Notas
Notas de dentro do trabalho.
Um caderno público sobre decisões de produto, sistemas, IA, dados, mercados e os trade-offs que só aparecem quando algo precisa ser lançado.
Nota mais recente
Move fast, but know what you are measuring
A Dublin Tech Summit field note on one-page plans, uncomfortable metrics, founder-led market learning, and why more motion is not the same as progress.
O arquivo
Perguntas abertas, decisões e aprendizados.
Não é um diário. Cada nota começa em algo real, extrai um padrão e deixa um próximo passo útil.
Notas
Background agents and the work humans still need to own
Why useful background agents need triggers, queues, reviewable outputs, and clear human ownership more than they need vague autonomy.
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Agent Skills are AI workflows
Why agents need process, training material, and verification steps before their work becomes predictable enough to trust.
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Growth analytics should create decisions, not dashboards
How I think about connecting Search Console, PostHog, and Hermes into a weekly review loop for acquisition, product behavior, and follow-up work.
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The underrated part of AI agents is cron
Why scheduled AI workflows matter when the goal is steady, reviewable work instead of impressive one-off demos.
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Building MCP: when your data becomes part of the agent workflow
A practical note on why MCP matters when agents need real data, bounded tools, auditability, and human judgment instead of another pasted prompt.
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How I use Obsidian as operating memory
A practical look at how my Obsidian vault, cron jobs, GitHub issues, and Hermes workflows keep context moving toward decisions and reviewable work.
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Hermes, my agent for everything
How I am using Hermes as a practical execution surface across notes, repos, GitHub Projects, cron workers, QA, and publishing without handing over judgment.
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Mentorship Is an Operating System
A personal note on why junior developers need structure, patience and real feedback, not motivational speeches.
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Good Teams Make Product Work Possible
A short note on the habits that make technical teams useful: ownership, responsibility, autonomy and closeness to the customer problem.
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Start Smaller Than Your Ambition
A product lesson from years of building software: the first version should prove the problem, not express every idea in the backlog.
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