Featured lab
Intent Tetris
A fast intent-classification game built from the messiest part of conversational AI: deciding what a customer actually wants when context, emotion, and overlapping topics obscure the primary goal.
Labs
Public experiments in conversational AI, evaluation, and product design.
Featured lab
A fast intent-classification game built from the messiest part of conversational AI: deciding what a customer actually wants when context, emotion, and overlapping topics obscure the primary goal.
Three retrieval configurations run against the same help-center corpus with one eval harness: chunk size and overlap swept across dense retrieval, comparing cosine similarity against MMR. The numbers picked the winner, not the demo.
Companion to the RAG case study
A reproducible data study behind the essay "Ecommerce AI Hit an Inflection Point." It pulls thousands of real GitHub projects, runs topic modeling and a text classifier over them, and charts the trajectory. Plain Python, no API key.
Quiet category to a crowd: ~20x in two years
A LangGraph prototype where a coordinator agent routes work to research, analysis, and writing agents, with hybrid RAG and an output verification pass. Built to think through multi-agent routing, not to run your production workload.
Prototype · architecture study
A small Python tool that runs the same question through different prompt strategies (direct, structured, chain of thought) and lays the results side by side with timing and token counts. A quick check before a real eval harness exists.
Small utility · Python
Work with me
Consulting through ICXA few consulting engagements each quarter through Intelligent CX Consulting . Start at services.
Hiring ChristiOpen to conversational AI, AI product, and applied AI roles. View my résumé.
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