AI Prompt Library Submission Form
Capture a new AI prompt for steward review with the purpose, target model, expected output, and safety notes in one place. Use it to standardize submissions and reduce rework before a prompt is added to the library.
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Overview
The AI Prompt Library Submission Form is a workplace intake form for proposing a new reusable prompt for steward review. It collects the submitter's details, the prompt's purpose, intended users, usage frequency, target model, prompt text, expected output, example input, and safety notes so reviewers can judge whether the prompt is ready for shared use.
Use this template when your organization wants a consistent way to evaluate prompts before they enter a shared library. It works well for teams that need to track who submitted the prompt, what problem it solves, which model it targets, and whether it may involve PII or other sensitive content. The form also supports conditional logic: for example, if PII is included, the reviewer can require details and additional notes.
Do not use this form as a casual brainstorming pad or as a substitute for a full policy review when the prompt will handle regulated data, make employment decisions, or drive customer-facing automation. If the prompt is one-off, experimental, or not intended for reuse, a lighter intake may be enough. The value of this template is that it creates a clear submission record, improves review consistency, and gives the steward enough context to approve, revise, or reject the prompt without extra back-and-forth.
Standards & compliance context
- If the prompt may include PII, the form should support data minimization by collecting only the details needed for steward review.
- Use conditional logic and clear consent language when the submission may contain sensitive business or personal data so the reviewer can assess handling requirements.
- If the prompt will be used in HR, intake, or other employee workflows, add accommodation-aware review notes so accessibility and fairness concerns can be flagged early.
- Keep the form accessible with WCAG 2.1 AA-friendly labels, validation messages, and keyboard navigation so all employees can submit it.
General regulatory context for orientation only — verify current requirements with counsel or the relevant agency before relying on this template for compliance.
What's inside this template
Submitter Information
This section identifies who is submitting the prompt so reviewers can ask follow-up questions and maintain an audit trail.
- Submitter name
-
Work email
Used for review follow-up and approval notifications.
-
Department
Optional. Helps the steward understand the business context.
Prompt Overview
This section explains what the prompt is for, who will use it, and how often it is expected to run.
- Prompt title
-
Purpose
Explain the business problem this prompt solves and the intended outcome.
- Intended users
- Expected usage frequency
Prompt Content
This section captures the exact reusable prompt and the output reviewers should expect from it.
- Target model
-
Prompt text
Paste the exact prompt text to be reviewed and stored in the library.
-
Expected output
Describe the desired response format, tone, and level of detail.
-
Example input
Optional sample input to show how the prompt should be used.
Quality and Safety Review
This section surfaces guardrails, PII concerns, and reviewer notes so the prompt can be assessed for safe reuse.
-
Guardrails or constraints
List any rules, exclusions, or tone requirements the model should follow.
-
Does the prompt or example content include PII?
If yes, ensure only the minimum necessary information is included.
-
PII details
If PII is included, describe what data types are present and why they are necessary.
-
Additional notes for steward review
Include edge cases, known limitations, or related prompts.
Submission Acknowledgment
This section confirms the submitter stands behind the accuracy of the submission and agrees to review handling.
- I confirm this submission is accurate to the best of my knowledge and does not include unnecessary sensitive data.
- I consent to steward review and internal storage of this prompt for library evaluation.
How to use this template
- 1. Add the submitter information fields and make submitter_name and submitter_email required so the steward can follow up on questions.
- 2. Configure the prompt overview section to capture prompt_title, prompt_purpose, intended_users, and usage_frequency with clear field validation and dropdowns where possible.
- 3. Paste the exact prompt into prompt_text, then add expected_output and example_input so reviewers can compare the intended input and output shape.
- 4. Use conditional logic in the quality and safety review section to show pii_details only when pii_included is selected and to prompt for guardrails and review_notes.
- 5. Include an acknowledgment step that confirms the submitter understands the prompt will be reviewed and that the information provided is accurate before submission.
- 6. Route completed submissions to the prompt steward or review queue and record the outcome in an audit trail for future reuse decisions.
Best practices
- Keep the prompt_text field as the source of truth by requiring the exact reusable prompt, not a paraphrase.
- Use progressive disclosure so pii_details appears only when pii_included is checked, which keeps the form shorter and reduces unnecessary data collection.
- Mark only the fields needed for review as required and leave optional fields optional to follow data minimization principles.
- Ask for expected_output in a structured way, such as bullets or a short template, so reviewers can see the desired format at a glance.
- Require an example_input when the prompt depends on specific source material, because it helps the steward test whether the prompt is reusable.
- Add validation for email, dropdowns for department and target_model, and multi-line text only where free-form explanation is actually needed.
- Include a clear note about what happens after submission so the submitter knows whether the prompt will be reviewed, revised, or queued for approval.
What this template typically catches
Issues teams running this template most often surface in practice:
Common use cases
Frequently asked questions
What is this form used for?
This form is used to submit a new AI prompt for steward review before it is added to a shared prompt library. It captures the prompt's purpose, intended users, target model, expected output, and any safety or PII concerns. That gives reviewers enough context to assess quality, reuse potential, and risk without chasing down missing details.
Who should fill out the submission form?
The person who created the prompt should usually complete it, or a team member who can accurately describe how it is meant to be used. In some organizations, a manager, operations lead, or prompt steward may submit on behalf of a team. The key is that the submitter can explain the prompt text, the expected output, and any guardrails that apply.
How often should prompts be submitted through this form?
Use it whenever a prompt is new, materially changed, or being proposed for shared reuse. It also helps when a prompt is being adapted for a different model, department, or workflow. If the prompt is only being used privately and not entering the library, you may not need the full review path.
What should I include in the prompt text and expected output fields?
Include the exact prompt text that will be reused, not a summary of it. In expected output, describe the format, tone, length, and any required sections so reviewers know what good output looks like. If the prompt depends on a sample input, add an example input that shows the intended use case.
How does this form handle PII or sensitive data?
The form includes fields for indicating whether PII is involved and for describing what kind of data may appear in the prompt or output. That supports data minimization by making reviewers check whether the prompt really needs personal data at all. If PII is included, the submission should explain why it is necessary and what safeguards apply.
What are the most common mistakes when submitting a prompt?
Common mistakes include leaving the purpose too vague, omitting the target model, and describing the expected output in general terms instead of showing the actual shape of the result. Another frequent issue is not flagging guardrails or PII exposure, which slows review. Submissions also suffer when the example input does not match the real use case.
Can this form be customized for different teams or models?
Yes. You can add department-specific fields, model-specific validation, or conditional logic for workflows that need extra review steps. For example, a legal or HR team may need stricter guardrails, while a marketing team may want fields for tone, channel, or brand voice. Keep the form focused on what reviewers actually need to approve reuse.
How does this compare with collecting prompts in chat or email?
Ad hoc collection in chat or email usually loses context, makes review inconsistent, and creates no reliable audit trail. A structured form standardizes the fields reviewers need and makes it easier to compare prompts across teams. It also reduces back-and-forth because the submitter has to provide the core details up front.
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