforce Agentforce Hits 18K Deals and $1B+ ARR Acceleration

xAI Unveils Agentic Coding Model

xAI launched a new agentic coding model capable of autonomous code generation, debugging, and deployment. Integrated with Grok, it supports background thinking for complex tasks, making it a boon for developers and agent builders experimenting with vibe-coding platforms. URL to tweet: https://x.com/mreflow/status/1966600202242191507

NEW AI AGENTS AND TOOLS ADDED TO AINSIDER DIRECTORY

Each entry includes the title, description, handpicked main features, and raw URL:

i10X

All-in-one AI Agents and Tools Platform
A productivity suite unifying top LLMs (GPT-4o, Claude, Gemini, Grok) and 500+ industry-specific AI agents in a single subscription workspace.
Main Features:

• Access 500+ expert-built agents across domains.

• Unified login for multiple AI models.

• Low-/no-code agent builder and automated workflows

URL:

MindStudio

No-Code AI Agent and App Builder
A visual platform for creating, deploying, and managing AI agent-powered workflows using drag-and-drop logic.
Main Features:

• 100+ prebuilt templates for rapid agent creation.

• Supports 200+ LLMs, with native integrations for OpenAI, Google, and Anthropic.

• Connects to databases, Notion, APIs, Google Docs.

URL: https://ainsider.tools/mindstudio/

Ocoya

AI Social Media Marketing Suite
Automate content creation, scheduling, and analytics on all major social channels using AI copywriting and design tools.
Main Features:

• Generates posts, hashtags, and graphics.

• Auto-schedules and analyzes performance.

• Supports Canva, GIPHY, Facebook, Instagram, TikTok, more.

URL: https://ainsider.tools/ocoya/

Infranodus

AI-Powered Text Network Analysis
Visualizes, summarizes, and extracts insights from texts by mapping concepts as a graph—great for research, SEO, and creative ideation.
Main Features:

• Knowledge graph visualizations and real-time AI summarization.

• Thematic and qualitative analysis with network metrics.

• SEO and market research, creative writing assistance.

URL: https://ainsider.tools/infranodus/

Genspark

Autonomous Super Agent Platform
A browser-based “Super Agent” that thinks, plans, and acts to execute complex, multistep digital tasks with little user oversight.
Main Features:

• Mixture-of-Agents architecture uses nine LLMs and 80+ built-in tools.

• Handles everything from research to calls/bookings.

• Drag-and-drop interface, no coding needed.

URL: https://ainsider.tools/genspark/

Typeless

Intelligent Speech-to-Text Platform
Transforms speech to clean, structured text and self-edits for clarity across any language, app, or style.
Main Features:

• Removes filler, repeated, and extraneous words.

• Multilingual, context-aware, and privacy-first (zero data retention).

• Supports custom vocab and app-specific tone.

URL: https://ainsider.tools/typeless/

Agentscope

Open-Source Multi-Agent Framework
Build, scale, and manage LLM-based multi-agent systems with powerful orchestration and developer-friendly tools.
Main Features:

• Modular, open agent architecture with drag-and-drop design.

• Real-time monitoring, fault tolerance, prompt tuning.

• Flexible communication, scalable, robust integration with LLMs.

URL: https://ainsider.tools/agentscope/

Wearview

Virtual AI Try-on for Fashion
A platform to preview apparel with realistic, AI-generated models for diverse, inclusive online shopping experiences.
Main Features:

• Instant virtual try-on with customizable models.

• Diverse representation for brands and e-commerce.

• Integrates with e-shops for interactive UX.

URL: https://ainsider.tools/wearview/

Huginn

Open-Source Web Automation Agents
Create self-hosted, customizable automated agents to monitor, scrape, and react to web data/events (think: DIY IFTTT).
Main Features:

• Flexible event-based automation, data extraction, condition-checks.

• Modular agent/pipeline building.

• Free, private, and infinitely extensible.

URL: https://ainsider.tools/huggin/

Tavily

AI-Optimized Web Search API
Purpose-built for LLM and RAG agents, Tavily delivers real-time, accurate search results and web content extraction with high customization.
Main Features:

• Single API call for web search, scrape, filter, and rank.

• Real-time, factual retrieval for agent workflows.

• Domain/parameter controls, Python SDK/REST API.

URL:

Zite

Visual No-Code & AI App Builder
A new-gen “vibe coding” platform to visually build, automate, and deploy business apps or workflows—integrates top DBs and modern deployment.
Main Features:

• Drag-and-drop visual editor, built-in no-code database.

• AI-powered code generation and workflow design.

• Instant deployment, affordable pricing.

URL: https://ainsider.tools/zite-2/

Vibeflow

AI Visual Backend Builder
Design complex app logic by connecting nodes in a visual editor, then sync everything with GitHub for real backend code.
Main Features:

• Drag-and-drop node builder (TypeScript backend).

• Transparent AI code generation and editing.

• Deep frontend integration and deployment automation.

URL: https://ainsider.tools/vibeflow/

Emergent

No-Code Fullstack App Builder with Agent Intelligence
Build production-ready apps (SaaS, dashboards, bots) by describing ideas with natural language—AI agents generate, test, debug, and deploy.
Main Features:

• Conversational-to-code pipeline; end-to-end lifecycle automation.

• App templates for SaaS, multi-tenant, analytics, etc.

• Built-in deployment and versioning.

URL: https://ainsider.tools/emergent/

ActivePieces

Open-Source Workflow Automation (Zapier Alternative)
Drag-and-drop automation builder (visual flows) with hundreds of prebuilt integrations; open-source, privacy-focused, and extendable.
Main Features:

• 330+ built-in “pieces” for popular apps.

• Conditional logic, error handling, real-time monitoring.

• Self-host, custom code steps, scalable for teams.

URL: https://ainsider.tools/activepieces/

SimStudio

Figma-Like Open Source LLM Agent Builder
Rapidly design, test, and deploy LLM-based workflows visually; integrates local/cloud models and major tool ecosystems.
Main Features:

• Visual drag-and-drop agent canvas, modular workflow design.

• Trigger via chat, REST API, webhooks, or schedule.

• Team collaboration, versioning, multi-modal deployment.

URL: https://ainsider.tools/simstudio/

Claudable

Claude Code + Agent Builder (Open Source)
Combine Claude Code/CLI's agentic coding with web app creation—just describe the app, get deployable Next.js code, and launch live.
Main Features:

• Native MCP, natural language to production code.

• Instant preview, auto error detection, deploy to Vercel, Supabase support.

• Beautiful UI with Tailwind CSS, Shadcn UI.

URL: https://ainsider.tools/claudable/

Rork

AI-powered No-Code Mobile App Builder
Cross-platform app builder that generates functional iOS/Android (React Native) apps from plain English, offering fast prototyping and ready-made templates.
Main Features:

• Templates for social, business, and game apps.

• Fast app generation, instant previews, Figma/Expo support.

• Export React Native code, chat-based development.

URL: https://ainsider.tools/rork/

Orchids

AI-Powered No-Code Web/App Builder
Chat-driven platform to create high-quality, design-first websites and web apps—clone layouts, export code, and fine-tune visually.
Main Features:

• Text-prompt website/app generation, no code needed.

• URL cloning, code export, custom templates.

• Built-in analytics, design-centric output.

URL: https://ainsider.tools/orchids/

HEJ FROM THE NORTH Welcome to the premiere issue of Nordiske Rum, your curated journal for modern Scandinavian living. Each edition brings you design that speaks softly but leaves a mark — thoughtful, tactile, and deeply rooted in Nordic culture. This month, we journey through Copenhagen’s most refined homes and creative spaces — where natural light, simplicity, and quiet sophistication reign. LET’S STEP INSIDE →

Feature Story

ILLUMINATING SPACES

Behind every perfect corner lies intention.

We step into three of Copenhagen’s most captivating homes: spaces bathed in calm light, layered with earthy tones and crafted with a sharp eye for functional beauty.

SEE HOW LOCALS STYLE WITH PURPOSE →

Visionary Voices

A CONVERSATION WITH CLARA LINDHOLM

Meet the architect redefining Copenhagen’s cityscape through sustainable minimalism. Clara speaks on light, restraint, and designing for longevity in a fast world.

READ THE FULL INTERVIEW →

/

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Table of Contents

• What is MindStudio?

• Key Features of MindStudio

• No-Code and Low-Code Agent Builder

• 200+ AI Models Ready to Use

• Multiple Agent Deployment Types

• Advanced Content Generation

• Data Ingestion and Research

• Human in the Loop

• Testing, Debugging, and Quality Assurance

• Integrations and Extensibility

• Real-World Use Cases

• Why Businesses Choose MindStudio

• Testimonials from Industry Leaders

• Who is MindStudio For?

What is MindStudio?

MindStudio is an AI-native workflow automation platform that empowers anyone—from non-technical users to enterprise developers—to design, build, and launch AI agents quickly. Unlike traditional automation tools such as Zapier, n8n, or Make, MindStudio is tailored specifically for building agents that can reason, act, and adapt instead of merely executing simple triggers.

The visual builder requires no prior coding, yet the platform is flexible enough to incorporate custom code, integrations, and complex enterprise use cases. With over 150,000 AI agents already deployed across SMBs, enterprises, and government organizations, MindStudio is positioning itself as a standard for building practical AI systems.

Key Features of MindStudio

No-Code and Low-Code Agent Builder

• Drag-and-drop visual interface for creating agent workflows.

• Describe the agent you want using natural language, and the Agent Architect generates the scaffold for you.

• Extend functionality with custom JavaScript or Python functions when greater flexibility is needed.

200+ AI Models Ready to Use

• Instantly access over 200 large language and multimodal models, including GPT-5, Claude 4.1, FLUX, Stability AI, Google Veo3, and more.

• Compare models side-by-side for speed, accuracy, and cost.

• Add your own models with API keys for total flexibility.

Multiple Agent Deployment Types

MindStudio supports diverse deployment methods depending on your use case:

• Web apps – Build AI-powered tools with user-facing interfaces.

• Autonomous agents – Schedule background agents to run repetitive processes automatically.

• Browser extensions – Deploy agents to run directly on any website.

• Email agents – Trigger workflows simply by forwarding or CC’ing emails.

• Webhook/API agents – Integrate with platforms like n8n, Zapier, or Make.

• Agentic MCP servers – Allow other AI models to call your agents, enabling agent-to-agent collaboration.

Advanced Content Generation

MindStudio goes beyond text generation by supporting rich multimedia creation:

• AI-powered text, images, HTML, and PDF generation.

• Structured data generation in CSV, JSON, XML, YAML.

• Audio and podcast assets with multiple voices & music integration.

• Print-ready marketing collateral and interactive business tools.

Data Ingestion and Research

Agents can connect to and act on data from multiple sources:

• Scrape and analyze live webpages.

