Product Craft Has Always Mattered. Now You Have No Excuse.
AI collapsed the cost of iteration. The only remaining explanation for a mediocre product is a mediocre set of decisions.
ReadProduct builder at the intersection of LLMs, AI, and fintech. Focused on building intelligent systems that scale responsibly and safely.
AI collapsed the cost of iteration. The only remaining explanation for a mediocre product is a mediocre set of decisions.
ReadAn interactive AI resume that lets people ask questions about my work instead of reading a static PDF
ReadI built a command-line coding agent in very few lines of Python to understand what these systems actually are
ReadI built a a portable work state CLI tool to easily switch between LLMs
ReadLet's take a local manifold walk to understand why small models are sometimes better, more resource responsible and won't burn a hole in your pocket.
ReadI'm running into rate limits every hour or so into using claude code. I analyzed one session: < 3% of my AI bill went to intelligence. The rest? Regurgitating stale and bloated context
ReadI was fixing a bug for my newborn's app and ChatGPT had a complete brain-body disconnect: It kept reasoning 'don't do the thing' → did it → 'oops I did this' → redo → 'oops I did it again'
ReadDemos are easy. Production is hard. If you want internal knowledge search that actually works, you're not 'adding RAG'—you're building a pipeline where the LLM is the easiest part.
ReadFrom Evals 101 to Production Grade systems.
ReadA command-line coding agent built in very few lines of Python. A learning project and art project that compresses the full architecture of tools like Codex and Claude Code into a single readable file: REPL loop, OpenAI tool calling, permission prompts, Unix-backed tools, memory, skills, and sub-task planning. Source here.
A command-line tool to extract Claude Code session data and generate portable handoff documents for use with ChatGPT and other LLMs. It parses session logs, generates structured markdown using local Ollama models, and includes automatic secret redaction for API keys and credentials. Source here.
Extractive text summarization in Python using classic NLP + graph ranking. It ended up powering multiple Reddit bots. Source here