Model-Adjacent Products, Part 3: Quality Gates
Model outputs are hypotheses that need verification pipelines to catch errors before users do.
Posts
Technical writing, ideas, and explorations
Model-Adjacent Products, Part 2: Context & Tools
Memory and hands for the model: retrieval that doesn’t hallucinate. Tools that don’t break production.
Model-Adjacent Products, Part 1: The Architecture
The physics of production AI: latency engineering that keeps humans in the loop. Token economics that don’t bankrupt you.
Model-Adjacent Products, Pre-Read: The Autonomy Ladder
Before you build: the mental models for human-AI collaboration. Why L1 copilots need different infrastructure than L4 autonomous agents.
Model-Adjacent Products: A Builder's Guide
A 6-part series on building production AI systems. The foundation model is the CPU; your product is the computer you build around it.