TRAINING AI

WORKFLOW LIBRARY / RUNNABLE PLAYBOOKS

Have work to hand off? Take a process, not another prompt.

A good workflow keeps the work logic intact when tools change: what input must exist, what AI handles, where a person must check, and what output is ready to hand over.

Choose a playbook ↓

PLAYBOOK INDEX

Choose by the deliverable you need.

01

Meeting → decisions → owned tasks

Use when the transcript is long but the deliverable is a clean decision log and action list with owners.

PREPTranscript + meeting contextEXTRACTDecision · action · owner · deadlineCHECKReconcile against transcriptHANDOFFTask list into project tooling
02

Research → source set → claim table → memo

Use when you need speed but must keep traceability, scope and contradictions visible.

PREPQuestion + source criteriaCOLLECTSources → notes → claim tableCHECKSource · scope · contradictionHANDOFFMemo with citations
03

Research → angle → draft → fact check

For marketers and creators who want AI speed without turning the output into generic copy.

PREPBrief + audience + outcomeDRAFTResearch → angle → outline → copyCHECKFact · source · voiceHANDOFFDraft ready for editing
04

Issue → patch → tests → diff review

Use an AI coding agent inside an engineering loop with checks instead of merging generated code directly.

PREPIssue + repo context + acceptancePATCHRead → change → run testsCHECKDiff · regression · edge casesHANDOFFChange set with test evidence