• Connect to databases (SQL, vector, document stores).

• Perform large-scale social listening on YouTube, LinkedIn, and X/Twitter.

• Use image recognition and OCR to extract insights.

• Integrate directly with Google Docs, Sheets, Notion, HubSpot, and other enterprise tools.

Human in the Loop

MindStudio balances automation with oversight:

• Add checkpoints where humans approve or refine AI outputs.

• Build interactive dashboards, forms, and conversational interfaces.

• Enable runtime file uploading for real-time document analysis.

Testing, Debugging, and Quality Assurance

• Built-in automatic diagnostics detect workflow issues.

• AI-generated test cases validate agent reliability.

• Model profiler compares response times and costs across multiple providers.

• Debugger with detailed flow visibility for fast troubleshooting.

Integrations and Extensibility

• Over 1,000 pre-built integrations with popular apps and business platforms.

• Integrates seamlessly with Slack, HubSpot, Google Workspace, CRM platforms, and virtually any software with an API.

• Enterprise-grade customization with self-hosting, SAML single sign-on, SCIM provisioning, role-based access control, and full audit logs.

Real-World Use Cases

Businesses and professionals use MindStudio for a broad range of scenarios:

• Marketing and Sales: Generate tailored sales collateral, ICP-specific one-pagers, SEO-ready content, and social media campaigns.

• Operations and HR: Automate repetitive admin work, onboarding processes, and compliance documentation.

• Data Management: Streamline reporting, monitor competitor websites, handle structured datasets, and automate analytics.

• Creative Industries: Produce entire campaigns (copy, visuals, PDFs) from a single brief.

• Research and Compliance: Continuously scan websites, APIs, and documents for policy changes or emerging trends.

Why Businesses Choose MindStudio

• Speed – Most agents can be built in 15 minutes to an hour.

• Ease of use – Described by users as “the iPhone moment for AI agents”—powerful but intuitive.

• Collaboration – Teams can co-create and manage agents across multiple workspaces with budget controls.

• Scalability – From personal productivity assistants to enterprise AI systems with strict compliance requirements.

• Security – SOC II and GDPR certified, with options for private cloud or on-premise deployment.

Testimonials from Industry Leaders

• “We anticipate time savings of up to 70% when using MindStudio to prototype new applications.” — Orchestrate Revenue

• “Compared to n8n and CrewAI, MindStudio finally gets it right. If n8n is Linux, MindStudio is macOS.” — SCS

• “Our AI workers save us 13 to 400 hours a week of what would have otherwise been manual work.” — Microsoft

• “Instead of generic collateral, our reps now walk into meetings with AI-tailored case studies. Engagement rates jumped immediately.” — Graham Automotive Group

Who is MindStudio For?

• Individuals – Build personal productivity assistants with no coding required.

• Teams and SMEs – Deploy lightweight but powerful agents to accelerate workflows.

• Agencies and Consultants – Offer AI implementation services to clients without long dev cycles.

• Enterprise and Government – Roll out AI systems with compliance, governance, and security frameworks intact.

MindStudio unites powerful AI models, intuitive design tools, and automation infrastructure into one platform. Whether you are an independent creator or an enterprise IT leader, it enables you to stop just using AI—and start building it.

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Introduction

Even the best LLMs have no idea how you want to sound. If you don’t define your style, the output will be “correct but generic”. Below is the end-to-end process we run with clients at Macai Studio—finish it solo in 1–2 hours and you’ll own a “magic block” (a permanent system prompt). Paste it once, and every future generation will read as if you wrote it yourself.

Step 1. Gather raw stylistic material

• Collect 10–30 short or 3–5 long pieces of your own writing: business e-mails, posts, docs, chat logs, comments.

• The more contexts (pitch, complaint, thank-you, tech explanation), the better.

• Strip everything except the body text: no sender blocks, timestamps, third-party quotes.

• Save as clean .txt or .md files in one folder—makes later copying painless.

Step 2. Use that prompt

Use that prompt, pasting after that prompt your raw messages or file with them.

EXTRACT MY STYLE
TASK: Based exclusively on the provided texts, perform a thorough stylistic analysis and generate a comprehensive guideline. This guideline will serve as a permanent system prompt for any Large Language Model (LLM) to replicate my writing style.

OUTPUT REQUIREMENTS:

Document Title: "GUIDELINE – My Writing Style"

Format: A list of direct, actionable commands using "Always..." and "Never..."

Length: Approximately 250-400 words.

Language: English, but preserve all Polish names, phrases, and grammar as they appear in the source texts.

Structure: Cover all sections using the exact Markdown headings below. Analyze the provided examples to derive the rules for each section.

1. TONE & SENDER POSITION
Analyze the relationship between the writer and the recipient (e.g., formal, informal, authoritative, friendly).

Describe the overall emotional tone (e.g., confident, empathetic, direct, casual).

Identify the sender's role or persona (e.g., expert, collaborator, peer).

2. OPENING & CLOSING FORMULAS
Extract specific phrases used to start and end messages (e.g., "Hi [name]," "Best regards," "Cheers").

Identify any characteristic sign-offs or salutations.

3. LINGUISTIC CORRECTNESS
Detail the observed grammar, spelling, and punctuation habits.

Note any deliberate deviations from standard rules (e.g., use of sentence fragments, lowercase 'i').

Specify any unique use of capitalization or punctuation (e.g., using hyphens, em-dashes, or bolding).

4. STRUCTURE & FORMATTING
Describe how paragraphs are structured (e.g., short paragraphs, single sentences).

Note the use of lists, bullet points, or other formatting to improve readability.

Identify the typical length and flow of the messages.

5. VOCABULARY & FAVOURITE PHRASES
List specific words, idioms, or colloquialisms that appear frequently.

Identify any preferred jargon or technical terms.

Note the use of emojis or slang.

6. CONTEXT VARIANTS
Based on the provided examples, generate rules for how the style shifts depending on the message's purpose (e.g., when making an offer, sending a payment, or providing a technical explanation).

Highlight any patterns in how the tone or formality changes for different contexts.

7. CONTACT FOOTER
If a contact footer is present in the input texts, describe its typical contents and formatting. If none is provided, state this.

SUMMARY:

At the very end, add the following one-sentence summary: "This prompt ensures every generated message sounds exactly like [your name], with flawless Polish and a consistent personal brand voice."

PROHIBITIONS:

Do not use generic words like "user," "client," or "person" instead of my actual name.

Do not introduce any spelling or grammar rules that are not directly supported by the provided texts.

Do not add any phrases or vocabulary that I have not used.

Do not include any commentary or explanations outside of the generated guideline itself.

INPUT: Only the texts I provide below the line.

--- END OF INSTRUCTIONS ---

Step 3. Plug-and-play paths for every major LLM & automation platform

Below are copy-paste-ready places to drop your final SYSTEM-PROMPT so that every AI answer sounds exactly like you from day one.

Injecting your voice into n8n (automation + AI Agent)

Below is a copy-paste recipe that lets every e-mail, Slack message or SMS generated by an n8n workflow sound 100 % like you.

Use it with n8n

1. One-time prep

a) Store the final SYSTEM-PROMPT in n8n Credentials
Settings → Credentials → Add → type “Generic” → name it my_style_prompt
Paste the whole prompt into the single field → save.

b) (Optional) Keep the prompt under 400 words to fit inside memory-limited cloud nodes.

2. Classic workflow (no Agent) – “Generate & send”

Trigger (any) → OpenAI / Anthropic / Ollama node

• Resource: “Message”

• Operation: “Create a text completion / chat message”

• Model: gpt-4-turbo / claude-3-haiku / llama3 …

• System Message: press “Expression” icon
  ={{$credentials.my_style_prompt}}

• User Message: Write a short payment-reminder e-mail to {{$json.clientName}}
  ↓
  Gmail / Outlook / Slack node → send the returned text.

That is it—every run uses your voice without extra clicks.

3. AI Agent workflow (n8n AI Agent node ≥ 1.28)

a) Create a new workflow → add AI Agent node
b) Agent Provider:
– OpenAI, Anthropic, Ollama, or local LM-studio (any chat model)
c) System Prompt field → Expression
={{$credentials.my_style_prompt}}
d) Tools (optional):
– Read PDF invoice
– Query CRM for due date
– Send Gmail
e) Chat / Webhook trigger → ask “Remind client X about payment”
Agent returns text in your style and can call “Send Gmail” tool automatically.

ChatGPT (web, iOS, Android)

a) Custom Instructions
Settings → Personalization → Custom Instructions
Top box: paste the whole SYSTEM-PROMPT.
Bottom box (optional): short context, e.g. “Freelance web-dev, Polish & English business e-mails.”
Save → works globally, no further action needed.

b) Custom GPT
Explore GPTs → “Create” → “Instructions” tab → paste SYSTEM-PROMPT.
Add logo, name, knowledge files (price list, FAQ) → publish link to team or clients.

c) OpenAI API
messages=[ {"role": "system", "content": "<your prompt>

Claude (Anthropic)

a) Project Instructions
New Project → “Project Instructions” → paste SYSTEM-PROMPT → toggle ON “Enable for all chats”.
Works on web & mobile instantly.

b) API / SDK
system="<your prompt>

Google Gemini / Vertex AI

a) Gemini Advanced web → Settings → “Custom response style” → paste prompt.
b) Vertex AI REST → "system_instruction": "<your prompt>

Microsoft Copilot ecosystem

No global custom prompt yet → work-arounds:

• Copilot Studio → create new topic → “System message” → paste prompt → publish.

• Power Automate → “Create text with GPT” action → put SYSTEM-PROMPT inside “Instructions” field.

LangChain / LlamaIndex / crewAI (Python)

with open("moj_styl.txt") as f: SYSTEM_PROMPT = f.read()

chain = ( SystemMessage(content=SYSTEM_PROMPT) + HumanMessagePromptTemplate.from_template("{query}") ) | chat_model

crewAI: agent = Agent(role="Copywriter", backstory=SYSTEM_PROMPT, goal="Write exactly like the user")

Notion AI / Slack AI / ClickUp Brain

Notion:
Type “/AI” → choose “Custom” → paste SYSTEM-PROMPT → save.
Now every AI generate inside Notion uses your voice.

Slack:
Slack AI settings → “Custom instructions” → paste prompt → save.
Use /ai write … → output matches your style.

ClickUp Brain:
Space settings → “AI prompts” → “Add” → name it → paste SYSTEM-PROMPT.
Inside any task: @Brain write … using prompt “My voice”.

No-code automations (Make.com, Zapier)

Trigger: “New row in Google Sheet (client data)”
Action: OpenAI / Claude module → “System Prompt” field = SYSTEM-PROMPT
Action: Gmail / Outlook → send generated text.
Result: fully branded e-mail created & sent in <30 s.

