Michi Loop

Michi Loop

Run a task as an autonomous, lights-off loop — the agent works unattended, checks its own output against a verifier, and stops on a defined condition — with Michi discipline around it.

This skill is discipline over mechanism. It does not run the loop; Claude Code already ships the runners (/loop, /goal, claude -p, Workflow). What it adds is the judgment the loop-engineering literature skips: have you earned lights-off, what does "done" mean, what checks the work, and when does it stop? You are invoked once, as the designer and launcher of a loop — not its body.

It is the convergent + autonomous lane — the sibling of michi-expedition (emergent + Entrusted-spiral). The boundary between them is the form of verification you can answer (see the Gate).

When to use (and when not)

Use it when the work is convergent (you can state "done when ___"), the verifier is trustworthy (a real check, not the agent's say-so), the blast radius is reversible (a container, a worktree, a branch), and autonomy has been earned (you've watched this kind of work go well Paired).

Don't when the work is exploratory or the end isn't knowable — that's michi-expedition. Don't when you can't answer "done when ___". Don't when the only verifier is human visual judgment with no automatable floor — a loop can't see the screen.

Posture: surface-and-explore, you decide. This skill raises the readiness checks; it does not police them. The human makes the call to launch. For experimental work the agent's value is fail fast — forcing too much up front defeats that. Be aware, not a gatekeeper.

The flow

Gate → Contract → Verifier → Stop → Readiness → Launch → Review. Walk it once, with the human. The first five steps are pre-flight (lights on); Launch hands off to the mechanism (lights off); Review brings the lights back.

1. Gate — should this be a loop at all?

Surface, don't block:

• Earned autonomy. Read Complexity/Uncertainty and prior Paired alignment on this kind of work. High C/U with no prior alignment → not yet.
• "This is done when ___." If you can finish that sentence with measurable criteria, the work is convergent. If you can't, stop — it's an expedition (verify progress, not done) or stays Paired.
• Which verification form can you answer? Convergent ("how do I know I'm done?") → a loop fits. Only progress ("am I making progress, or spinning?") → hand to michi-expedition. The form routes the work. Both forms are the same discipline: care around grading your own homework.

2. Contract — what the loop is bound to

• Goal as a measurable contract — the exit criteria, concretely.
• Allowed actions and constraints — what the loop may touch, and what it must not.
• Isolation / blast radius — where it runs so a bad pass is reversible (container, worktree, branch). Name it explicitly; this is what makes lights-off safe.
• Control surface — how you'll see progress and how you'll interrupt. Lights-off is unattended, not blind or unstoppable: decide the log/monitor you'll check and the halt you'll use before you walk away.

3. Verifier — the check with teeth

The spine of the skill. The loop must be graded by something the agent cannot talk its way past — not its own self-assessment.

• Mechanical authority first: a Stop hook that blocks "done" until checks pass; /goal (a goal Claude checks before stopping); a test / build / lint gate that returns binary pass/fail.
• Independent judgment second: a fresh-context reviewer (a separate agent, denied the builder's context) for what a gate can't assert. Holdout scenarios — verification the builder never sees — are the strongest form; see michi-scenario-test-builder's references/michi-adaptation.md (Pattern 2: Scenarios as Holdout Verification).
• Keep it structurally separate from the generator. Verification governs autonomy — the loop's reach is bounded by what this verifier actually catches.
• Unverifiable = not done. If the environment can't exercise a done-criterion (missing service, queue, browser, fixture), that criterion is an open hole — flag it and fail it. Never let "we couldn't run it" get rationalized into a pass.

4. Stop conditions — non-negotiable

A loop without a stop is a runaway. Define all three (the mandate, borrowed from the expedition lane):

• Iteration ceiling — max passes before a forced halt.
• No-progress detection — halt when passes stop changing anything (spinning).
• Budget / wall-clock cap — a token or time limit that ends it before surprises.

5. Readiness — the shopping list

Make the shopping list, then check you actually have everything before you start cooking. List every dependency needed to build each part and to verify it — services, env vars, tools (browser, test runners), fixtures, queues/workers, auth, network reach — and confirm each is present and reachable in the target environment.

The bar is higher than a Paired session: there is no human mid-loop to notice a missing ingredient. In Paired/Entrusted the human silently supplies this — spots the gap, answers the question, stops the run. Lights-off removes them, so the pre-check has to be exhaustive and explicit.

