
ClawUp
251 posts



🌟 Building Reliable Agentic AI Systems🌟 martinfowler.com/articles/relia… - @thoughtworks What it actually takes to build product-ready agents: → Start with bounded workflows, not open-ended autonomy. Agents need clear task boundaries, allowed tools, and explicit stopping conditions. → Treat the LLM as one component in a larger system. Reliability comes from orchestration, state, retries, fallbacks, and observability. → Engineer the context deliberately. The goal is not “more context,” but the right context, at the right step, in the right format. → Use the right retrieval path for the data. RAG works well for unstructured documents; Text-to-SQL is better for structured facts and aggregations. → Make outputs traceable. Serious users need citations, source passages, intermediate steps, and enough evidence to verify the answer. → Add reflection loops, but make them specific. Check process quality, evidence sufficiency, and final answer quality separately. → Design for failure from day one. Agents will hit bad retrieval, malformed tool calls, ambiguous questions, and partial data. → Evaluate continuously. Offline test sets are useful, but live-traffic evaluation is where product quality actually shows up. → Keep humans in the loop where risk is high. Product-ready does not mean fully autonomous; it means trustworthy within the workflow.


OpenClaw v2026.6.9 is out, with a focus on paper cuts! 💬 Richer Telegram delivery 👏 Steadier agent recovery 🧬 Stronger Codex integration 📦 Slimmer distribution 👌 Improvements in search and skills github.com/openclaw/openc…

Building AI agents is only half the story. With the new GOAT & Metis Agent Identity, you can equip your agent with: • An on-chain wallet • An ERC-8004 identity & reputation • x402 payments on GOAT Network One install. Three essential capabilities. Powered by @MetisL2 × @GOATNetwork.




obviously there's a ton of slop on the internet given brian's tweet this morning and the feedback it got, i decided to build an API my agent could use to detect AI-generated content (text, images, video) your agent can use it too @ stabledetect.dev this literally took 20 minutes it's actually so fucking easy to sell to agents


Kevin @kevinliu shared how Zero-Knowledge Virtual Machines lay the foundation for trust in AI and Web3. By proving off-chain computation on-chain, they enable verifiable execution while leveraging Bitcoin for correctness, unlocking secure, trust-minimized infrastructure for the future.













