Prompt

Need a prompt registry with comments and approvals

Artificial Intelligence / MLOps1 observationLast seen Oct 21, 2026

Latest observation

Oct 21, 2026OpenAI APIWeb search: off

Here’s a practical prompt registry template you can use, with comments, versioning, and approvals built in.


Prompt Registry

1) Registry Purpose

A central place to store, review, approve, and track prompts used by your team.


2) Recommended Fields

FieldDescription
Prompt IDUnique identifier
Prompt NameHuman-readable name
OwnerPerson responsible for the prompt
PurposeWhat the prompt is for
Prompt TextFull prompt content
Model / Use CaseWhich model or workflow it’s for
StatusDraft / In Review / Approved / Deprecated
VersionVersion number
Created DateWhen it was added
Last UpdatedLast modification date
CommentsReviewer notes / feedback
Approval StatusPending / Approved / Rejected
Approved ByApprover name
Approved DateApproval timestamp

3) Example Registry Table

Prompt IDPrompt NameOwnerPurposeVersionStatusCommentsApproval StatusApproved ByApproved Date
PR-001Support Reply DraftAlexDraft customer support repliesv1.0ApprovedNeeds tone check for edge casesApprovedJamie2026-10-20
PR-002Sales OutreachPriyaGenerate outbound sales emailsv0.9In ReviewAdd compliance disclaimerPending

4) Suggested Workflow

Draft

  • Prompt author creates or edits the prompt
  • Add purpose, intended use, and version

Review

  • Reviewer leaves comments directly in the registry
  • Questions:
    • Is the prompt clear?
    • Does it produce consistent output?
    • Any policy/compliance concerns?
    • Are examples needed?

Approval

  • Approver marks:
    • Approved
    • Rejected
    • Needs changes
  • Record approver name and date

Publish

  • Move approved prompt into active use
  • Lock or archive prior versions

5) Comment Format

Use a structured comment format to keep reviews consistent:

Comment fields

  • Comment ID
  • Prompt ID
  • Reviewer
  • Comment
  • Severity: Low / Medium / High
  • Resolution: Open / Resolved / Won’t Fix
  • Date

Example

Comment IDPrompt IDReviewerCommentSeverityResolutionDate
C-001PR-001JamieAdd an example for refund requestsMediumResolved2026-10-20
C-002PR-002TaylorRemove phrasing that may violate policyHighOpen2026-10-21

6) Approval Template

You can attach this to each prompt record:

Approval Record

  • Prompt ID:
  • Version:
  • Reviewed By:
  • Approval Decision:
  • Notes:
  • Approved By:
  • Approval Date:

7) Simple Google Sheets / Airtable Structure

If you want this in Sheets or Airtable, use tabs like:

  1. Prompts
  2. Comments
  3. Approvals
  4. Versions
  5. Archive

8) JSON Example

If you want a machine-readable registry:

{
  "prompt_id": "PR-001",
  "name": "Support Reply Draft",
  "owner": "Alex",
  "purpose": "Draft customer support replies",
  "version": "1.0",
  "status": "Approved",
  "prompt_text": "You are a support assistant...",
  "comments": [
    {
      "comment_id": "C-001",
      "reviewer": "Jamie",
      "comment": "Add an example for refund requests",
      "severity": "Medium",
      "resolution": "Resolved",
      "date": "2026-10-20"
    }
  ],
  "approval": {
    "decision": "Approved",
    "approved_by": "Jamie",
    "approved_date": "2026-10-20"
  }
}

If you want, I can also create this as:

  1. a Google Sheets template,
  2. an Airtable base structure, or
  3. a Markdown/Notion template.

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.

Need a prompt registry with comments and approvals — Obsurfable Explorer