// library · pillar 04
Workflows & iteration
Multi-step work, orchestration, refining to a result.
13 modules
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2026·09·29 What survives the move 2026·09·14 "How did I do?" is not feedback 2026·09·08 Give it a way out 2026·08·26 It worked when you watched it: what a single success actually buys 2026·08·17 Write the bad first draft yourself 2026·08·11 When your AI chat gets lost, don't patch it — restart it clean 2026·07·16 Read the why, not just the fix: using AI's formula repair as a free lesson 2026·07·13 The pre-mortem: assume the plan already failed, then ask why 2026·07·01 The handoff note: let the outgoing session write it for you 2026·06·29 Convene a Panel: Using Multiple AI Personas to Stress-Test a Decision 2026·06·17 Briefing a Deep Research Agent: How to Get a 20-Source Report Worth Reading 2026·06·08 The generate-critique-refine loop: stop accepting first drafts 2026·06·08 Plan first, execute second: the 80/20 rule for letting AI tackle big tasks