Local models (Ollama, LM Studio, GPT4All)

Ollama one-liner: ollama run llama3 /set system "<paste prompt>

Permanent image: echo "FROM llama3\nSYSTEM """<prompt>

Security & version control

• Store prompt in encrypted repo (private GitHub) or company Key-Vault.

• Use env-var SYSTEM_PROMPT_VERSION – rollback in seconds.

• Quarterly: review 5 latest human-written texts → update prompt → tag new version (v1.3).

With these paths you get one voice, unlimited channels – paste the SYSTEM-PROMPT once, and every “Generate” button returns text indistinguishable from your own.

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Table of Contents

• THE MOST IMPORTANT UPDATES & UPGRADES FROM LAST WEEK

• New Tools, Models and Agents added to Ainsider Dir …

  • Huginn

  • Tavily

  • Zite

  • Vibeflow

  • Emergent

  • ActivePieces

  • Simstudio

  • Claudable

  • Rork

  • App Orchid

  • Claude Code

  • Memori

  • Manus AI

  • Vibecodeapp

  • Summary

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New Tools, Models and Agents added to Ainsider Directory

Huginn

Description: Huginn is an open-source system that lets you build and run "agents" to perform automated tasks online. Think of it as a customizable personal assistant that can read the web, monitor for events, and take actions on your behalf.

• Create and consume events to build complex automation sequences.

• Connect to a wide array of services like Twitter, Slack, and RSS feeds.

• Extract and manipulate data from websites without needing to code.

• Track and digest high-frequency events, sending alerts when they spike.

Link: https://github.com/huginn/huginn

Tavily

Description: A specialized search engine built to provide AI agents and large language models (LLMs) with real-time, accurate, and factual information. Its Search API streamlines the process of finding and filtering information, making it ideal for Retrieval Augmented Generation (RAG) applications.

• Delivers real-time search results optimized for AI workflows.

• Provides a single API call for searching, scraping, and filtering data.

• Supports customizable search depth and domain management.

• Includes tools like an autonomous agent for web research (GPT Researcher).

Link: https://www.tavily.com/

Zite

Description: Zite is a powerful no-code platform that enables businesses to build custom internal applications for project monitoring and management. It helps organizations make data-driven decisions in real-time by providing tools for data collection, analysis, and reporting.

• Dynamic form builder with over 22 data types, including GPS, photos, and text.

• Provides fully functional offline capabilities for data collection in the field.

• Generates custom reports and interactive dashboards to track progress.

• Maps all work sites with a fully interactive mapping portal.

Link: https://www.zite.io/

Vibeflow

Description: An innovative visual backend builder that simplifies the creation of full-stack web applications. It transforms plain-language prompts into production-ready code by using an intuitive visual workflow canvas, making backend development accessible to a wide range of users.

• AI-powered conversational transformation of prompts into code and app logic.

• Features a visual, drag-and-drop workflow builder.

• Seamlessly integrates with your existing front-end via GitHub.

• Generates production-ready TypeScript code.

Link: https://vibeflow.ai/

Emergent

Description: A fully autonomous AI dev agent that builds entire applications—including front-end, back-end, and deployment—from a single natural language prompt. It automates the entire software development lifecycle, acting as a developer that never sleeps.

• Transforms conversational ideas into a complete, maintainable codebase.

• Manages the entire development lifecycle autonomously, including testing and debugging.

• Handles seamless built-in deployment, shortening the time-to-market.

• Features a real-time preview and memory system to refine the app.

Link: https://app.emergent.sh/

ActivePieces

Description: ActivePieces is an open-source, no-code automation platform that empowers teams to build and streamline workflows. With a visual flow builder, it connects over 200 applications and services, integrating AI capabilities to automate business processes without the need for technical skills.

• A no-code, drag-and-drop visual workflow builder.

• Offers extensive integrations with over 200 apps and services.

• Provides a self-hosting option for full data control and privacy.

• Leverages AI for content generation and intelligent data processing within workflows.

Link: https://github.com/activepieces/activepieces

Simstudio

Description: Sim Studio is an open-source AI agent workflow builder that provides a lightweight and user-friendly environment for developers and agents. It streamlines the creation and deployment of LLM-based applications through a visual drag-and-drop interface.

• Offers a visual drag-and-drop workflow builder.

• Supports various self-hosting options (NPM, Docker, etc.) for granular control.

• Enables integration with local models, giving users full control over the AI.

• Uses vector embeddings for advanced features like knowledge bases and semantic search.

Link: https://www.sim.ai/

Claudable

Description: An open-source tool that runs locally and allows you to build web-optimized, production-ready designs with an instant UI preview. It works with Claude Code and provides a seamless way to transform ideas into a live product.

• Generates web-optimized and production-ready designs.

• Provides an instant UI preview of the generated code.

• Features direct integration with Git for version control.

• Runs locally, providing a secure, no-backend-server environment.

Link: https://github.com/opactorai/Claudable

Rork

Description: Rork is an AI-powered no-code platform that rapidly converts simple text descriptions into fully functional mobile applications for both iOS and Android. It eliminates the traditional barriers to mobile development, enabling non-technical creators to launch apps quickly.

• Fast app generation from a single idea to a deployed product.

• Ensures cross-platform compatibility with native iOS and Android builds.

• Features a simple drag-and-drop interface for easy customization.

• Offers a wide selection of app templates for various use cases.

Link: https://rork.com/

App Orchid

Description: App Orchid is an enterprise AI platform that helps organizations build, run, and scale AI initiatives with a focus on data privacy and compliance. It uses patented knowledge graph technology to connect and contextualize siloed data for both humans and AI models.

• Creates a unified semantic foundation for BI and LLMs.

• Leverages machine learning to extract deep insights from data.

• Automatically generates intuitive, AI-powered visualizations and dashboards.

• Features a "Text-to-SQL" engine for natural language queries.

Link: https://www.apporchid.com/

Claude Code

Description: A command-line AI tool that brings the power of Claude Opus 4.1 directly into your terminal. It's designed for deep, agentic coding, allowing it to understand your entire codebase and make coordinated, multi-file edits.

• Uses agentic search to understand your entire codebase without manual context.

• Works directly within your terminal and integrates with popular IDEs.

• Never modifies files without your explicit approval, putting you in control.

• Leverages existing test suites and build systems.

Link: https://www.anthropic.com/claude-code

Memori

Description: An open-source memory layer for AI agents and multi-agent systems, designed to give your AI applications a structured, persistent, and "conscious" memory. This allows AI to remember context, adapt to user preferences, and provide more human-like interactions.

• Offers a dual-mode memory architecture (conscious and auto-mode).

• Features a multi-agent system with specialized agents for retrieval and processing.

• Supports universal integration with any LLM library (LiteLLM, OpenAI, Anthropic).

• Provides different memory types: short-term, long-term, rules, and entity memory.

Link: https://memori.gibsonai.com/

Manus AI

Description: A general-purpose AI agent that connects human intent with action. Unlike traditional chatbots, it autonomously plans, executes, and delivers end-to-end tasks, such as creating research papers, planning travel itineraries, or building websites.

• Operates with full autonomy, requiring only an initial prompt.

• Features a multi-agent architecture that delegates tasks to specialized sub-agents.

• Performs multi-modal processing, handling text, images, and code.

• Learns from user interactions to adapt and customize its outputs over time.

Link: https://manus.im/

Vibecodeapp

Description: A tool that simplifies software development by allowing users to generate, refine, and debug code using natural language. It enables a "vibe-coding" approach where users describe the desired software behavior, and the AI handles the technical implementation.

• Converts plain language instructions into functional code.

• Uses an iterative refinement loop for real-time code correction.

• Allows users to create custom, AI-driven workflows for specific tasks.

• Provides debugging assistance and app deployment integration.

Link: https://www.vibecodeapp.com/

Summary

The tools added this month highlight a major trend toward autonomous AI agents and no-code/low-code development. From platforms that build entire applications from a single prompt (Emergent, Rork) to back-end automation tools (Vibeflow, Simstudio), the focus is on simplifying the creation and deployment of intelligent systems. These new entries empower both developers and non-technical users to bring their ideas to life faster and more efficiently than ever before.

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Table of Contents

• What is LangChain?

  • LangChain 1.0: A Paradigm Shift Towards Stability …

  • LangGraph: Orchestrating Complex Agentic Workflows

  • Langsmith: Enhanced Observability and Evaluation

  • LangChain Studio: A Visual IDE for Agent Developme …

• Resources:

LangChain is an open-source development framework designed to help engineers quickly build complex applications powered by Large Language Models (LLMs) and other AI agents. It provides standardized model abstractions and prebuilt agent patterns, making it easier to integrate language models with external data sources, APIs, and workflows for robust, production-grade solutions.

What is LangChain?

LangChain operates as a toolkit for orchestrating AI agents, automating tasks, and managing dynamic conversations or decision-making processes involving LLMs. Key functions include:

• Agent orchestration: Developers can create and manage chains of operations, where LLMs interact with tools, memory, and external systems for business logic or automation.

• Standardized patterns: Unified agent patterns and interfaces enable rapid development, vendor flexibility, and easy maintenance for AI-driven features.

• Production focus: LangChain offers scalable integrations for prompt engineering, retrieval augmentation, callback handling, and model evaluation, all tailored for professional, real-world use cases.

The LangChain ecosystem is rapidly evolving, and recent announcements have marked a significant milestone in its journey towards providing a stable, modular, and developer-friendly framework for building powerful applications with Large Language Models (LLMs). In this section we'll focus on the latest releases and upgrades, focusing on LangChain 1.0, the role of LangGraph, the continuous improvements in Langsmith for observability, and the introduction of the highly anticipated LangChain Studio.

The LangChain ecosystem is rapidly evolving, and recent announcements have marked a significant milestone in its journey towards providing a stable, modular, and developer-friendly framework for building powerful applications with Large Language Models (LLMs). In this section we'll focus on the latest releases and upgrades, focusing on LangChain 1.0, the role of LangGraph, the continuous improvements in Langsmith for observability, and the introduction of the highly anticipated LangChain Studio.

The LangChain ecosystem is rapidly evolving, and recent announcements have marked a significant milestone in its journey towards providing a stable, modular, and developer-friendly framework for building powerful applications with Large Language Models (LLMs). In this section we'll focus on the latest releases and upgrades, focusing on LangChain 1.0, the role of LangGraph, the continuous improvements in Langsmith for observability, and the introduction of the highly anticipated LangChain Studio.

LangChain 1.0: A Paradigm Shift Towards Stability and Modularity

LangChain has officially entered a new phase with the alpha release of LangChain 1.0, signaling a strong commitment to stability and a more organized architecture. This major update addresses key feedback from the developer community, aiming to provide a more reliable and predictable experience when building and deploying LLM-powered applications.

