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Keep a prompt library for Claude, ChatGPT and Cursor

Each prompt, every version, the model it’s for, how it scored and who changed it. Your app reads the live version with a key that can’t write.

Use cases All use cases

For builders

How to connect ChatGPT and Claude to the same data How to give an AI agent safe, scoped access to data A database for vibe-coded apps, with access built in

AI and engineering

Keep a daily work log Keep a prompt library for Claude, ChatGPT and Cursor Let agents build on each other’s findings Run a task queue for your agents Share agent traces across a team Share research notes Track eval results over time Start an experiment tracker Keep a model training log Keep feature flags and config agents can read Keep bug reproductions and test cases Record deploy and release history Keep an inventory of API keys and services Start a dataset registry Collect standup notes from assistants Keep an incident log Log benchmarks and latency measurements Track GPU and compute spend Start a labeling and annotation queue

Personal

Keep a side-project idea backlog Start a habit tracker Start a reading log Track what you’re learning Track subscriptions Start a budget tracker Start a movie and TV tracker Start a home inventory Keep a plant care log Keep a car maintenance log Plan your travel Keep a tasting journal Track a collection Keep notes on the people you know Track job applications Keep a vocabulary list Track important documents Keep a food log Start a training log Keep a log of your own numbers Keep a schedule of what is due and when to refill Start a recipe collection Keep a list of things to buy Share a pet care log Keep a daily journal Keep gift ideas and birthdays

Business

Track consulting time Track freelance clients and invoices Track fundraising Start a lightweight issue tracker Back an internal tool Store a customer-facing app’s data Plan a content calendar Collect customer feedback and feature requests Manage event attendees and sponsors Report from many sources Start a customer list Track sales deals Keep a customer support log Track hiring Start an employee directory and onboarding checklist Track inventory Track orders and suppliers Start an asset and equipment register Track partners and resellers Track contracts and renewal dates Keep a price list and build quotes

Collaborative

Split expenses Share a research reading list Plan an open-source project roadmap Build a shared world-building bible Plan a house renovation Start a shared household list Share a household chores rota Keep a family schedule Track kids’ activities Plan a trip with friends Plan a wedding or party Run a book club Run a sports team or club Run volunteer and community sign-ups Run a student group project Start a neighborhood tool-lending list Share a weekly meal plan Write babysitter and caregiver handover notes Plan a shift schedule Plan a carpool rota Share a packing list Coordinate help for a parent

An example

@ADoor Save v4 of the support-reply prompt: added "never promise refunds" and moved the tone guidance first. Scored 8.6 on our rubric vs 8.1 for v3.

ADoor Added 1 entry to Prompt versions

Prompt versions

PromptVersionModelScore
support-replyv4gpt-58.6
support-replyv3gpt-58.1

What you can ask later

  • “What’s the current version of support-reply, and what changed from v3?”
  • “Which prompts haven’t been evaluated on the new model?”
  • “Who changed the summarizer prompt last?”
  • “Show the best-scoring version of each prompt.”

Who can see what

  • Prompt owners add versions and mark one as live.
  • Your app reads live versions with an API key that can’t write.
  • Agents can propose a new version as a draft, which a person approves.
  • The history keeps recent changes with the before and after.

How it compares with LangSmith or PromptLayer

For playgrounds, per-call tracing and evals on every prompt change, LangSmith and PromptLayer are the tools to use.

As a simple, access-controlled source of truth, ADoor works: versions with scores, an app key that only reads, and a history of who changed what.

How to create a prompt library in ChatGPT and Claude

  1. Connect ADoor to ChatGPT and to Claude, choosing the same space.
  2. In either one, ask: “Set up a prompt library: name, prompt, model, version, score and notes.”
  3. Save a prompt from ChatGPT, and use it from Claude or Cursor. Every edit is a new version in the history.

How to start

  1. Sign in to ADoor, then add it to an assistant like ChatGPT, Claude, Grok or Cursor through MCP.
  2. Tell it: “Set up a prompt library: Prompts (name, purpose, owner) and Prompt versions (prompt, version, text, model, score, live, notes).”
  3. Create a read-only key for your app, and let agents add draft versions that a person marks live.

Get your account

Questions people ask

Can my app fetch the live prompt?

Yes, through the HTTP API with a read-only key.

Can I roll back?

Mark an older version as live. The history keeps recent changes too.

Do I have to pay?

Not on the free plan, which holds 3 tables and 100 rows. Pro is $10 a month per workspace, with 1 GB of storage and no per-GB charges.

What happens if I remove someone’s access?

Their next request is refused. What they already saved stays, and the history shows who made each change.

Updated October 20, 2026.

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