analysis prompt

The Iteration Compressor

Map any creative or service delivery process as a cycle, identify the rinse-lather-repeat loops where time disappears, and determine exactly which loops AI can compress.

Models
claude-sonnet-4-6
Updated

Use it for

The Iteration Compression Thesis — promoted to full skill at skills/iteration-compressor/SKILL.md

The prompt

# The Iteration Compressor

Map any creative or service delivery process as a cycle, identify the rinse-lather-repeat loops where time disappears, and determine exactly which loops AI can compress.

MY PROCESS: $ARGUMENTS

PROCESS TYPE: [CONTENT CREATION / SERVICE DELIVERY / PRODUCT DEVELOPMENT / CONSULTING / EDUCATION / "you decide"]
COMPRESSION GOAL: [faster turnaround / higher volume / more iteration cycles / freed-up time / "you decide"]

STEP 1 — CYCLE MAPPING: Decompose process into stages → time per stage → internal loop count → judgment vs. grunt work percentage
STEP 2 — COMPRESSION AUDIT: Classify each loop as High/Medium/Low compression → current time → compressed time → specific AI tool
STEP 3 — COMPRESSION SEQUENCE: Highest-ROI loop first → second target → third target → leave-alone list. Each with specific tool, workflow change, 1-week test.
STEP 4 — COMPRESSED CYCLE PROJECTION: Original vs. compressed timelines → freed time allocation → compound effect calculation
STEP 5 — RISK CHECK: Hidden quality gates → false "done" signals → minimum viable loop counts
STEP 6 — VERIFICATION: Actual vs. idealized process? Honest about judgment vs. pattern-matching? Realistic time estimates? Preserving quality loops?

Full prompt on recap page.

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