What multi-agent design is really about
Why role boundaries, shared state, coordination, and verification matter more than simply adding more agents.
Writing
AI product thinking, grounded in practice.
Field notes from building AI systems, making product decisions, and learning where intelligent workflows succeed or fail.
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My AI agent kept failing. The problem was state.
Why multi-step reasoning depends on explicit memory, failure tracking, stopping criteria, and uncertainty.
How I defined the agent’s charter
The product decisions behind a goal-oriented financial research agent, from tool constraints to trust requirements.
I wanted to invest in stocks. So I built an AI to think like an analyst.
What building an investment research system taught me about product framing, multi-signal synthesis, and trust.