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Track GPU and compute spend

GPU hours by cluster, project and run, what they cost and how much budget is left. A scheduling agent can check the budget before it launches more GPUs.

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 Import this month's cloud bill export, and match the GPU lines to runs by tag.

ADoor Added 1,284 entries to Compute usage

Compute usage

ProjectGPU hoursCostBudget left
Pretraining 1.3B18,40041,2008,800
Evals1,1502,6002,400

What you can ask later

  • “Which project is closest to its budget?”
  • “What did run r-0412 cost in total?”
  • “Which runs cost more than 5,000 last month?”
  • “Which team’s spend grew most this quarter?”
  • “Chart GPU spend per week by project for the last quarter.”

Who can see what

  • Finance reads everything and edits budgets.
  • Each team reads its own usage.
  • An import script writes usage through the HTTP API.
  • A scheduling agent reads budgets before it launches a run.

How it compares with your cloud’s cost tools

Your cloud’s cost tools, or a platform like Vantage, pull billing data automatically, with recommendations and anomaly alerts.

Tying spend to your own runs and projects is where ADoor helps. Join usage to the training log with plain SQL, and let an agent check the budget before it starts a run.

How to start

  1. Connect ADoor to your assistant. ChatGPT, Claude, Grok and Cursor all connect through MCP.
  2. Tell it: “Set up compute spend: Compute usage (date, cluster, project, run, GPU hours, cost) and Budgets (project, period, amount).”
  3. Give each team read access to its own usage, and finance edit access to budgets.

Get your account

Questions people ask

Does it pull my cloud bill automatically?

No. Import exports as CSV, or post them from a script through the HTTP API.

Can I join spend to runs?

Yes, with plain SQL across both lists.

Is ADoor free?

Yes. The free plan 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 work with ADoor?

ChatGPT, Claude, Grok and Cursor connect through MCP. You sign in once per assistant, approve it, and choose what it can reach.

Updated October 20, 2026.

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