What is an AI loop?
On PromptHelp, an AI Loop is a repeatable workflow with a goal, a trigger, a sequence of steps, a check and a stopping condition. The workflow can repeat a step when the result needs improvement. A clear boundary tells you when to finish or hand the work to a person.
A prompt usually gives one set of instructions. A loop describes how several actions fit together: gather inputs, create a draft, check it, revise it and approve the result. The directory provides workflow instructions; using a loop still requires you or your connected tools to carry out those steps.
The six parts to define
- Goal: the result you want to produce.
- Trigger: the event or approved input that starts the work.
- Steps: the actions in order.
- Verification: the checks a result must pass.
- Stop condition: when to finish, pause or escalate.
- Human approval: the decisions a person must make.
Example: a weekly content-planning loop
Imagine a small business preparing three posts for the coming week. It has an approved offer, a list of topics, brand guidance and one person responsible for publishing.
GOAL
Prepare three accurate, useful social posts for the week.
TRIGGER
The owner approves the weekly brief and supplies the offer details.
STEPS
1. Summarize the audience and weekly goal.
2. Suggest three distinct post ideas.
3. Draft the captions using only the approved facts.
4. Check the offer, tone, channel and call to action.
5. Revise any draft that fails a check.
6. Send the complete set to the owner for review.
VERIFICATION
Every offer detail matches the brief. Each post has a clear purpose.
STOP CONDITION
The owner approves the set, or two revision rounds have been used.
HUMAN APPROVAL
The owner approves every post before publication.What happens when a check fails?
Return to the specific step that needs correction. If a caption invents an opening time, supply the correct fact and revise that caption. If the brief itself is incomplete, pause for the missing information instead of repeating the same drafting step.
The revision limit matters. Without a limit, a workflow can keep making changes without resolving the underlying problem. Choose a small repair budget and define who decides the next action when it is exhausted.
Start with a manual run
Walk through the loop once before automating it. Record the inputs, where you had to intervene, which checks caught a problem and how long review took. Adjust the instructions around those actual observations.
Keep approval before any external action that requires a person’s judgment, such as publishing a campaign or contacting a customer. An AI draft can help prepare the work; your workflow should identify who owns the final decision.
Choose a loop for your task
Browse our AI Loops directory for examples. The Research-to-Published Content Loop shows an editorial sequence, while the Build-Test-Repair Code Loop describes a bounded development cycle.