AI for Developers and Builders
A practical sequence for developers, analysts, and workflow implementers.
Open learning path: AI for Developers and BuildersTopic
Evaluation
This topic appears in 18 published training items.
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Learning paths - 3
AI for Operations and Knowledge Work
A calmer route into everyday AI usage for operators, PMs, and knowledge workers.
Open learning path: AI for Operations and Knowledge WorkDurable Human Work With AI
A cross-role path for framing, delegation, evidence, review, decisions, and stop rules.
Open learning path: Durable Human Work With AILessons - 5
Agent Failure Handling and Recovery
Design retry, checkpoint, verification, and escalation patterns before an agent workflow fails in production.
Open lesson: Agent Failure Handling and RecoveryGrounding and Context
Learn how source material, context windows, and review habits reduce unsupported AI output.
Open lesson: Grounding and ContextReviewing AI Output Before You Hand It Off
Learn a practical review pass for AI drafts before they are shared, sent, published, or handed to another person.
Open lesson: Reviewing AI Output Before You Hand It OffTesting AI-Assisted Features Before Production
Build a repeatable evaluation loop with test sets, pass/fail gates, and release decisions before shipping AI-assisted features.
Open lesson: Testing AI-Assisted Features Before ProductionVerifying AI Output: Spotting and Checking Hallucinations
Learn how to spot unsupported AI output, choose a verification depth, and label confidence before using a draft.
Open lesson: Verifying AI Output: Spotting and Checking HallucinationsResources - 6
Agent Readiness Guide
A practical framework for deciding whether a workflow is ready for agent-style automation.
Open resource: Agent Readiness GuideAI Feature Test Plan Worksheet
A pre-production worksheet for defining AI feature test cases, pass/fail gates, regression checks, and release decisions.
Open resource: AI Feature Test Plan WorksheetBeginner AI Output Verification Worksheet
A beginner worksheet for extracting claims from AI output, choosing verification depth, and labeling confidence before use.
Open resource: Beginner AI Output Verification WorksheetEvaluation Checklist
A starter checklist for reviewing AI-generated work before it leaves draft mode.
Open resource: Evaluation ChecklistGrounding Checklist
A compact worksheet for tying AI output to source material before you rely on it.
Open resource: Grounding ChecklistOutput Handoff Review Worksheet
A worksheet for reviewing AI-assisted drafts before sharing them, handing them off, or using them in a workflow.
Open resource: Output Handoff Review WorksheetGlossary entries - 4
Hallucination
A confident-sounding output that is incorrect, invented, or unsupported by the available evidence.
Open glossary: HallucinationHuman in the Loop
A workflow where a person reviews, approves, or redirects AI work at defined checkpoints.
Open glossary: Human in the LoopSource Trail
A record that ties important claims, findings, or decisions back to the source material used.
Open glossary: Source TrailVerification
Checking AI output against sources, owners, or ground truth before trusting or using it.
Open glossary: Verification