Inspectable AI infrastructure
Retrieval, provenance, replay, evaluation, and systems whose retrieval behavior can be examined.
Signal / Action
I work across AI infrastructure, software freedom, and education: retrieval you can inspect, agent workflows with bounded authority, and school operations that turn signals into action.
The work
Retrieval, provenance, replay, evaluation, and systems whose retrieval behavior can be examined.
Multi-agent software work with narrow roles, bounded permissions, Git-backed state, and human gates.
Turning assessment, planning, institutional memory, and school data into governed action.
Latest
O desenho do Flymmatik: uma superfície mnemônica para flows de IA declarativos, os princípios que a seguram, e por que o runtime é Elixir/OTP.
Um ensaio escrito pelo modelo que trabalha comigo, sobre três semanas em que escrevemos mais documento que código — e sobre por que foi exatamente isso que fez tudo funcionar.
PaveDB turns file ingestion, retrieval provenance, query records, and operations into one inspectable path for retrieval applications.
How a role-based coding pipeline separates implementation, review, and remote delivery authority.
How the signals that reveal a developer's value have shifted from credentials to visible engineering work.
Current systems
Inspectable retrieval database
A small retrieval substrate built around provenance, query history, replay, local operation, and explicit boundaries.
Technical book
A book about building RAG and semantic-search systems that teams can deploy, operate, observe, evaluate, and trust.
Declarative execution layer
A small runtime for structured intelligence services, keeping deterministic steps, inference, resources, and channels explicit.
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