A hypothesis is not a verdict. Point Looper at the growth-strategy objective. It applies the configured deterministic decision rule, respects metric thresholds and guardrails, and records scale, modify, stop, or collect-more-data. The AI may explain the result. It must not override the rule.
Pro is $19/mo for 10 loops. Two free loops, no card, if you want to try first.
A solo operator can narrate why the channel should keep going. Morning still needs a governing scale, modify, stop, or collect-more-data call. Looper is the loop that applies the rule you already configured.
The decision rule sits in a doc. The next experiment ships because last week's story was persuasive, not because the rule fired.
Metric thresholds exist, then get talked past. The supervisor should apply them, not invent a better-sounding override.
A growth hypothesis can look green while a quality guardrail is already breached. Guardrails are not optional color on a chart.
Without scale, modify, stop, or collect-more-data, the next week follows habit, not the linked business objective.
Same cycle every run. You set the schedule. Looper treats the decision rule, thresholds, and guardrails as three different facts.
Read the linked business objective, configured decision rule, metric thresholds, and guardrails.
Apply the deterministic rule to the latest observations. The AI may explain the result. It must not override breaches.
Record a governing scale, modify, stop, or collect-more-data decision. Do not invent missing numbers.
Confirm the decision is auditable against the rule and thresholds, or leave the remaining gap for the next pass.
Real numbers only. No card on free. Checkout can wait — start from the dashboard.
2 loops. No card.
10 loops. The overnight default.
When more people share the loops.
When the org outgrows a small set of loops.
Pro is $19/mo for 10 loops. Wake up knowing whether the hypothesis should scale, change, stop, or wait for more data.
Get Pro · $19/mo