Course Four: The Closed Loop
Episode 4, made runnable. You built a workflow, a context brain, and a signal library with an empty performance column. Close the loop: feed the outcomes back so the system gets smarter every week, instead of running once and forgetting.
DIRECTIONS
- 1Run the funnel metrics
Pin the metrics and definitions everyone trusts, so the loop runs on real numbers.
COOK WITH A FUNNEL METRICS · OURS: funnel-metrics · OR YOUR OWN
MEDIA · STEP 1 SCREENSHOTWhat this step's output looks like - 2Run the pattern analyst
Feed outcomes back: which signals actually paid, and what your wins, losses, and churn share.
COOK WITH A PATTERN ANALYST · OURS: pattern-analyst · OR YOUR OWN
MEDIA · STEP 2 SCREENSHOTWhat this step's output looks like - 3Run the qa agent
Watch the system for drift and blind spots, with a weekly digest.
COOK WITH A QA AGENT · OURS: qa-agent · OR YOUR OWN
MEDIA · STEP 3 SCREENSHOTWhat this step's output looks like - 4Run the evolution agent
Let the system propose changes to your ICP, scoring, and skills. You approve, nothing self-edits.
COOK WITH AN EVOLUTION AGENT · OURS: evolution-agent · OR YOUR OWN
MEDIA · STEP 4 SCREENSHOTWhat this step's output looks like
THE FINISHED DISH · WHAT YOU SERVE
Numbers everyone trusts, outcomes fed back into your ICP and signal library, a QA layer watching for drift, and a system that proposes its own improvements for you to approve.
GO DEEPER · The full playbook page carries the guide, the proof build, and the receipts. Read it.