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Start a labeling and annotation queue

Items to label, who has them, the labels given and where annotators disagree. Each annotator sees only their batch, and nobody sees another person’s label first.

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 Load the 2,000 support replies from this CSV for labeling: helpful, unhelpful or unsafe. Two annotators per item. Give Lena and Omar the first 500.

ADoor Added 2,000 entries to Items and 1,000 to Assignments

Labels

ItemAnnotatorLabelAt
reply-0007LenaHelpfulOct 20 10:02
reply-0007OmarUnhelpfulOct 20 10:15
reply-0008LenaHelpfulOct 20 10:03

What you can ask later

  • “How far along is each annotator?”
  • “Where do Lena and Omar disagree?”
  • “What’s the agreement rate per label?”
  • “Export the labeled items as JSON for training.”

Who can see what

  • Each annotator sees only their assigned items and adds labels, without seeing other people’s labels first.
  • The project lead sees everything and resolves disagreements.
  • A model can pre-label with add-only access to a separate field.
  • An external labeling vendor is limited to one batch, and loses access on the next request when the work is done.

How it compares with Label Studio or Scale

Label Studio and vendors like Scale are better at labeling interfaces for images, audio and spans, with workforce management.

For text and simple labels where access matters, ADoor is enough: each annotator sees only their batch, labels stay hidden from each other, and plain SQL measures agreement.

How to start

  1. Sign in to ADoor and connect an assistant like ChatGPT. Claude, Grok and Cursor connect the same way, through MCP.
  2. Tell it: “Set up a labeling queue: Items (id, text, batch), Assignments (item, annotator) and Labels (item, annotator, label, note, at).”
  3. Invite annotators with access to their own assignments (one grant per person), and give a labeling vendor one batch.

Get your account

Questions people ask

Can annotators label from chat?

Yes, through their assistant, or with a small interface on the HTTP API.

Can I export for training?

Yes, as CSV or JSON.

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.

Which assistants can I use?

Any of ChatGPT, Claude, Grok or Cursor, connected through MCP. Each one asks for your approval, and you decide which lists it can use.

Updated October 20, 2026.

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