Glossary
Agent
An AI workflow that can use tools, follow a goal, and work through more than one step.
Open glossary: AgentSearch
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Glossary
An AI workflow that can use tools, follow a goal, and work through more than one step.
Open glossary: AgentLesson
Understand when an agent loop is justified and where human checkpoints should remain.
Open lesson: Agent Boundaries and Human ReviewLesson
Design retry, checkpoint, verification, and escalation patterns before an agent workflow fails in production.
Open lesson: Agent Failure Handling and RecoveryResource
A practical framework for deciding whether a workflow is ready for agent-style automation.
Open resource: Agent Readiness GuideCourse
When agent patterns help, when they do not, and how to design boundaries, review, recovery, and rollout gates.
Open course: Agents and ArchitectureResource
A checklist for choosing the lowest reliable AI route before spending premium model time on a task.
Open resource: AI Cost Discipline ChecklistResource
A pre-production worksheet for defining AI feature test cases, pass/fail gates, regression checks, and release decisions.
Open resource: AI Feature Test Plan WorksheetLearning Path
A practical sequence for developers, analysts, and workflow implementers.
Open learning path: AI for Developers and BuildersLearning Path
A calmer route into everyday AI usage for operators, PMs, and knowledge workers.
Open learning path: AI for Operations and Knowledge WorkLearning Path
A role-based sequence for architects, managers, and technical decision-makers.
Open learning path: AI for Technical LeadersCourse
Core concepts for understanding model behavior, grounding, terminology, and practical limits.
Open course: AI FoundationsLesson
A leader-focused playbook for deciding whether an AI pilot is bounded, governed, measurable, and ready to expand.
Open lesson: AI Governance and Rollout DecisionsResource
A leader-ready worksheet for deciding whether an AI pilot has enough evidence, governance, and ownership to expand.
Open resource: AI Pilot-to-Rollout Readiness ChecklistResource
A leader-ready worksheet for turning AI vendor claims into testable questions, evidence gates, and go/no-go decisions.
Open resource: AI Vendor & Tool-Claim Evaluation WorksheetResource
A beginner worksheet for extracting claims from AI output, choosing verification depth, and labeling confidence before use.
Open resource: Beginner AI Output Verification WorksheetGlossary
The amount of information a model can take into account in a single interaction.
Open glossary: Context WindowLesson
Learn a practical fit test for deciding when AI should draft, summarize, compare, structure, or stay out of the workflow.
Open lesson: Deciding Where AI FitsLearning Path
A cross-role path for framing, delegation, evidence, review, decisions, and stop rules.
Open learning path: Durable Human Work With AILesson
Learn how technical leaders can turn AI vendor promises into testable claims, evidence gates, and rollout decisions.
Open lesson: Evaluating AI Vendors and Tool ClaimsResource
A starter checklist for reviewing AI-generated work before it leaves draft mode.
Open resource: Evaluation ChecklistGlossary
Supplying a model with relevant source material so its answer is tied to the right context.
Open glossary: GroundingLesson
Learn how source material, context windows, and review habits reduce unsupported AI output.
Open lesson: Grounding and ContextResource
A compact worksheet for tying AI output to source material before you rely on it.
Open resource: Grounding ChecklistGlossary
A designed limit that keeps AI work inside approved behavior, data, tool, or review boundaries.
Open glossary: GuardrailGlossary
A confident-sounding output that is incorrect, invented, or unsupported by the available evidence.
Open glossary: HallucinationGlossary
A workflow where a person reviews, approves, or redirects AI work at defined checkpoints.
Open glossary: Human in the LoopLesson
Learn how to recognize sensitive material, decide what should not go into an AI tool, and use safer substitutes before prompting.
Open lesson: Knowing What Not to Share: Sensitive Data and AI Use BoundariesResource
A worksheet for reviewing AI-assisted drafts before sharing them, handing them off, or using them in a workflow.
Open resource: Output Handoff Review WorksheetCourse
Hands-on habits for choosing AI-fit work, prompting, review, and workflow support in everyday professional work.
Open course: Practical AI at WorkGlossary
The instruction, context, source material, and output request given to an AI model.
Open glossary: PromptLesson
Learn how to test prompts as drafts, diagnose failures, improve them with a simple loop, and keep human review in place.
Open lesson: Prompt Iteration and Safe Review HabitsResource
A compact worksheet for checking prompt quality, output reliability, and safe use before acting.
Open resource: Prompt Review ChecklistLesson
Learn a practical prompting pattern that improves clarity without pretending prompts solve everything.
Open lesson: Prompt Structure That Survives Real WorkResource
A reusable worksheet for drafting, planning, summarizing, and synthesis prompts.
Open resource: Prompting TemplateResource
A worksheet for keeping claim, source, confidence, and verification ownership visible during AI-assisted research.
Open resource: Research Source Trail WorksheetLesson
Learn how to use AI for research support while preserving source links, uncertainty, and human verification ownership.
Open lesson: Research With a Source Trail: Triaging AI-Assisted Findings Without Losing the ThreadGlossary
Finding relevant material at request time and placing it into the model's working context.
Open glossary: RetrievalLesson
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 OffResource
A practical checklist for deciding whether source material belongs in an AI prompt, upload, or connected workflow.
Open resource: Sensitive Data & AI Use Pre-Prompt ChecklistGlossary
A record that ties important claims, findings, or decisions back to the source material used.
Open glossary: Source TrailLesson
Learn how to use AI to summarize one source, synthesize several sources, and preserve what the sources actually say.
Open lesson: Source-Grounded Summarizing and SynthesizingResource
A worksheet for turning source material into summaries and syntheses without losing evidence, gaps, or uncertainty.
Open resource: Source-Grounded Summary & Synthesis WorksheetLesson
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 ProductionResource
A worksheet for deciding whether a workplace task is a strong, partial, or weak fit for AI assistance.
Open resource: Use-Case Fit WorksheetGlossary
Checking AI output against sources, owners, or ground truth before trusting or using it.
Open glossary: VerificationLesson
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 HallucinationsLesson
Understand model prediction, confidence, and why fluent output is not the same as truth.
Open lesson: What an LLM Actually DoesResource
A worksheet for sorting workflow steps into AI-can-do, AI-can-draft, and human-only categories with review gates.
Open resource: Workflow Classification Worksheet