Notes from building Yekar.AI
What we learned putting agents to work.
Engineering decisions, product thinking, and the unglamorous parts of running agents in production - written for the people who have to operate them.
LatestWhat we mean by an agent management system?Building an agent is the easy half. The hard half is everything that decides whether you can leave it running: identity, approvals, triggers, and a record of what it did.Read the post 
Knowledge that cites its sources - and admits when it has noneRetrieval that always returns something is retrieval that will eventually invent something. Here is how we made an agent's knowledge answer with a page number, or not at all.Read the post 
Agents fail in production for boring reasonsNot hallucination. Expired credentials, a schema the model half-remembered, a tool that silently returned nothing, and a retry that ran the same payment twice.Read the post Start with the job
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