Troy Web Consulting·12h agoThinking Agentically: How to Spot Agentic AI ProblemsNot every problem needs AI. But there are problems you’d never have thought to solve before, and learning to spot them is the hard part.
Priyadarshan Kempraj·18h agoWhen to build Agents and when not toAs a new parent, every night during my toddler’s bedtime, I have to come up with new stories, a close-to-impossible feat for me. So, over…
Varadarajan Kannan·1d agoPart 43: The second aberration — Patch After Patch: How the Industry Is Rebuilding the Workflow…Before an agent reads a single word of the customer’s request, it may already have spent a third of its context reading the descriptions of…
Pablo Diaz·1d agoAgent Identity on Vercel with Hashicorp VaultIdentity and Trust for AI Workloads, Part 3
Adil Shamim·2d agoHarness EngineeringThe model is the engine. The harness is the car, the pit crew, and the rulebook. Here is how to build one around Claude, one layer at a…
Ahnaftanjid·2d agoToo many MCP tools: what a long tool list costsEvery connected tool is prompt text your agent re-reads on every call. When that starts to hurt, and how to pick a fix.A response icon1A response icon1
Agent Native·3d agoDeep Research Agent That RemembersThe work deep research agents throw away goes well beyond the final answer.A response icon1A response icon1
Vishnu·3d agoSame Prompt, Different Answer: How AI Models and Harnesses Really WorkImagine opening an AI chatbot and asking a simple question:
InData Science CollectivebySophia Chen, PhD·4d agoBuilding a Forecasting Agent Platform, Part 3: Turning Agentic Workflows into MCP Tools and SkillsRunning Annual Forecasting and Planning in Claude CodeA response icon1A response icon1
parameswaran marimuthu·4d agoHuman-in-the-Loop with LangGraph: Lifecycle, Resumes, Errors and the Approvals Nobody AnswersAgents are getting good at deciding what to do. The hard part in production is deciding what they’re allowed to do on their own. A refund…
