On this page
A practical cut of Education: AI Evaluation Harness Guide for engineering and product leads — decisions first, framework essays last.
Who this is for
Use boring technology where the risk is operational. Save novelty for the one wedge that makes the product worth buying.
Decisions that still look smart in 18 months
Use boring technology where the risk is operational. Save novelty for the one wedge that makes the product worth buying.
Build checklist we actually use
Ignore the buzzwords. For Education: AI Evaluation Harness Guide, the hard constraint is usually data ownership or ops capacity — not how many features fit on a roadmap slide.
Failure modes we keep seeing
Teams that write trade-offs down before coding burn fewer sprints when a stakeholder changes their mind mid-build. We keep ADRs short on purpose.
How we measure rollout
Ignore the buzzwords. For Education: AI Evaluation Harness Guide, the hard constraint is usually data ownership or ops capacity — not how many features fit on a roadmap slide.
We update this when delivery patterns change on live client work.