[ INSIGHTS ]
Notes from the field on applied AI.
Essays on strategy, engineering, and evaluation from the team taking AI from prototype to production.
Engineering
The migration I didn't do
Engineering
The model is the easy part
Engineering
The LLM does the reading. Deterministic code owns the truth.
Engineering
Vercel to Cloudflare Workers: not as straightforward as I assumed
Strategy
Shipping AI you can trust
Evaluation
Evaluation is the real product
Engineering
RAG that survives production
Strategy
Where AI actually earns its keep
Evaluation
The cost model nobody builds until it's too late
Engineering