Never trust an LLM's output directly. Here's the validation layer I put on every agent.
Here's a failure mode I've seen in nearly every AI agent codebase I've reviewed: the agent receives a model response, trusts the JSON it contains, and…
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I built a multi-agent loop where an adversarial Claude reviewer reads your actual codebase before approving plans
Large language models are surprisingly optimistic reviewers. Ask an LLM to review an implementation plan and it will often approve things that are obj…
I built a BYOK browser tool that turns any article into atomic Obsidian notes
I kept procrastinating on taking notes from articles I read. The cycle was always the same: read something interesting, tell myself I'll write proper …