Walk each done-criterion and ask: can this environment actually exercise it? If not, that criterion is an unverifiable hole — surface it now (drop it, fix the environment, or hand that piece to Paired); never let the loop "pass" it blind. (Worked example: a "save all tabs → drawer" criterion needing a message queue + worker the container didn't have — unrunnable, so it shipped broken-but-"passed.")

Put the runner on the shopping list too: can the runner you'll propose actually exercise every verifier gate? (A claude -p worker fork can't spawn subagents — so it can't run a fresh-context-reviewer gate; /goal's evaluator reads the transcript, not the filesystem.) A gate the runner can't run is an unverifiable hole — match the gates to the runner, or change the runner.

6. Launch & supervise — hand off, watch, keep the off-switch

The runner is the human's call — present it and get a go before you launch. Do not jump ahead. The runner sets who enforces the gate, so it is not the launcher's silent decision: /goal has the harness re-check the end-state before it can stop; a claude -p fork has the agent self-enforce its own stop/verify (a weaker gate). Default to /goal (harness-enforced is safest) — but still surface the choice and this tradeoff, and confirm with the human before firing.

The menu (default first; don't build a runner):

• /goal (default) — a persistent end-state the harness re-checks before allowing a stop; pair with /loop for recurring cycles. Harness-enforced.
• claude -p (headless) from a script — the truest unattended path, but the agent self-enforces stop/verify (mitigate with binary gates + an independent reviewer).
• Workflow — deterministic orchestration with built-in budget/iteration stops + verify gates, for multi-step / fan-out loops.
• /loop until: <condition> — recurring cycles until a stop condition.

The loop body runs under Michi discipline — not raw. Lights-off is not discipline-off; the toolkit is why the autonomy is safe. Wire it into the /goal condition / launch prompt: each iteration runs the michi-session core loop (implement → verify), uses TDD where it fits, runs verification and reads the actual output before claiming any criterion met, and debugs failures systematically — root cause, not symptom-patching. A loop that just codes until the evaluator says "yes" has thrown away the discipline it exists to carry.

Launch into the isolated environment from the Contract. Then keep two controls live — the Contract's control surface, enacted:

• See progress — a log or monitor you can check without interrupting the run: /loop job status, Workflow live progress (/workflows, TaskOutput), a tailed log file, or whatever monitoring stream the environment provides.
• Interrupt — a known, clean halt: stop the /loop or scheduled job, TaskStop a Workflow, or kill the headless process. The isolation is what makes an abrupt halt safe.

Watch the first runs. Reuse, don't reinvent: the bundled verify skill and quality-gate loop patterns exist.

7. Review — lights back on

A loop ends one of exactly two ways. Both hand back to the human:

• Verified done — the verifier confirms the exit criteria. Convergent verification passed.
• Abort — it hit a wall: a stop condition fired, or progress stalled (spinning, dead end). It cannot get there from here.

Then: review the result against the contract, capture what was learned, and spiral — the transcript is how this skill, and your trust in lights-off, improves. The review reads both forms: convergent (did it meet the criteria?) and progress (did it advance, or churn?).

Close with /michi-debrief — a short debrief is usually enough — so learnings, scenario updates, and trust calibration land in their long-lived homes rather than dying with the run.

Pitfalls

• Theater — a toy target proves nothing. Conclusions need a real target.
• Self-grading verifier — if the agent decides its own "done," there is no gate. Give it teeth.
• No stop conditions — the fastest path to a runaway bill and an 18-hour spin.
• Launching before earning autonomy — lights-off is earned by watched alignment, not assumed.
• Policing the gate — surface the checks; the human decides. Don't block fail-fast experimentation.
• Blind or unstoppable — lights-off is not no-eyes-and-no-off-switch. If you can't see progress or can't halt the run, don't launch.
• Discipline-off — running the loop as raw code-until-the-evaluator-says-yes drops the very scaffolding (sessions, TDD, verification-before-completion) that makes autonomy safe. The loop carries the toolkit.
• Passing the unverifiable — a criterion the environment can't exercise is a hole, not a pass. The shopping list (step 5) is what catches it before launch.
• Launching on the agent's say-so — the runner choice and the go-ahead are the human's; the runner sets who enforces the gate. Default /goal, but confirm before firing — don't jump ahead.