The most significant change in LangChain 1.0 is the architectural shift towards modularity. The core abstractions and interfaces have been separated into a new package called langchain-core. This separation ensures that the fundamental building blocks of LangChain are stable and can be updated independently without introducing breaking changes to the main langchain package. This move allows developers to upgrade with confidence, knowing that the core functionalities will remain consistent.

Furthermore, partner integrations are being moved out of the main langchain package and into langchain-community or standalone partner packages. This modular approach not only reduces the bloat of the main library but also allows for more focused and independent development of integrations, ensuring better maintenance and stability.

High-level agents and chains within LangChain have also undergone a major revamp. The new architecture is centered around a new agent abstraction built on top of LangGraph, a powerful framework for creating stateful, multi-actor applications. This change is designed to provide developers with more control and flexibility when building complex agentic systems.

LangGraph: Orchestrating Complex Agentic Workflows

LangGraph is a low-level agent orchestration framework that provides the tools to build sophisticated and durable agentic systems. Unlike the more declarative nature of LangChain's high-level agent patterns, LangGraph offers a more explicit and controllable way to define the flow of logic in an agent.

With LangGraph, developers can define agent workflows as graphs, where nodes represent computations (e.g., calling an LLM, executing a tool) and edges represent the transitions between these computations. This graph-based approach allows for the creation of complex, stateful agents that can handle long-running tasks, interact with multiple tools, and even collaborate with other agents.

A key feature of LangGraph is its built-in support for persistence, which enables agents to maintain their state over time. This is crucial for building conversational agents that can remember past interactions and for creating multi-step workflows that can be paused and resumed.

Langsmith: Enhanced Observability and Evaluation

Langsmith continues to be an indispensable tool for debugging, testing, and monitoring LLM applications. Recent updates have introduced a host of new features designed to streamline the development and evaluation process.

One of the key improvements is the introduction of dataset splits for evaluation. This allows developers to partition their datasets into training, testing, and validation sets, enabling a more rigorous and systematic evaluation of their applications. Additionally, new off-the-shelf online evaluator prompts have been added to help detect common issues like hallucinations and poor retrieval in Retrieval-Augmented Generation (RAG) systems.

To improve collaboration and organization, Langsmith now supports workspaces, allowing teams to manage their projects and resources more effectively. Other notable features include the ability to run multiple repetitions of experiments, custom model support in the Playground, and enhanced filtering and editing capabilities for datasets.

LangChain Studio: A Visual IDE for Agent Development

Perhaps the most exciting new addition to the LangChain ecosystem is the LangChain Studio, a visual Integrated Development Environment (IDE) for building, debugging, and deploying agents. LangChain Studio provides a user-friendly interface for designing and visualizing agentic workflows built with LangGraph.

Key features of LangChain Studio include:

• Graph Visualization: Developers can visualize the architecture of their agents, making it easier to understand and debug complex workflows.

• Interactive Agent Execution: The studio allows for real-time interaction with agents, enabling developers to test and iterate on their creations in a controlled environment.

• Prompt Engineering: A dedicated interface for iterating on and managing prompts, a crucial aspect of building effective LLM applications.

• Experiment Tracking: Seamless integration with Langsmith allows for running experiments, tracking results, and comparing the performance of different agent configurations.

• Time-Travel Debugging: A powerful feature that allows developers to step through the execution of an agent, inspect its state at each step, and even rewind and explore alternative paths.

LangChain Studio is designed to accelerate the development of agentic systems by providing a more intuitive and interactive development experience. It is available for both local development and as a cloud-based service, offering flexibility for individual developers and large teams.

Resources:

Here're official Langchain docs: https://python.langchain.com/docs/introduction/
And here's official Github Repo: https://github.com/langchain-ai/langchain

Here's ultimate Langchain course - Langchain Academy: https://academy.langchain.com/courses/deep-research-with-langgraph

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Table of Contents

• The Nano Banana Prompting Manual: An Expert's Guid …

  • Chapter 1: The New Frontier of Creative AI — An In …

    • 1.1. Deconstructing the Codename: "Nano Banana" Ex …

    • 1.2. The Core Value Proposition: A Paradigm Shift …

  • Chapter 2: The Foundational Principles — Understan …

    • 2.1. Unpacking the Leaked System Prompt

    • 2.2. The Golden Rule of Prompting: Narrative over …

    • To get the best results, always include the core e …

  • Chapter 3: The Prompting Toolkit — Strategies for …

    • 3.1. Crafting Photorealistic Scenes: The Photograp …

    • 3.2. Generating Stylized Illustrations and Assets

    • 3.3. Rendering Accurate Text: Beyond the Blurry Wo …

    • 3.4. Advanced Techniques for Product Mockups and C …

    • 5. Minimalist & negative space design

    • 6. Sequential art (comic panel / storyboard)

  • Chapter 4: Beyond the Prompt — Advanced Conversati …

    • 4.1. Conversational Editing and Iterative Refineme …

    • 4.2. Image editing: Adding & removing elements

    • 4.3. Inpainting: editing a specific area

    • 4.4. Style transfer

    • 4.5. Maintaining Character and Style Consistency

  • Chapter 5: The Competitive Edge — A Comparative An …

    • 5.1. Gemini 2.5 Flash Image vs. Midjourney

    • 5.2. Gemini 2.5 Flash Image vs. GPT-Image-1

  • Chapter 6: Practical Application and Ecosystem Int …

    • 6.1. Integrating with Vertex AI and the Gemini API

    • 6.2. Using Gemini for Creativity and Productivity

    • 6.3. A Note on Limitations and Responsible Use

    • Chapter 7: Conclusion: The Future of Creative Cont …

    • 7.1. Key Takeaways and Final Recommendations

    • 7.2. The Road Ahead

The Nano Banana Prompting Manual: An Expert's Guide to Mastering Gemini 2.5 Flash Image

Welcome to the "Nano Banana" era of image generation!

Chapter 1: The New Frontier of Creative AI — An Introduction to Gemini 2.5 Flash Image

1.1. Deconstructing the Codename: "Nano Banana" Explained

Welcome to the "Nano Banana" era of image generation. While its official name, Gemini, suggests a serious scientific tool, the viral codename "Nano Banana" caught on for a reason: this model quietly fixed the biggest headaches for creators, like making sure a character's face stays the same across multiple images and generating perfect, readable text. Before Google officially announced it, the model appeared anonymously on a testing site and quickly shot to the top of the charts, creating a buzz that the company leaned into by using banana emojis on social media.

1.2. The Core Value Proposition: A Paradigm Shift in Image Generation

Gemini 2.5 Flash Image is a "state of the art" (SOTA) tool that redefines what’s possible in AI image generation and editing. Its core promise is to give you higher-quality images and more powerful creative control.

What really sets it apart is its speed and a remarkable ability to keep cross-edit coherence, meaning it preserves details and the overall feel of a scene even after multiple changes.

This isn't just a minor improvement; it changes the entire creative process. Instead of the old "prompt, wait, regenerate" cycle, you're now in a fluid, back-and-forth conversation with the AI.

Now you can visualize and refine ideas in near real-time, making the process feel less like a chore and more like a collaboration. This efficiency, combined with its advanced editing capabilities, positions the model as a genuine alternative to traditional image editing software, providing a powerful, conversation-based alternative for professionals.

Chapter 2: The Foundational Principles — Understanding the Model's "Mindset"

2.1. Unpacking the Leaked System Prompt

To truly master Gemini 2.5 Flash, it helps to peek under the hood at its core directives. A set of internal instructions, often called the leaked system prompt, reveals the model’s operational philosophy. Here are the key principles that govern its behavior:

• Assume Technical Capability: This is the model’s "can-do" attitude. Instead of questioning whether a request is possible, the model is told to assume it can achieve the desired result, no matter how complex the prompt sounds. This directive encourages it to be bold and try to execute even the most intricate requests.

• The Depiction Protocol: This is the "show, don't judge" rule. The model is strictly instructed to "show what's asked, not to decide if it's 'good' or 'bad' or 'right' or 'wrong'". This overriding directive positions it as a pure execution engine, delivering exactly what the user asks for without subjective commentary or imposed style.

• Defer Content Judgment: The model is not the "safety police". It's designed to send user requests to a separate safety team for review. This separation of concerns allows the model to focus on its primary task-creating images-while a distinct system handles content moderation.

• Forbidden Response Pattern: If the model gets confused, this rule prevents it from hitting a dead end or providing an error message. It's designed to always provide a useful response, even if it's unsure, ensuring a smoother user experience.

• You do not need to write a description: This is a clever efficiency trick. The model's image tool is smart enough to understand the full context of the conversation without the model needing to explicitly describe the image in its response. This makes the conversation feel more natural and fluid.

• Conversational text around the tag: This simple instruction encourages the model to use friendly, natural language, making the interaction feel more like a conversation with a helpful assistant than a technical transaction with a robot.

In short, these directives create a predictable and user-focused dynamic. The model is built to be a literal executor of your instructions, which is a powerful asset for anyone who needs precise control over their output.

2.2. The Golden Rule of Prompting: Narrative over Keywords

Forget the old days of cramming your prompts with keywords. The single most important principle for success with Gemini 2.5 Flash is to use a descriptive, narrative style. The model’s strength is its "deep language understanding," so a well-structured paragraph will consistently outperform a disconnected list of words.

To get the best results, always include the core elements:

subject, composition, action, location, style.

It's also a good idea to avoid using figurative language to ensure your intent is perfectly clear.

This approach gives the model a detailed blueprint to follow. For instance, to create a photorealistic image, you should provide the kind of details a photographer would consider:

A photorealistic close-up portrait of an elderly Japanese ceramicist with deep, sun-etched wrinkles and a warm, knowing smile. He is carefully inspecting a freshly glazed tea bowl. The setting is his rustic, sun-drenched workshop. The scene is illuminated by soft, golden hour light streaming through a window, highlighting the fine texture of the clay. Captured with an 85mm portrait lens, resulting in a soft, blurred background (bokeh). The overall mood is serene and masterful. Vertical portrait orientation.

This comprehensive prompt gives the model all the information it needs to produce a high-fidelity image that matches your vision.

Chapter 3: The Prompting Toolkit — Strategies for High-Quality Output

3.1. Crafting Photorealistic Scenes: The Photographer's Eye

Prompt: A photorealistic close-up portrait of an young Polish woman, walking through the small village, in style of 1950' photography

To get a realistic result, you need to think like a photographer. The model is highly responsive to photography-related terms. Your prompt should include details about:

• Shot type: close-up, wide shot

• Subject and Action: an elderly Japanese ceramicist, carefully inspecting a freshly glazed tea bowl

• Environment and Lighting: rustic, sun-drenched workshop, soft, golden hour light

• Camera/Lens Details: 85mm portrait lens, blurred background (bokeh)

• Aspect Ratio: vertical portrait orientation

By including this level of technical detail, you can guide the model to create professional-grade outputs. This shows that the model's training data includes a wealth of professionally tagged images, allowing it to accurately replicate the look and feel of high-end photography.

