Designing Human-in-the-Loop AI Systems
Place human review where it changes risk: define authority, evidence, escalation paths, feedback quality, and audit records.
Evaluation and Safety
Understand the stack
Clear field guides for choosing models, designing workflows, and shipping reliable AI products.
Place human review where it changes risk: define authority, evidence, escalation paths, feedback quality, and audit records.
A durable, task-first framework for comparing model quality, reliability, latency, privacy, and total operating cost.
A practical mental model for tokens, attention, training, inference, context, and the limits of generated answers.