Reviewed guides

Decision support that has passed the evidence gate.

A guide appears here only after it has a distinct job, worked example, useful artifact, two authoritative sources, named ownership, dates, limitations, and change history.

Editorial gate active

No legacy guide is being presented as reviewed.

57 historical article routes remain available for provenance, but they are excluded from search and discovery until each passes the current source and review standard.

First editorial batch

16 guides are queued, not quietly relabeled.

Proposed guideTrackStatusRemaining gate
Choose a no-code AI pilot with measurable controlsbusinessin-reviewWorked example and named domain review
Scope a manufacturing AI pilot without hiding failure modesbusinessin-reviewPrimary industry evidence and pilot metrics
Evaluate a retail AI workflow with human approval pointsbusinessin-reviewCurrent sources and limitations
Build a practical AI risk and oversight registerbusinessin-reviewPolicy artifact and reviewer
Compare AI career paths using current role evidencecareersin-reviewCurrent labor sources and role rubric
Make evidence-based decisions about an AI careercareersin-reviewCurrent labor sources and reviewer
Build a 90-day proof-of-work plan for an AI rolecareersin-reviewPortfolio example and role freshness
Assess an AI job posting without relying on hypecareersin-reviewCurrent job-source sample and limitations
Teach prompt experiments as evidence, not prompt tricksteachingin-reviewAssessment rubric and educator review
Teach learners to test generative AI limitationsteachingin-reviewWorked lesson and accessibility review
Create clear AI-use rules for a learning taskteachingin-reviewPolicy example and institutional scope
Explain training-data limits with a claim-check labteachingin-reviewPrimary sources and learner exercise
Select a RAG architecture using testable constraintsbuildersin-reviewVersioned lab and evaluation set
Compare vector storage options with a reproducible matrixbuildersin-reviewVersioned benchmarks and disclosure
Evaluate a local model on privacy, quality, and costbuildersin-reviewPinned versions and test cases
Gate an AI service deployment with rollback evidencebuildersin-reviewReproducible lab and failure tests