Prompt: Prompt: A photorealistic close-up portrait of an young Polish woman, walking through the small village, in style of 1950' photography

3.2. Generating Stylized Illustrations and Assets

When your goal is a non-photorealistic image, like an illustration or a sticker, the strategy shifts to focusing on artistic style and design elements. Be explicit about the aesthetic you want. Key elements to include are:

• Style: kawaii-style, 3D animation, watercolor painting

• Key Characteristics: happy red panda wearing a tiny bamboo hat

• Color Palette: vibrant color palette

• Line and Shading Style: bold, clean outlines, simple cel-shading

• Background: transparent or white

A common template for this is: A [style] sticker of a [subject], featuring [key characteristics] and a [color palette]. The design should have [line style] and [shading style]. The background must be [background type]. This is a fantastic approach for social media creators and designers who need a consistent look across a series of graphics.

Prompt: A ghibli-style sticker of a happy bear wearing a tiny bamboo hat. It's munching on a green bamboo leaf. The design features bold, clean outlines, simple cel-shading, and a vibrant color palette. The background must be white.

3.3. Rendering Accurate Text: Beyond the Blurry Words

One of the most impressive feats of Gemini 2.5 Flash Image is its ability to render accurate text within images—a notorious weak spot for many other AI models. To use this feature, your prompt must clearly state the exact text, describe the font style, and define the overall design. For a logo, for example, your prompt could be:

Create a modern, minimalist logo for a coffee shop called 'The Daily Grind'. The text should be in a clean, bold, sans-serif font. The design should feature a simple, stylized icon of a coffee bean seamlessly integrated with the text. The color scheme is black and white. 

The model's ability to handle text, and even simple logical tasks like counting letters and writing the correct number under each item on a chalkboard, proves its sophistication. This is more than just an aesthetic feature; it demonstrates a deep, integrated understanding between the model's language and image components, opening up new, valuable use cases for branded assets and educational materials.

Prompt: Create a modern, minimalist logo for a pizzeria restaurant called 'Politana'. The text should be in a clean, bold, sans-serif font. The design should feature a simple, stylized icon of a pizza seamlessly integrated with the text. The color scheme is red, black and white.

3.4. Advanced Techniques for Product Mockups and Commercial Use

For professional product shots, such as for e-commerce or advertising, the model provides a specialized approach. The key is to describe the scene using the language of commercial photography:

• Resolution and Lighting: high-resolution, studio-lit

• Product and Background: a minimalist ceramic coffee mug in matte black, on a polished concrete surface

• Lighting Setup: three-point softbox setup designed to create soft, diffused highlights

• Camera Angle: slightly elevated 45-degree shot

• Focus and Details: sharp focus on the steam rising from the coffee

• Aspect Ratio: Square image

This method gives you a template for creating professional, clean outputs without a physical studio or complex software. It's especially useful for retail and consumer packaged goods (CPG) companies, as the model can combine multiple products into a single frame while maintaining object consistency.

Prompt: A high-resolution, studio-lit product photograph of a minimalist ceramic coffee mug in matte white, presented on a polished concrete surface. The lighting is a three-point softbox setup designed to create soft, diffused highlights and eliminate harsh shadows. The camera angle is a slightly elevated 45-degree shot to showcase its clean lines. Ultra-realistic, with sharp focus on the steam rising from the coffee. Square image.

5. Minimalist & negative space design

Create backgrounds for websites, presentations, or marketing materials where you plan to overlay text.

Template:

A minimalist composition featuring a single [subject] positioned in the [bottom-right/top-left/etc.] of the frame. The background is a vast, empty [color] canvas, creating significant negative space. Soft, subtle lighting. [Aspect ratio].

Example prompt:

A minimalist composition featuring a single, delicate red maple leaf positioned in the bottom-right of the frame. The background is a vast, empty off-white canvas, creating significant negative space for text. Soft, diffused lighting from the top left. Square image.

6. Sequential art (comic panel / storyboard)

Create compelling visual narratives, panel by panel, ideal for developing storyboards, comic strips, or any form of sequential art by focusing on clear scene descriptions.

Template:

A single comic book panel in a [art style] style. In the foreground, [character description and action]. In the background, [setting details]. The panel has a [dialogue/caption box] with the text "[Text]". The lighting creates a [mood] mood. [Aspect ratio].

Example prompt:

A single comic book panel in a gritty, noir art style with high-contrast black and white inks. In the foreground, a detective in a trench coat stands under a flickering streetlamp, rain soaking his shoulders. In the background, the neon sign of a desolate bar reflects in a puddle. A caption box at the top reads "The city was a tough place to keep secrets." The lighting is harsh, creating a dramatic, somber mood. Landscape.

Chapter 4: Beyond the Prompt — Advanced Conversational and Multimodal Workflows

4.1. Conversational Editing and Iterative Refinement

The conversational nature of Gemini 2.5 Flash Image is one of its most powerful features. Thanks to its "native multimodal architecture," the model can process both text and images in a single, unified step, enabling a fluid, continuous dialogue. This means you no longer need to start over with a complex new prompt for every change. Instead, you can make small, natural language adjustments like,

That's great, but can you make the lighting a bit warmer? or Keep everything the same, but change the character's expression to be more serious.

This process, known as "cross-edit coherence," means the model preserves both fine-grained details and the overall scene's feel across multiple revisions. This capability extends to a wide range of transformations, from restoring old photos by removing scratches to changing a person's pose or hair color with a simple command.

This low latency and conversational approach fundamentally changes the creative workflow from a series of disconnected transactions to a real-time collaboration. It lowers the cognitive load of re-prompting and makes precise, rapid adjustments possible, leading to a far more efficient and intuitive creative process.

4.2. Image editing: Adding & removing elements

Provide an image and simply describe the change you want. The model will analyze the original image's style, lighting, and perspective to make the edit look natural and maintain character consistency across a series of images.

Template:

Using the provided image of [subject], please [add/remove/modify] [element] to/from the scene. Ensure the change is [description of how the change should integrate].

Example prompt:

Using the provided image of my cat, please add a small, knitted wizard hat on its head. Make it look like it's sitting comfortably and matches the soft lighting of the photo.

Example input & output:

4.3. Inpainting: editing a specific area

You can conversationally tell Gemini 2.5 Flash Image to edit only one part of an image while leaving the rest completely untouched.

Template:

Using the provided image, change only the [specific element] to [new element/description]. Keep everything else in the image exactly the same, preserving the original style, lighting, and composition.

Example prompt:

Using the provided image of a living room, change only the blue sofa to be a vintage, brown leather chesterfield sofa. Keep the rest of the room, including the pillows on the sofa and the lighting, unchanged.

Example input & output:

4.4. Style transfer

Provide a photo and ask the model to recreate its content in the specific style or art movement.

Template:

Transform the provided photograph of [subject] into the artistic style of [artist/art style]. Preserve the original composition but render it with [description of stylistic elements].

Example prompt:

Transform the provided photograph of a modern city street at night into the artistic style of Vincent van Gogh's 'Starry Night'. Preserve the original composition of buildings and cars, but render all elements with swirling, impasto brushstrokes and a dramatic palette of deep blues and bright yellows.

Example input & output:

4.5. Maintaining Character and Style Consistency

A major challenge for most image generation models is "character drift," where a subject's appearance changes across different prompts or edits.

Gemini 2.5 Flash Image directly tackles this with a core feature that lets it maintain the same subject or visual style across multiple generations.

This means you can preserve a character's likeness... across different poses, lighting and environments , ensuring a single character or product can be used consistently for rich storytelling or branding purposes. You can even use this feature to reimagine a person "as a baker, sculptor, or teacher," or show them across different decades while retaining their identity.

This capability is a game-changer for professional content creation, from graphic novels to brand campaigns. The ability to maintain a central character's identity across a series of images without time-consuming manual edits is a profound value proposition that saves immense time and ensures brand fidelity.

46. Mastering Multi-Image Fusion and Composition

Gemini 2.5 Flash Image has the unique ability to blend multiple images into a single image.

This "multi-image fusion" allows you to seamlessly combine subjects, objects, or styles from different sources into a new, unified visual with a single text prompt.

For example, you can fuse an image of an astronaut with one of an overgrown basketball court to create a brand new scene of the astronaut dunking a basketball on that court.

It can also blend a photo of a person and their pet into a new portrait or place a product into a new environment for a professional-grade mockup. The model is capable of blending up to three input images into a single, realistic composite.

This feature bypasses the need for complex, layered editing in traditional software. It allows for the rapid prototyping of marketing materials and artistic experiments by fusing disparate concepts in a coherent and believable way.

Chapter 5: The Competitive Edge — A Comparative Analysis

5.1. Gemini 2.5 Flash Image vs. Midjourney

Midjourney is celebrated for its highly artistic, dreamy or cinematic style. It often adds its own creative spin to a prompt, making it an excellent tool for expressive, visually stunning, and unique imagery. Its strength lies in its ability to create powerful art and its vibrant community, which is a great source of inspiration.

However, this "creative" approach can be less literal in its prompt interpretation. In contrast, Gemini 2.5 Flash is designed for "tight control" and precise, literal adherence to the prompt. Its natural language interface is also more user-friendly for beginners than Midjourney's Discord-based command structure. While Midjourney excels at abstract, creative visuals, Gemini is engineered for precision and utility in real-time applications.

5.2. Gemini 2.5 Flash Image vs. GPT-Image-1

GPT-Image-1 is well-known for its strong prompt adherence, producing clean and literal images that closely match instructions. Its main advantage is its seamless integration into the ChatGPT ecosystem, making it incredibly easy to access and use. While GPT-Image-1 3 has improved editing capabilities, they are described as "more limited and less interactive" than other models. Gemini 2.5 Flash is noted for being "snappier on most edits" compared to GPT-Image-1 , with advanced capabilities like multi-image fusion and character consistency that give you a higher degree of granular control.

In fact, Google reports it has outperformed OpenAI's model on prompt compliance in human-rated ELO editing benchmarks.

While GPT-Image-1 provides ease of use and prompt accuracy, Gemini's focus on low latency and sophisticated editing tools makes it a powerful choice for users who prioritize speed and advanced manipulation.

Chapter 6: Practical Application and Ecosystem Integration

6.1. Integrating with Vertex AI and the Gemini API

For developers and enterprises, Gemini 2.5 Flash Image is available programmatically through the Gemini API and Vertex AI. This access allows the model to be integrated directly into custom applications, services, and workflows. The public preview model ID is

gemini-2.5-flash-image-preview, and it supports interleaved images and text, which is a key capability for building dynamic applications. This direct access underscores the model's role as a foundational building block for a new generation of creative and productive tools.

