AI Prompts for Verification and Goal Loops
Top-rated AI prompts for Verification and Goal Loops. Copy any prompt and get instant results.
Your complete step-by-step AI guide for Verification and Goal Loops. Copy, paste, and get results.
AI Prompts for Verification and Goal Loops
Top-rated AI prompts for Verification and Goal Loops. Copy any prompt and get instant results.
This collection of tested AI prompts for Verification and Goal Loops covers write stop conditions, and more. Each prompt is copy-paste ready and free to use. Copy any prompt, add your specifics, and get professional Verification and Goal Loops results in seconds.
Stage 1
Write Stop Conditions
A /goal with a vague stop condition never stops, or stops at the wrong place. Good stop conditions are programmatically verifiable: a command exits 0, a file contains a specific string, a count reaches a threshold. These prompts help you write stop conditions that cannot be gamed.
Write a test-based stop condition
Write a /goal command for [YOUR_PROJECT] that stops when all tests in [MODULE_NAME] pass and coverage is above [THRESHOLD]%. The stop condition must be verifiable by running a single command. Write: the /goal command, the check command the agent runs after each iteration, the maximum number of iterations before the loop gives up, and the failure message format when the limit is reached.
Write a code quality stop condition
Write a /goal command for [YOUR_PROJECT] that stops when: TypeScript strict mode is enabled, there are zero type errors in [MODULE_OR_FILE], and the ESLint error count is zero. Write the /goal prompt, the multi-step check command sequence, and the iteration strategy: which issue to fix first each run so the loop makes measurable progress without getting stuck in circular dependencies.
Write a feature completion stop condition
I want a /goal that stops when [FEATURE NAME] is working end to end. The feature is: [DESCRIBE THE FEATURE]. Write a verifiable stop condition in terms of: the API endpoint that must return a 200, the database record that must exist after a test run, the front-end component that must render without error, and the integration test that validates the full flow. Write the /goal command and the check script.
Write a migration stop condition
I am running a loop that migrates [YOUR_PROJECT] from [OLD APPROACH] to [NEW APPROACH]. Write the /goal stop condition for this migration. The condition should be: all files using the old pattern have been updated, the old pattern no longer appears anywhere in the codebase (verifiable by a grep that exits 0 when no matches are found), and the full test suite still passes. Write the /goal command and the verification sequence.
Design a tiered stop condition
Write a tiered /goal for [YOUR_PROJECT] with three levels of done: Level 1 (MVP): [CONDITION 1]; Level 2 (complete): [CONDITION 2]; Level 3 (polished): [CONDITION 3]. The loop should aim for Level 1 first, commit and tag it, then continue to Level 2, and so on. Write the full /goal prompt that implements this tiered approach with a commit at each level.
Frequently asked questions
What is a /goal command in Claude Code?+
A /goal command defines a terminal condition for the loop: the exact state the codebase must reach before the loop stops. The agent checks the condition programmatically after each iteration, typically by running a shell command that exits 0 when the condition is met. Unlike a prompt that says "fix the tests," a /goal command with "all tests pass and coverage is above 80%" gives the agent a concrete, measurable finish line.
What makes a good stop condition for an agent loop?+
A good stop condition is programmatically checkable with a single command that returns pass or fail. "All TypeScript errors are resolved" is a good condition because tsc exits 0 when it is true. "The code looks clean" is not a good condition because there is no command to verify it. The best conditions combine multiple verifiable checks: tests pass, errors are zero, and a specific file or endpoint exists.
How do I verify that an agent loop did not break anything?+
Run your full test suite as the last step of every iteration, before marking a task done or committing. The verification agent in Stage 2 of this guide is specifically designed for this: it checks tests in the affected module, confirms no new lint errors were introduced, and verifies the change stayed within its stated scope. If any check fails, it writes a failure report rather than marking the task complete.
What happens if the loop never reaches its stop condition?+
Set a maximum iteration count in every /goal command. After that limit, the loop should stop, update the state file with a timeout note, and optionally alert you. A loop that runs indefinitely without verifying progress is a loop burning compute on a stuck problem. The iteration limit is a safety valve, not an admission of failure. Review the failure log and adjust the stop condition or task scope before re-running.
Should I use the same AI model for implementation and verification?+
Using a different model for verification adds genuine independence. If the implementation model rationalized a flawed solution, the verification model is less likely to rationalize the same error. In practice, even using the same model with a completely different system prompt adds meaningful independence. The key is that the verifier receives only the output and the spec, never the reasoning the implementer used.
Other prompt packages you might like
AI Prompts for Loop Engineering
Loop engineering is what happens when you stop prompting the coding agent yourself and design the system that prompts it instead.
See prompts
AI Prompts for Sub-agent Orchestration
The most reliable pattern in loop engineering is keeping the agent that builds separate from the agent that checks.
See promptsAI Prompts for Automated Code Review Loop
Code review is the most natural fit for an agent loop: it is repetitive, rule-based, and time-consuming.
See prompts