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Apr '25 •
Welcome to Our Community! 🚀
Hello and a warm welcome to everyone! I'm Didac, and I'm absolutely delighted to have you join us on this exciting journey into the realms of n8n, Vibe Coding, and Artificial Intelligence. Our community is dedicated to fostering innovation, creativity, and collaboration in these cutting-edge fields. What We Offer: - n8n Automation: Discover how to automate tasks and workflows seamlessly using n8n, enhancing efficiency and productivity. No fluff or clickbait, real raw stuff. - Vibe Coding: Immerse yourself in coding practices that emphasize creativity and personal expression, making programming both effective and enjoyable. My goal is to teach everyone how to build incredible things without writing a single line of code. If I can do it, everybody can! - Artificial Intelligence: Explore the latest AI trends, practical applications, and groundbreaking ideas that can revolutionize your projects and workflows. I'm a madman when it comes to AI tools and new technologies in general. Basically, anything related to AI, so I will do my best to keep you tuned with the latest and most relevant news in AI. Get Involved: - Introduce Yourself: Share a bit about your background, interests, and what you aim to achieve in the world of automation and AI. - Engage in Discussions: Participate in conversations, ask questions, and exchange insights with fellow members. - Collaborate on Projects: Join forces on innovative projects that push the boundaries of what's possible. Stay Connected: - Community Guidelines: Please take a moment to review our community guidelines to ensure a respectful and productive environment for all. - Support: If you have any questions or need assistance, feel free to reach out. We're here to help! Let's embark on this journey together, learning, sharing, and innovating. Your contributions are what will make this community thrive. Pricing structure: - This community will be forever FREE. When I have enough material to cover, we will migrate to a paid VIP community.
17d •
I shipped!
I didn't want to talk about it until it was real. It's real now. I launched last week. Haven AI — the first voice-based AI guide for freelancers that remembers your whole journey. You talk to Ariel, your AI guide. She uses Socratic questioning to help you see things you can't see on your own. She doesn't give advice. She asks the questions you didn't know you needed to be asked. The problem it solves: AI is creating an identity crisis for freelancers. Not "my rates are dropping" — deeper than that. "If AI can do what I do, what am I?" We analyzed 13,700+ freelancer quotes across every corner of freelancing and 13 coaching modules to understand how this actually shows up. The patterns are brutal. Nobody's helping them navigate it. What I think this community will find interesting — the build: - Ariel runs on Claude, with a Socratic coaching framework layered on top. She doesn't just respond. She coaches through stages. - Streaming voice pipeline: Deepgram STT → Claude streaming → ElevenLabs WebSocket. The user hears Ariel thinking out loud in real time. First audio in ~2 seconds. Latency and cost were constant battles — every millisecond and every token mattered. - Persistent memory: Ariel maintains a "User Story" — a structured narrative of your journey that carries across every session. She doesn't forget who you are, or what you told her three weeks ago. - 8 occupation families instead of rigid personas — Creative, Content, Marketing, Technical, Healthcare, Business, Service, General. A palliative care nurse and a UX designer both get coaching that speaks to their world. - The full VOC research base (13,700+ quotes) feeds both the coaching and content marketing. The same data that trains Ariel powers the blog. - Infrastructure: AWS end-to-end — ECS Fargate, CloudFront, ElastiCache, Cognito, SES. Non-coder. No backend team. Just me and Claude. Happy to answer anything about the build, the architecture, or the 847 things that broke along the way.
25d •
Autoresearch-skill - Make your Skills better
What if a skill could improve itself? I built one. Then let it loose on its own source code for 10 rounds. The result: 52 versions. 109 experiments. 100 adversarial eval prompts conquered. Zero discards. (I'm not making this up, check in comments) Meet the Autoresearch Loop skill. Based on Karpathy's autoresearch methodology, it systematically improves anything measurable: other skills, n8n workflows, system prompts, SOPs, business processes. The loop is simple: Define "better" → Lock everything else → Change one thing → Test → Keep or discard → Repeat The execution is not. Why is it so good? We ran it against itself across 10 rounds. Each round we wrote 10 new, harder eval prompts targeting gaps the skill didn't cover yet. Each round it started near 0% and climbed to 100%. By the end it handles things like: • Emergency production hotfixes mid-loop • Multi-stakeholder metric conflicts • LLM-as-judge scoring drift • Artifact forking when scope grows too broad • Campaign cost/ROI tracking across months • When to abandon a loop entirely vs retire an artifact 462 lines. Every single one battle-tested against a prompt specifically designed to break it. This is the skill that makes other skills better. The proof is in the methodology: it improved itself 52 times, until we ran out of ways to challenge it. Download it at give it a try with any of your current skills!
Mar 5 •
OpenClaw best security practices - Deploy your Claws with confidence!
Here is the security guide I promised, packed with everything I've learned over the last few weeks about safely deploying and managing your own OpenClaw instance. Enjoy! https://is-your-openclaw-safe-he-qjg7nak.gamma.site/
Mar 16 •
OpenClaw - New Series
Hey everyone 👋 I owe you an apology. I've been MIA for a while and I know it. Honestly? I've been deep in the 8th dimension building with OpenClaw and completely lost track of time. You know how it goes. You start setting up one AI agent, then it's two, then you're orchestrating a team of eight and suddenly two months have disappeared. But I'm back. And I'm bringing everything I learned with me. I'm starting a new series here where I'll share everything I've picked up (and everything I'm still figuring out) about setting up OpenClaw instances from scratch. The real stuff. Not the "it works in the docs" version, but the "I broke it six times before it worked" version. Things like: 🧠 How to give your agents actual memory that survives restarts ⚡️ Running everything on a $5/month server (no GPU needed) 🤖 Orchestrating multiple agents that actually talk to each other 🔧 The gotchas nobody warns you about 💰 Keeping costs stupid low while running production agents I already published my first resource — a full memory system setup you can install on any OpenClaw agent in 5 minutes: https://clawhub.ai/autosolutionsai-didac/agent-memory-setup More coming soon. If you're building with OpenClaw or thinking about it, stick around. This is going to be a fun ride. Let me know in the comments what you'd want me to cover first 👇
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