6.2. Using Gemini for Creativity and Productivity

Beyond its use by developers, Gemini 2.5 Flash Image is being integrated into a variety of existing creative platforms, embedding it directly into the workflows of its target users. Its integrations with Adobe Firefly, Adobe Express, and Figma demonstrate a strategic effort to make the model accessible where creative professionals already work.

For example, social media creators can use it within Adobe Firefly to craft a series of stylized graphics with a consistent look and feel. Marketers and small businesses can use it in Adobe Express to easily generate and adapt visuals for various formats, from flyers to social media posts, creating realistic, on-brand results in minutes.

The model's capabilities are also a core part of Google's own ecosystem. In Google Docs, for instance, users can generate images directly within a document for general content or as a cover image for Pageless mode documents. This integration signals a broader move to infuse generative AI capabilities directly into the tools people use every day, making them indispensable.

6.3. A Note on Limitations and Responsible Use

Like all new technologies, Gemini 2.5 Flash Image has a few limitations. While it is state of the art, it can still struggle with fine details, particularly with small faces and text, and sometimes produces results that are over-polished in a way that looks airbrushed.

The issue of “character drift" still occurs, though it is significantly reduced compared to previous models.

For responsible use, all images generated or edited with Gemini 2.5 Flash Image carry a visible watermark and Google's invisible SynthID digital watermark. This provides transparency by clearly indicating that the image is AI-generated, a critical step in building trust and ensuring the ethical use of the technology. This commitment to responsible development is a key differentiator in a competitive landscape where trust is paramount.

Chapter 7: Conclusion: The Future of Creative Control

7.1. Key Takeaways and Final Recommendations

Mastering Gemini 2.5 Flash Image is not simply a matter of knowing the right keywords; it is about understanding the model's core philosophy. The key to unlocking its full potential lies in treating it as a literal, unopinionated execution engine. The following principles are paramount:

1. Embrace Narrative Prompts: Shift from keyword lists to descriptive, narrative paragraphs that provide a rich, detailed blueprint for the model to follow.

2. Think like a Professional: Adopt the language of photographers, designers, and commercial artists to guide the model with precision.

3. Iterate Conversationally: Leverage the model's low latency and conversational nature to refine and perfect outputs in a fluid, real-time creative loop.

4. Explore Multimodal Capabilities: Utilize advanced features like multi-image fusion and character consistency to create complex visuals and consistent brand assets that were previously challenging to achieve.

7.2. The Road Ahead

Gemini 2.5 Flash Image represents a significant step toward a new era of creative control. Its blend of speed, precision, and multimodal capabilities, particularly its ability to maintain character consistency and perform complex edits conversationally, places it at the forefront of the generative AI landscape.

The future of creative work is shifting away from isolated, tool-based workflows and toward a deeply integrated, collaborative process powered by intelligent models.

The continued integration of models like Gemini into existing professional platforms suggests a future where AI image generation is not a separate application, but a seamless and indispensable part of the creative toolkit. For the modern creator, understanding and mastering this powerful new model is no longer an optional skill, but must-have skill - now or soon.

Stay tuney!

Piotr Macai

HEJ FROM THE NORTH Welcome to the premiere issue of Nordiske Rum, your curated journal for modern Scandinavian living. Each edition brings you design that speaks softly but leaves a mark — thoughtful, tactile, and deeply rooted in Nordic culture. This month, we journey through Copenhagen’s most refined homes and creative spaces — where natural light, simplicity, and quiet sophistication reign. LET’S STEP INSIDE →

HEJ FROM THE NORTH Welcome to the premiere issue of Nordiske Rum, your curated journal for modern Scandinavian living. Each edition brings you design that speaks softly but leaves a mark — thoughtful, tactile, and deeply rooted in Nordic culture. This month, we journey through Copenhagen’s most refined homes and creative spaces — where natural light, simplicity, and quiet sophistication reign. LET’S STEP INSIDE →

Feature Story

ILLUMINATING SPACES

Behind every perfect corner lies intention.

We step into three of Copenhagen’s most captivating homes: spaces bathed in calm light, layered with earthy tones and crafted with a sharp eye for functional beauty.

SEE HOW LOCALS STYLE WITH PURPOSE →

Visionary Voices

A CONVERSATION WITH CLARA LINDHOLM

Meet the architect redefining Copenhagen’s cityscape through sustainable minimalism. Clara speaks on light, restraint, and designing for longevity in a fast world.

READ THE FULL INTERVIEW →

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• Image & Video Generators: Discover state-of-the-art platforms such as Recraft, Genspark Designer, Pixverse, and Model Playground to boost your creative projects.

• Marketing & Management Tools: End-to-end solutions like Quickdesign or Go High Level make running and growing your business easier with AI-powered automation.

• Coding & Development Platforms: Explore coding agents, app generators, memory layers for LLMs (e.g., Memori, Cipher, Letta AI), and much more for developers and technical teams.

• Voice, Social Media, and Meeting Agents: Find agents for content creation, avatar generation, speech, meetings, and social media management.

• Huge Range of Categories: Easily browse by category, use quick search, or sort by newest, most popular, or free tools.

Why Ainsider Stands Out

• Curated & Up-to-Date: Only the most valuable and innovative tools are featured, each with a concise description of what makes it stand out.

• Optimized for Discovery: Categories, keyword search, and sorting make it simple to find exactly what you need in seconds.

• More Than a Directory: Subscribe to the Ainsider Newsletter for the latest news, guides, and free resources on AI agents, LLMs, templates, and much more.

Ready to Level Up Your AI Stack?

Don’t let the explosion of new AI tools overwhelm you. Bookmark Ainsider’s Directory and turn it into your AI discovery hub. Whether you’re a founder, marketer, developer, designer, or just enjoy experimenting with the latest tech—there’s something for everyone.

Explore the full directory at ainsider.tools and never miss an AI breakthrough again!

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ElevenLabs has launched the AI Engineer Pack, a comprehensive bundle offering over $1000 in free credits and exclusive discounts for leading AI models and software platforms. This initiative is designed to support developers, engineers, and startups by lowering the barrier to entry for cutting-edge AI development tools. Registration is straightforward—participants simply sign in using their GitHub account to unlock the offers.

What’s Included in the AI Engineer Pack

The AI Engineer Pack features complimentary credits and trials for dozens of top-tier services, tools, and infrastructure providers in the AI ecosystem. Here’s a snapshot of some of the major inclusions, with the total value exceeding $1,000:

• ElevenLabs Text-to-Speech: Free three months of the Creator plan ($55 value).

• Notion AI Workspace: Six months free on the Business Plan, including unlimited AI features ($12,000 value).

• E2B Platform: $2,000 in tool credits for new users.

• Intercom Fin AI Agent: Free for startups for the first year ($15,000 value).

• Mistral AI: $25 in model credits.

• BrowserUse: $100 in browser control credits.

• CodeRabbit, Cubic, Daytona, DeepReel: Free pro trials, discounts, and compute credits across code review, cloud infra, and AI video avatar platforms.

• Hugging Face Pro, Langfuse, Mintlify, and many more: These offer free months, discounts, or substantial credits on their plans.

How to Claim the AI Engineer Pack

Accessing these rewards is both simple and secure. Interested users need only visit the official website (aiengineerpack.com), choose the GitHub sign-in option, and instantly activate the offers under their account. There’s no lengthy application—just authenticate with a GitHub profile to verify developer status.

Benefits for Developers

The pack is tailored for engineers building with AI, giving instant access to essential tools for:

• Text-to-Speech and Conversational AI: Unlock models from ElevenLabs and other vendors.

• Collaboration and Workflow: Platforms like Notion, n8n, Render, and Intercom help streamline planning, deployment, and customer support.

• Development and Testing: Dedicated credits for code reviews, automated bug reporting, API documentation, and user authentication.

• Infrastructure and Deployment: Compute credits for cloud platforms, database services, and edge networking.

Why ElevenLabs Is Offering This Pack

With demand for AI tools surging, ElevenLabs aims to cement their platform as the entry point for first-time and professional AI engineers alike. By aggregating dozens of partner offers into a unified toolkit, the AI Engineer Pack makes it easier and more affordable to start building powerful AI apps, agents, and workflows.

Getting Started

To access the AI Engineer Pack, visit aiengineerpack.com and sign in with a GitHub account. The bundle’s value proposition - more than $1,000 in credits and discounts - makes this one of the most generous offers in the AI developer space right now.

Whether launching an AI-powered startup, testing state-of-the-art text-to-speech, or exploring web scraping and automation, this pack provides a springboard to experiment, iterate, and innovate with the best tools available

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Welcome at Weekly Ai Newsletter! See what happen in AI, Agents and LLM space in last week:

Table of Contents

• THE MOST IMPORTANT EVENTS FROM LAST WEEK

• Google released Nano Banana model🎥

• Runway launches Game Worlds

• Alibaba releases Qwen-Image-Edit

• Pixverse released their V5 Video model 🎥

• Higgsfield Product-to-Video

• ElevenLabs Agents can now navigate IVR phone trees

• SEO with AI in 2025: Google’s Guidelines & Winning Strategies for the AI Search Era

  • 🤖 AI Agents

  • 🎨 Creative AI

  • 🛠️ Productivity & Assistants

  • 📈 Marketing Tools

  • 🧠 AI Models

• ✅ Summary

🆕 New AI Agents, Tools & Models in Ainsider Directory

The AI ecosystem is evolving rapidly. This month we’ve added a fresh set of agents, creative tools, and models to the Ainsider Tools Directory. Explore solutions that streamline coding, content creation, design, marketing, and multimodal AI.

🤖 AI Agents

Wondercraft
AI Agent for content creation, enabling users to create podcasts, voice and text content by chatting.

• Chat-driven content generation

• Voice and video support

• Easy publishing workflow
  URL: https://www.wondercraft.ai/

Cipher
Open-source memory layer designed specifically for coding agents.

• Persistent memory for agents

• Optimized for developers

• Open-source
  URL: https://github.com/campfireinc/cipher

Qoder
Agentic AI coding platform that embeds deep codebase insight with adaptive memory.

• Agentic code analysis

• Adaptive memory layer

• Supports code & no-code workflows
  URL: https://qoder.com/

Trickle
AI-first agentic canvas for co-creating production-ready apps and websites.

• Co-creation canvas

• AI agent collaboration

• No-code app building
  URL: https://trickle.so/

Letta AI
Advanced open-source memory layer for agents and LLMs.

• Long-term AI memory

• Open-source framework

• Learn & improve over time
  URL: https://www.letta.com/

Flowstep
UX/UI Designer AI Agent.

