AI Agent Loop Readiness Doctor
Audit an existing loop or build one from a checklist. Confirm every detected rule, see task-specific blockers, and export a corrected workflow without uploading your prompt.
Use this before running a Claude Code, Codex, Cursor, GitHub Actions, Generic Agent, or Ralph-style loop. Learn why weak validators invite metric gaming or turn a ready task into a copyable workflow with the loop goal generator.
Audit an existing loop or build from a checklist
Select the task and target tool first. The same confirmed rules receive different weights when the risk profile changes.
Ready for a local audit.
How the audit works
1. Choose context
Select a task type and target Agent tool so the audit can apply the correct risk weights.
2. Analyze locally
Paste a workflow or answer the checklist. Deterministic rules inspect only the text in your browser.
3. Confirm candidates
Review the exact matched text and correct every Yes, Partial, or No result before scoring.
4. Export a correction
Compare before and after, then copy or download a target-specific workflow and audit report.
Task-weighted readiness criteria
The same eleven dimensions always total 100 points, but their weights change by task. Every result remains visible and editable.
Hypothesis
A testable hypothesis turns the first run into evidence instead of activity.
Smallest useful run
A small first run exposes bad assumptions before they become expensive.
Goal clarity
Agents need an outcome they can finish, not an open-ended instruction to keep working.
Validation
Validation separates completed work from plausible-looking output.
Independent checker
The worker should not be the only judge of its own output.
Boundaries
Explicit boundaries prevent the loop from satisfying a metric through unsafe shortcuts.
Stop condition
A loop without a hard stop can repeat the same unproductive action indefinitely.
Budget and iteration cap
A budget makes the worst case visible before the loop starts.
Rollback or fallback
A fallback preserves evidence and gives a human a safe decision point.
Sandbox isolation
Isolation contains mistakes and makes cleanup or comparison easier.
Human approval gate
Human approval belongs immediately before high-impact actions, not after they happen.
Privacy and interpretation limits
Pasted workflows are processed locally in your browser. They are not sent to analytics, logs, URLs, error monitoring, a repository, or an AI provider. Detection is based on explainable patterns and can miss implied rules or misunderstand ambiguous language. This tool is not a safety certification, security review, or production guarantee.
Loop Readiness Doctor FAQ
No. The MVP uses deterministic browser-side rules and shows every matched text candidate for you to confirm. It does not call an external AI API.