Production AI advisory

Field Notes.

Production decisions, failure modes, architecture tradeoffs, economics, evaluation, and operating implications. Each note is built to expose what changes when an AI system has to survive real use.

Published Field Notes

Evidence and decision logic for production AI.

These are not tutorials. Each Field Note isolates a consequential production question, shows the underlying evidence or system design, and makes the production implication explicit.

AI EconomicsArchitectureContext & DataEvaluation & VerificationOperational RiskDecision Ownership

Field Note 001 · AI Economics

The 8X Engineer

A higher weekly rate can still produce a much cheaper project when role consolidation, AI leverage, and loop compression change the delivery system.

Decision questionAre you pricing individual labor rates, or the complete cost and calendar of getting the same accepted system into production?

Open the Field Note and calculator

Production Case · Evaluation & Verification

Inside 77 Rules

See how image-and-text AI, explicit rules, evidence checks, fixed scoring, model testing, and human review are separated inside one production-shaped system.

Decision questionWhat must sit around a probabilistic model before its output is trustworthy enough to influence a consequential decision?

Open the production case

Method Note · Architecture & Ownership

The FDE Control Loop

A seven-stage production loop from business value and context through system design, complete-path build, hardening, real users, and return to value.

Decision questionWhere does your prototype stop being a demo and become a system someone can actually operate, verify, recover, and own?

Inspect the production method

Field Notes.

Evidence and decision logic for production AI.

The 8X Engineer

Inside 77 Rules

The FDE Control Loop

Put the system question under scrutiny before the cost of being wrong compounds.