• Automated UI design generation

• Optimized for user flows

• Designer-focused features
  URL: https://flowstep.ai/

🎨 Creative AI

Genspark Designer
Agent specialized in AI-driven design generation.

• Automated design output

• Specialized for visuals

• Fast prototyping
  URL: https://www.genspark.ai/ai_designer

Google Nano Banana (Gemini)
SOTA AI Image Model from Google.

• High-quality image generation

• Backed by Gemini

• Free to use
  URL: https://gemini.google.com/app

Model Playground
Platform for comparing image outputs across multiple AI models.

• Multi-model comparison

• One-click testing

• Supports free + premium access
  URL: https://modelplayground.ai/

Qwen Image Editing
AI-powered image editing using Qwen model.

• Advanced image editing

• High-quality outputs

• Integrated with Qwen ecosystem
  URL: https://chat.qwen.ai/?inputFeature=image_edit

🛠️ Productivity & Assistants

Vibecodeapp
AI-powered coding platform with terminal support.

• AI coding assistance

• Powerful terminal interface

• App building support
  URL: https://www.vibecodeapp.com/

Krisp AI
AI meeting assistant with transcripts, summaries, and action items.

• Real-time transcription

• Meeting summaries

• Action item extraction
  URL: https://krisp.prfo/OeJxJ0k

📈 Marketing Tools

Quickdesign
End-to-end AI platform for Meta Ads.

• Automated ad design

• Campaign optimization

• Easy deployment
  URL: https://quickdesign.io/

Go High Level
All-in-one AI-powered marketing and growth platform.

• CRM + automation

• Funnel builder

• Growth-focused features
  URL: https://www.gohighlevel.com/

🧠 AI Models

Dots.OCR
1.7B OCR vision-language model for multilingual document understanding.

• Large-scale OCR

• Multilingual document support

• Open-source
  URL: https://github.com/rednote-labs/dots-ocr

✅ Summary

This update brings powerful coding agents, creative AI design and editing tools, multimodal assistants, and advanced AI models into the Ainsider ecosystem. Whether you build apps, generate content, or analyze documents, these additions expand what’s possible with AI.

See all my resources!

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SEO with AI in 2025: Google’s Guidelines & Winning Strategies for the AI Search Era

Introduction

In 2025, Google redefined how websites appearing in search are evaluated, ranking content based not on its origin—AI or human—but on its quality, originality, and usefulness. The dynamic between AI-generated content and SEO shifted after major core updates, with Google’s evolving policies aiming to support helpful, expert-driven pages and to penalize mass-produced, low-value material. Here’s what every content creator and SEO professional needs to know.

Key Principles: Google’s 2025 SEO Guidelines for AI-Generated Content

1. Quality & Usefulness Over Content Origin

Whether your content is written by a human, generated by AI, or a mix of both, Google cares most about content quality, accuracy, and relevance. The focus is explicitly on content that serves user intent and provides unique value—not how it was created.

• Human oversight is essential: Use automation as a tool, not a replacement. Add unique insights, context, and examples.

• Fact-check rigorously: AI generates plausible but not always accurate answers. Errors or misinformation will undermine your credibility and rankings.

2. AI Content & E-E-A-T in 2025

"E-E-A-T" (Experience, Expertise, Authoritativeness, Trustworthiness) remains core. Google expects all content, AI-generated or otherwise, to demonstrate real-world experience, credible expertise, and trust.

• Elevate AI output with author bios, expert commentary, and links to trustworthy sources.

• Provide genuinely helpful information backed up by data, case studies, or lived experience—not generic or derivative text.

3. Mass-Produced / Low-Effort Content is Penalized

Google’s 2025 updates improved detection of unoriginal, low-value, or unedited AI content. If your content is mostly copied, paraphrased, or generic—with no human editing or real value—it may be rated as “lowest quality” and lose visibility.

• Avoid auto-publishing bulk AI content.

• Prioritize manual review and curation with every piece.

4. Algorithm & SERP Changes: SGE Becomes AI Overviews

With the March and June 2025 Core Updates, Google’s SERP shows AI Overviews at the top of search. These summaries cite authoritative sources and favor expert-level, well-structured pages.

• When AI Overviews are displayed, organic click-through rates drop by ~34.5%—appearing inside these summaries is now as important as Position 1.

• To be cited, sites must be recognized for expertise, clarity, and topical depth.

5. Transparency & Structured Data Pay Off

Google rewards sites that are transparent about content creation (e.g., labeling AI-generated sections), include clear author information, and use schema.org metadata to clarify context.

Best Practices for SEO with AI-Generated Content (2025)

Do:

• Use AI to support brainstorming, outlines, or initial drafts—final content must be reviewed by humans for depth and originality.

• Add real-life examples, case studies, and expert commentary wherever possible.

• Optimize for user intent, not keywords alone. Focus on answering real user questions in short, direct paragraphs and FAQs.

• Include author bios and credentials; link to credible, authoritative sources in your niche.

• Use structured data and schema markup so Google can understand and cite your page contextually.

• Continuously monitor content performance and update regularly to maintain accuracy and freshness.

Don’t:

• Mass-publish unedited, generic, or repetitive AI content.

• Rely only on AI for sensitive, experience-based, or high-stakes topics (e.g., medical, legal, financial).

• Keyword-stuff or overload with fluff to fill space.

• Overlook accessibility and user experience—add image alt text, clear formatting, and logical headings.

Timeline & Impact: The 2025 Algorithm Shifts

• Jan 2025: Google rebrands SGE as AI Overviews and begins European rollout.

• Mar–Apr 2025: Major core updates deploy; AI Overviews expand globally, organic traffic shifts sharply.

• Apr 2025: Quality Rater Guidelines updated—raters told to flag scaled AI content and unoriginal or “filler” material as lowest quality.

• Q2–Q3 2025: Inline citations appear in AI Overviews, making it vital for your site to be recognized as a trustworthy source.

• Industry Effect: Traditional first-position rankings lose prominence; being cited in AI summaries and optimizing for Generative Engine Optimization (GEO) is the new growth strategy.

The Future: GEO & Human + AI Collaboration

The true winners in 2025 are those who view AI as a powerful content assistant—not the entire process.

• Combine AI efficiency with editorial oversight, real experience, and continuous learning.

• Optimize content to be clear, accessible, and citable—so your brand is referenced, quoted, and trusted inside AI-driven SERP features.

• Remember: GEO—Generative Engine Optimization—now sits alongside classic SEO as an essential part of web strategy.

Conclusion

AI is transforming SEO, but Google’s rules are straightforward: quality, value, and trust are the real currency of visibility. Don’t chase shortcuts—build a strong foundation of expertise and transparency in every piece of content you produce.

As search keeps evolving, let this be your north star: AI can scale your process, but only human-guided, audience-focused content will stand out and be rewarded in the AI-powered search ecosystem of 2025 and beyond.

Sources Consulted:

• Google Search’s Official Guidance on Generative AI Content (May 2025): https://developers.google.com/search/docs/fundamentals/using-gen-ai-content?hl=pl

• Flow Ninja: SEO and AI Content Do’s & Don’ts (2025): https://www.flow.ninja/blog/seo-and-ai-generated-content

• Search Engine Land: Rater Guidelines Update (Jan 2025): https://developers.google.com/search/blog/2023/02/google-search-and-ai-content?hl=pl

• Synwolf: E-E-A-T, Algorithms & AI Content After the 2025 Update: https://synwolf.com/can-ai-generated-content-rank-on-google-heres-what-googles-e-e-a-t-says-in-2025/

• IMMWIT: Generative Search Optimization Timeline, Market Data (2025): https://www.immwit.com/news/generative-search-optimization-updates-2025/

AI AGENTS & TOOLS DIRECTORY EXPLORE

AGENTS & AUTOMATION TEMPLATES

Discover the freshest arrivals in the Ainsider AI Tools & Agents Directory. From app builders that let you co-create production-ready software with AI to open-source agent frameworks you can customize, here are last week’s most notable releases and premieres.

Table of Contents

• New AI Agents, Tools and Models added to Ainsider …

  • App Builders

  • AI Agents

  • AI Models & AI Development

  • Creative AI

  • Marketing & Productivity

  • The 2030 Skill-Stack: WEF Report

  • Explore the Ainsider Automation Hub

New AI Agents, Tools and Models added to Ainsider tools Directory

🧠 The 2030 Skill-Stack: What the WEF Sees as “Core” for Every Worker

“In 2030 the premium will no longer be on what you know, but on how quickly you can learn, un-learn and re-learn—while keeping the machines aligned with human values.”
– Future of Jobs Report 2025, World Economic Forum

---

🔑 The Top-20 “Core” Skills in 2030

The chart ranks 100 emerging skills by the share of employers that already call them “core” today and expect them to keep rising.
Here are the 20 that cross the 60 % threshold—the closest thing we have to a universal curriculum for the next decade.

Table

Copy

Rank	Skill Cluster	% of Employers Calling it “Core & Rising”
1	AI & Big Data	80 %
2	Networks & Cyber-security	78 %
3	Technological Literacy	76 %
4	Curiosity & Lifelong Learning	74 %
5	Creative Thinking	72 %
6	Resilience, Flexibility & Agility	70 %
7	Analytical Thinking	68 %
8	Systems Thinking	66 %
9	Leadership & Social Influence	64 %
10	Talent Management	62 %
11	Design & User Experience	60 %
12	Motivation & Self-Awareness	59 %
13	Empathy & Active Listening	58 %
14	Environmental Stewardship	57 %
15	Programming	56 %
16	Marketing & Media	54 %
17	Service Orientation & Customer Service	52 %
18	Teaching & Mentoring	50 %
19	Global Citizenship	48 %
20	Quality Control	46 %

---

🚀 The AI-Native Skill Triad

If you zoom in on skills that are both tech-heavy and already past the 55 % mark, three stand out as the “AI-native triad”—the must-have toolkit for every knowledge worker:

1. AI & Big Data (80 %) – Not just prompt engineering, but model evaluation, data governance and bias auditing.

2. Networks & Cyber-security (78 %) – Because every new AI agent is a new attack surface.

3. Technological Literacy (76 %) – The fluency to converse with machines and translate their outputs into human decisions.

Upshot: If you can secure data, question algorithms, and explain the results to non-technical stakeholders, you’re in the 2030 sweet-spot.

---

🧩 The “Human Amplifier” Skills

Paradoxically, the more we rely on AI, the more we reward skills that AI can’t fake:

• Curiosity & Lifelong Learning – The only sustainable response to half-life of skills dropping below 2.5 years.

• Creative Thinking – Divergent ideation still outperforms generative models in breakthrough innovation.

• Empathy & Active Listening – Customer trust and team cohesion hinge on genuine human connection.

• Systems Thinking – Seeing second- and third-order effects when algorithms optimize for the first order only.

