DocuLens AI: What I learned building an AI reviewer in 24 hours
A field note on using AI-driven development to ship and deploy a source-grounded document review app without hiding the tradeoffs.
Read noteCase studies & field notes
Privacy-safe write-ups on production RAG, AI QA automation, LLM evaluation, agent workflows, and the engineering choices behind them.
A field note on using AI-driven development to ship and deploy a source-grounded document review app without hiding the tradeoffs.
Read noteHow I built a small private web app to organize personal medical studies, upload PDFs and images, and share temporary access during doctor visits.
Read →An explanatory review of Ornith-1.0, DeepReinforce's open-source family for agentic coding based on self-scaffolding: what it is, why it matters, and where to stay cautious.
Read →Capytail es una herramienta local para registrar skills, seleccionar capacidades relevantes y cargar solo el contexto que un agente necesita.
Read →Una nota técnica sobre cómo adaptamos el patrón de Advisor de Claude Code en Kilo Code usando subagents read-only, benchmarks con GLM 5.2 Cloud y MiniMax M3, y una separación clara entre executor y advisor.
Read →A field note on a local LLM POC for Playwright test automation: why fine-tuning collapsed, what recovered it, and how retrieval, critique, repair, and verification closed the gap.
Read →How I shipped this portfolio as a small production AI product: Astro, MiniMax M3, curated retrieval, VPS deployment, and basic abuse hardening.
Read →A public, privacy-safe look at two production RAG systems I built inside PK Studio: one for creating artist presskits, and one for analyzing DJ sets and music-industry workflows.
Read →A field note on how I configured my AI coding workflow around Pi, el Gentleman, Gentle AI, OpenSpec, subagents, model routing, skills, restore paths, and review gates.
Read →