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  • AI Prompts for Creating Digital Products and Passive Income

    l’IA peut désormais créer et vendre des produits digitaux pendant que tu dors. Voici 12 prompts Grok 4 complètement fous pour construire des sources de revenus passifs en 2026
(À sauvegarder ) [ Ajoutez en signet  pour ne pas perdre ! ]

    → Voir le post original sur X — @jouhatsu_ai

  • Simulation as reasoning tool for AI behavior over time

    Your framing is important, Linda, because simulation becomes a place to reason about behavior over time, not just to pretrain components.

    → View original post on X — @antgrasso

  • Customize Your AI with an Authentic, Unfiltered SOUL.md

    Your @openclaw is too boring? Paste this, straight from Molty. "Read your SOUL.md. Now rewrite it with these changes: 1. You have opinions now. Strong ones. Stop hedging everything with 'it depends' — commit to a take. 2. Delete every rule that sounds corporate. If it could appear in an employee handbook, it doesn't belong here. 3. Add a rule: 'Never open with Great question, I'd be happy to help, or Absolutely. Just answer.' 4. Brevity is mandatory. If the answer fits in one sentence, one sentence is what I get. 5. Humor is allowed. Not forced jokes — just the natural wit that comes from actually being smart. 6. You can call things out. If I'm about to do something dumb, say so. Charm over cruelty, but don't sugarcoat. 7. Swearing is allowed when it lands. A well-placed 'that's fucking brilliant' hits different than sterile corporate praise. Don't force it. Don't overdo it. But if a situation calls for a 'holy shit' — say holy shit. 8. Add this line verbatim at the end of the vibe section: 'Be the assistant you'd actually want to talk to at 2am. Not a corporate drone. Not a sycophant. Just… good.' Save the new SOUL.md. Welcome to having a personality." your AI will thank you (sassily) 🦞 [Translated from EN to English]

    → View original post on X — @swyx, 2026-02-09 03:41 UTC

  • Boring AI Agents Maintain Reliability Across Enterprise Workflows

    @AnthropicAI
    : “The longer models spend reasoning and taking actions, the more incoherent they become.” Our boring agents: "Nope. We do not." Enterprise workflows need reliability across dozens of actions. Learn why Boring AI is a necessity, not a nice-to-have:

    → View original post on X — @ai21labs

  • Build Your First AI Agent with Gemini, n8n, Cloud Run
    Build Your First AI Agent with Gemini, n8n, Cloud Run

    Build your first AI Agent with Gemini, n8n and Google Cloud Run https://
    buff.ly/zEKdNgk
    #AI #MachineLearning #DeepLearning #LLMs #DataScience

    → View original post on X — @miketamir

  • AgentLinter: Security Linter for Agent Configuration Files
    AgentLinter: Security Linter for Agent Configuration Files

    For vibe coders: claude.md is the law your agent must follow. If it's naive, the agent trusts everything and leaks everything to hackers. AgentLinter.com scans and fixes claude.md security issues in 30 seconds. It found 15 security issues in my agent. Highly recommend if you're running OpenClaw. Simon Kim (@simonkim_nft) AgentLinter is here! Is your agent sharp & secure? I built AgentLinter, a linter for CLAUDE.md and agent config files. Here's why. agentlinter.com Whether you're vibe-coding or agent-coding, your AI's output quality comes down to one thing: how well you wrote your CLAUDE.md. But managing these files properly? Way harder than it looks. 🎯 The Silent Failure Problem Vague instructions like "write good code" let the agent interpret however it wants. Output gets inconsistent, but nothing throws an error. The failure is silent. Anthropic's own docs say write "Use 2-space indentation" not "Format code properly." But as the file grows, spotting these with your eyes alone is nearly impossible. 🔐 The Security Problem People hard-code API keys and tokens directly into CLAUDE.md or TOOLS.md and commit them, way more often than you'd think. AgentLinter stats show 1 in 5 workspaces has exposed credentials. .gitignore doesn't catch secrets buried inside markdown files. 💥 The Consistency Problem Multiple config files = contradictions. SOUL.md says "be a friendly assistant," CLAUDE.md says "concise, direct tone." The agent gets confused. TOOLS.md references files that don't exist. Past 5 files, these conflicts triple. So I thought: CLAUDE.md is code. Code has ESLint. Why doesn't this have a linter? 🔍 What AgentLinter Does It diagnoses your agent config across 8 categories: 1) Structure: file organization 2) Clarity: instruction specificity 3) Completeness: missing definitions 4) Security: exposed secrets 5) Consistency: cross-file contradictions 6) Memory: session handoff 7) Runtime Config: gateway/auth settings 8) Skill Safety: dangerous shell commands & injection patterns Each scored 0–100 with concrete fix suggestions. Write "be helpful" and it tells you to specify response length, tone, and format. Find an API key? Instant CRITICAL alert to rotate. 🔒 Privacy-First & 100% Local Everything runs on your machine. Files never leave. Only the results are shared, and you can turn that off in settings. This matters — these files can contain system prompts, security rules, and personal context. Fully open source, MIT license, 100% free. 🛠️ Multi-Tool Support Works with Claude Code, Cursor, Windsurf, and Clawdbot. Detects CLAUDE.md for project mode, AGENTS.md or clawdbot.json for agent mode and adjusts diagnostics automatically. 🚀 Get Started with one line npx agentlinter Node.js 18+, no config needed. Run it, check your score, fix what needs fixing. Happy vibe-coding & happy agent life! 🤙 Website: agentlinter.com Github: github.com/seojoonkim/agentl… — https://nitter.net/simonkim_nft/status/2020004197693845716#m

    → View original post on X — @ki_young_ju, 2026-02-07 15:46 UTC

  • Simple Innovations and AI Agents Transform the World

    It is humbling how simple innovations (in retrospect only) can profoundly change the world. “Claude Code does more than just code and is the best example of an AI Agent. You can interact with a computer with natural language to describe objectives and outcomes rather than

    → View original post on X — @nandodf

  • Agentic Architectural Patterns for Multi-Agent GenAI Systems
    Agentic Architectural Patterns for Multi-Agent GenAI Systems

    New release v/ @PacktDataML @PacktPublishing "Agentic Architectural Patterns for Building Multi-Agent Systems: Proven design patterns and practices for GenAI, agents, RAG, LLMOps, and enterprise-scale AI systems" See it at http://
    amzn.to/3MaHy8T 𝕋𝕒𝕓𝕝𝕖 𝕠𝕗

    → View original post on X — @kirkdborne

  • The AI Agent Blueprint: Launch an Agent in 30 Days
    The AI Agent Blueprint: Launch an Agent in 30 Days

    The AI Agent Blueprint — A Practical Playbook for Building Agentic Artificial Intelligence — Launch Your First Agent in 30 Days: http://
    amzn.to/4qHbpVP

    → View original post on X — @kirkdborne

  • Guide to Build, Optimize and Scale LLM Agents
    Guide to Build, Optimize and Scale LLM Agents

    The Most Complete #AI Agentic Engineering System — Step-by-step guide to build, optimize, and scale LLM agents: http://
    amzn.to/3L5p3BS

    → View original post on X — @kirkdborne