---

📉 Skills Already Sliding Out of Focus

Employers still list but no longer expect to grow:

• Manual dexterity & precision

• Sensory-processing abilities

• Reading, writing, basic maths (now table-stakes, not differentiators)

---

🎯 Three Take-aways for 2025–2030 Learning Plans

1. Stack, don’t swap: Pair every technical skill with a human amplifier (e.g., AI + ethics, cyber-security + storytelling).

2. Measure in learning velocity: Aim for at least one new micro-certification every 6 months in AI-adjacent fields.

3. Build trust capital early: Volunteer for cross-functional AI pilots—visibility plus real-world data beats online courses alone.

Explore the Ainsider Automation Hub

Ready to use for various business & marketing social media: https://ainsider.gumroad.com/

Ainsider Gumroad

Welcome to this week’s AI Insider newsletter. We’ve combed through the latest software, models and agents added Ainsider.tools - all to bring you a curated lineup of new AI agents, models, and development frameworks.

Table of Contents

• New AI Agents, Models and Tools

• Higgsfield Product-to-Video

• Macaron

• Parlant 3.0

• UI-TARS-desktop

• Blink.new

• Open Lovable

• Yupp

• Jan V1

• MemU

• Kuse AI

• Graphiti

• Airtop

• Agno UI

• What you can do with automations

• Free & premium n8n automation & agents

See all below, and follow me at X: https://x.com/piotrmacai to be with AI, Agents and LLMs technology always up-to-date!

Last week in AI: New AI Agents, Models and Tools

Find more Agents, tools and AI models at Ainsider.tools directory!

Ainsider.tools

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/

Table of Contents

• OPENAI RELEASED GPT-5

• OpenAI drops ChatGPT OSS

• Google Genie 3

• Anthropic Releases Claude Opus 4.1

• ElevenLabs Launches Eleven Music

• Runway Aleph: Revolutionizing AI Video Editing

• xAI Introduces Grok Video Imagine

• Lindy AI Agent Builder 3.0

• Google’s Gemini Storybooks

• Google’s Gemini Storybooks

• New AI Tools and Agents added to Aisider.tools directory

Welcome to this week’s AI Insider Newsletter! The past seven days have been nothing short of a whirlwind in the AI world, with groundbreaking releases and advancements from some of the biggest players.
Let’s dive into the most exciting updates that have shaped the AI landscape this week.

See also my X with all AI stuff: https://x.com/piotrmacai

This week has been a testament to the rapid evolution of AI, with innovations spanning interactive environments, coding, music, video, agent automation, and storytelling.

From Google and Anthropic to xAI and OpenAI, the industry is pushing boundaries, making AI more accessible and creative than ever

New AI Tools and Agents added to Ainsider.tools directory

. Stay tuned for more updates as these technologies continue to transform our world!

Explore more AI Resources

Ainsider AI

Ainsider store Agents and Automation ready-to-use systems See at Gumorad →

Ainsider tools directory All the best AI Agents, models and tools in one place Ainsider.tools →

Table of Contents

• AI Tools, Models and Agents added to Ainsider.tool …

• The most important news and events from AI space

  • Ideogram Character Release

  • Gemini 2.5 Deep Think Unveiled

  • ChatGPT Study Mode Introduction

  • Alibaba’s Wan 2.2 AI Video Model

  • FLUX.1 Krea Photorealistic Model

  • Lovable will be full-stack

  • Tencent’s HunyuanWorld-1.0

  • Microsoft Copilot Mode in Edge

  • Zai’s GLM-4.5 SOTA Agentic AI

  • Huge n8n updates

  • Closing Thoughts

• n8n AI Agents & Automations free templates

AI Tools, Models and Agents added to Ainsider.tools directory

The most important news and events from AI space

This week has been a whirlwind of innovation, with new models, tools, and features reshaping the AI world. Let’s explore the highlights!

Ideogram Character Release

Gemini 2.5 Deep Think Unveiled

Google has rolled out Gemini 2.5 Deep Think, a multi-agent model that employs parallel AI agents to tackle complex questions. Currently available to Google AI Ultra subscribers, this model excels in major benchmarks, showcasing enhanced reasoning capabilities that promise to elevate AI performance across various tasks.

ChatGPT Study Mode Introduction

OpenAI has introduced Study Mode for ChatGPT, designed to enhance learning by guiding users through problems step-by-step using the Socratic method. Ideal for homework, test prep, and exploring new topics, this feature offers hints and questions to foster deeper understanding, marking a significant step in educational AI tools.

Alibaba’s Wan 2.2 AI Video Model

Alibaba has released Wan 2.2, an open-source AI video generation model with a Mixture-of-Experts architecture that boosts video quality. Capable of producing 720p video at 24fps on consumer GPUs like the RTX 4090, this model lowers the barrier for high-quality video creation.

FLUX.1 Krea Photorealistic Model

Black Forest Labs has introduced FLUX.1 Krea [dev], an open-weights model that overcomes the typical 'AI look' to deliver photorealistic results. Fully compatible with FLUX.1-dev, this model is set to enhance integration and realism in AI-generated imagery.

Lovable will be full-stack

Tencent’s HunyuanWorld-1.0

ent has unveiled HunyuanWorld-1.0, the first open-source 3D world generation model. This tool creates immersive 3D scenes from text or images, exporting them as mesh files for use in game engines, opening new possibilities for virtual world development.

Microsoft Copilot Mode in Edge

Microsoft has launched Copilot Mode in the Edge browser, transforming it into an AI-powered experience. This experimental mode anticipates user actions, streamlining browsing by predicting and executing tasks without constant input.

Zai’s GLM-4.5 SOTA Agentic AI

Zai has released GLM-4.5, China’s most advanced open-source agentic model, achieving state-of-the-art performance. With native agent capabilities for autonomous multi-step task planning, this model stands out for its versatility and power.

Huge n8n updates

Closing Thoughts

What an incredible week for AI innovation! From character consistency to 3D world generation, the advancements are pushing the boundaries of what’s possible. Stay tuned to AI Insider for more updates as this exciting field continues to evolve.

n8n AI Agents & Automations free templates

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Table of Contents

• New AI Tools, Agents and Models added to Ainsider.tools Directory

  • 🎨 Design & UI Tools

    • Codia AI

    • Relume

  • 🧩 App Builders & Low-Code

    • Github Spark

    • Tempo

  • 🖼️ Image & Creative

    • Easyedit

  • 🎵 Music & Audio

    • MusicGPT

    • Voxtral

  • 🧠 AI Dev & Data

    • Rapid API

    • Context7

    • Zep

  • 🤖 Agent Builders

    • String

• The most important news & updates from last week

  • ChatGPT now supports MCP

  • Alibaba released Qwen Coder 3

  • Midjourney Video updates

  • Claude Code is just insane

  • Hedra Avatars

  • Explore Ainsider AI

New AI Tools, Agents and Models added to Ainsider.tools Directory

🎨 Design & UI Tools

Codia AI

AI Design and Coding platform with Figma plugins.
Key Features:

• Figma-native AI copilot for auto-generating React & Tailwind components

• One-click export from design to production-ready code

• Real-time collaboration with version control for design tokens
  Url: https://codia.ai/

Relume

Toolkit for Figma & Webflow.
Key Features:

• 1,000+ Webflow/Figma component library synced via Relume Library

• AI Site Builder that turns a sitemap into responsive layouts in minutes

• Smart class-naming & style-guide generation for consistent design systems
  Url: https://www.relume.io

🧩 App Builders & Low-Code

Ship apps faster, code optional

Github Spark

Full-stack AI app builder from Microsoft – works directly inside Copilot.
Key Features:

• Natural-language prompts become full-stack apps (Next.js, Node, Postgres)

• Instant GitHub repo scaffolding with CI/CD, auth & infra-as-code

• Real-time preview & edit inside Copilot Chat
  Url: https://copilot.microsoft.com/

Tempo

AI-powered React app builder and development platform.
Key Features:

• Drag-and-drop React UI with AI auto-completion of props & state logic

• Integrated backend generation (Supabase, Prisma, REST/GraphQL)

• One-click deploy to Vercel & Netlify with rollback
  Url: https://www.tempo.new/

Kiro dev

AI IDE that takes prototypes all the way to production.
Key Features:

• AI pair-programmer with context-aware refactors & tests

• One-command deploy to K8s, AWS Lambda or Cloudflare Workers

• Built-in vector DB & observability for LLM apps
  Url: https://kiro.dev/

🖼️ Image & Creative

Edit, remix, and generate visual assets

Easyedit

Flux-powered open-source AI image editing platform.
Key Features:

• Open-source inpainting & outpainting with Flux transformer backbone

• Layer-wise editing masks & non-destructive history

• Runs locally (GPU) or via lightweight Docker container
  Url: https://www.easyedit.io/

🎵 Music & Audio

Compose and tweak tracks with AI

MusicGPT

AI Music Tool for producers to create and edit music.
Key Features:

• Text-to-music generation with genre, mood & key controls

• Stem separation for remixing any track (drums, bass, vocals)

• DAW-grade export to MIDI, WAV & Ableton Live set
  Url: https://musicgpt.com/

Voxtral

State-of-the-art speech model from Mistral AI.
Key Features:

• 48 kHz ultra-realistic voice cloning with <1 min of audio

• Multilingual TTS & STT across 30+ languages & dialects

• Real-time low-latency inference for conversational AI
  Url: https://mistral.ai/news/voxtral

🧠 AI Dev & Data

Power-up your stack with models, memory & APIs

Rapid API

API library hub for AI development.
Key Features:

• 40k+ AI & data APIs (LLMs, vision, finance, sports) in one marketplace

• Auto-generated SDKs in Python, JS, Go & curl snippets

• Usage analytics, rate-limiting & billing handled out-of-the-box
  Url: https://rapidapi.com/

Context7

API Docs MCP Server for most LLMs and frameworks.
Key Features:

• MCP protocol plug-in that injects live docs into Claude, Cursor, Windsurf

• Auto-updates when upstream docs change (zero maintenance)

• Supports 100+ SDKs: OpenAI, LangChain, LlamaIndex, Next.js, Prisma…
  Url: https://context7.com/

Zep

Context engineering and memory platform for AI Agents.
Key Features:

• Long-term memory with vector search & user session recall

• Built-in PII redaction & GDPR-compliant data retention

• Drop-in SDK for LangChain, CrewAI & custom agents
  Url: https://www.getzep.com/

🤖 Agent Builders

Assemble autonomous helpers from plain text

String

AI Agent builder from text prompt.
Key Features:

• Plain-English agent definition that auto-creates tools, memory & prompts

• Live agent playground with step-through debugging & logs

• One-click publish to Slack, Discord, WhatsApp & custom webhooks
  Url: https://string.com/

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