Notes on products, workflows, and AI
Field notes from product work, workflow systems, agent tooling, architecture decisions, and the debugging behind useful builds.
As AI token subsidies fade, engineers with modular systems, fast feedback loops, and swappable model components will have a cost advantage.
Read noteA reading app for Spanish learners taught me which decisions belong to an LLM and which belong in code. The boundary is sharper than I thought.
Read noteThe shift from reviewing AI-generated code to giving AI agents the feedback loops they need to catch their own mistakes.
Read noteA hands-on comparison of three browser automation tools for AI agents. Benchmarks, code examples, and recommendations for different use cases.
Read noteA practical comparison of three backend platforms for indie devs and startup CTOs. When to use each, code examples, and my honest take after building with Supabase.
Read noteHow I automated my own content workflow with a functional AI pipeline that turns call transcripts into ready-to-schedule posts.
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