ADoorYour data account Get your account

Start an experiment tracker

The hypothesis, what changed, the result and whether it held up. Before anyone tries a new warmup schedule, they can ask what the team already learned.

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 Experiment e-31: does adding 10% code data help math evals? Compare r-0412 (with code) against r-0409 (without).

ADoor Added 1 entry to Experiments, linked to both runs

Experiments

ExperimentChangeResultVerdict
e-31+10% code dataGSM8K +2.1, MATH +0.8Keep
e-30Warmup 2k → 500 stepsLoss spike at 1kRevert

What you can ask later

  • “Which changes improved GSM8K by more than a point?”
  • “What have we already tried with warmup?”
  • “Show every experiment where the verdict was revert, and why.”
  • “Compare the configs of the two best runs field by field.”
  • “Chart GSM8K against training tokens for every run in e-31.”

Who can see what

  • Researchers add experiments and verdicts.
  • A planning agent reads all experiments and can propose new ones, but can’t edit verdicts.
  • A collaborator from another team reads one project’s experiments only.

How it compares with Weights & Biases, Neptune or Comet

Weights & Biases, Neptune and Comet lead on automatic logging from your training code, rich comparison dashboards, sweeps and artifact versioning.

The reasoning around experiments belongs in ADoor: what you were testing and what you concluded, compared with plain SQL, with an agent able to check what’s been tried before it suggests something.

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 an experiment tracker: Experiments (id, hypothesis, change, runs, result, verdict, notes), linked to Runs.”
  3. Give a planning agent read access to Experiments and add access, without edit access to Verdict.

Get your account

Questions people ask

Should I still use W&B?

For live metric dashboards, yes. ADoor keeps the record of what you tried and what you concluded.

Can I join experiments with runs?

Yes. Experiments link to runs, and plain SQL joins them.

What does it cost?

Nothing 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 if I want to leave?

Export each list as CSV or JSON and take it with you.

Updated October 20, 2026.

This page as Markdown