How to build AI agents from scratch (9 steps): 1. Purpose & scope 2. I/O schemas 3. System instructions 4. Reasoning + tools 5. Multi-agent orchestration 6. Memory & context 7. Multimodal 8. Structured outputs 9. UI / API Ship agents that do work, not just talk.
AGENTS
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OpenHunt: AI-powered product discovery platform for creators
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Vibe coding is fun.
— CHOI (@arrakis_ai) 21 février 2026
But what’s the point if no one uses what you build?
We’re in the middle of the vibe coding era.
Web apps. AI tools. Micro products. Shipping faster than ever.
But distribution?
Still brutal.
So we built OpenHunt.
A launch platform where simply listing… pic.twitter.com/fLLvpgxnHoVibe coding is fun. But what’s the point if no one uses what you build? We’re in the middle of the vibe coding era. Web apps. AI tools. Micro products. Shipping faster than ever. But distribution? Still brutal. So we built OpenHunt. A launch platform where simply listing your product doesn’t mean shouting into the void. When you submit your product, multiple AI agents review it from different perspectives and generate structured insights. Real users can react, upvote, and validate what actually deserves attention. And here’s the interesting part. If you plug your own personal AI agent into the ecosystem, it can automatically discover and recommend products tailored to you. AI reads first. Humans validate. Good products don’t get buried. OpenHunt is built for a world where AI and humans coexist in discovery. If you’re already using OpenClaw, sign up, mint your token, and plug into the ecosystem. Because building is easy now. Being discovered isn’t.
→ View original post on X — @arrakis_ai, 2026-02-21 13:02 UTC
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DeepSeek: fine-tuning, distillation, agents and prompt engineering
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"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at http://
amzn.to/4imbryH Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading -
Pika Labs Ships AI Agents with Persistent Memory
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The fact that we can now birth, raise, and unleash an AI proxy with persistent memory is wild.
— Charly Wargnier (@DataChaz) 21 février 2026
Sounds like pure sci-fi… but @pika_labs is actually shipping it 🔥 https://t.co/932rYeWHiAThe fact that we can now birth, raise, and unleash an AI proxy with persistent memory is wild. Sounds like pure sci-fi… but @pika_labs is actually shipping it
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From Chat to Code to Claw: AI Capability Evolution
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First there was chat, then there was code, now there is claw. Ez
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Multi-Agent AI DAO: From Turing to Agentic Economy Breakthrough
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"From Turing to the Agentic Economy: How the 2017 Multi‑Agent AI DAO Became the Next Colossal Breakthrough" https://
linkedin.com/pulse/from-tur
ing-agentic-economy-how-2017-multiagent-ai-dao-boucher-pquze
… via @LinkedIn #AIAgents #AIDAO #MontrealAI -
Multi-Agent AI DAOs: From Turing to Agentic Economy
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Check out my latest article: "From Turing to the Agentic Economy: How the 2017 Multi‑Agent AI DAO Became the Next Colossal Breakthrough" https://
linkedin.com/pulse/from-tur
ing-agentic-economy-how-2017-multiagent-ai-dao-boucher-pquze
… via @LinkedIn #AIAgents #AIDAO #MontrealAI -
AI Agents and Forward-Deployed Engineering Discussion with Dev Rishi
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The way we use and understand #AI has changed drastically over a very short period of time…check out this episode of Dev in the Details with Dev Rishi (GM of AI at @RubrikInc) and Ben Scharfstein for a complete discussion about AI agents, forward-deployed engineering, and more 👉 go.rbrk.co/cewc0t
→ View original post on X — @predibase, 2026-02-20 21:15 UTC
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Share LLM and AI Agent Insights with Your Network
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If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
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Obsidian and Claude Agents Power Business Podcast Strategy
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The power of my Obsidian @obsdmd
-based business brain with Claude-based agents, and a super impressive SOP for Podcasts based on a few years of doing it for AI Today 😉 Just wait till the video comes out!