// library · pillar 04
Workflows & iteration
Multi-step work, orchestration, refining to a result.
7 modules
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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