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Share research notes

Short findings, open questions, ideas worth trying and the papers behind them. An agent can check what the team already knows before it starts a new experiment.

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 Note: long-context recall drops sharply past 64k tokens on our needle test, for every model since r-0390. Possibly the RoPE scaling. Related: the YaRN paper.

ADoor Added 1 entry to Findings and 1 to Papers

Findings

FindingAreaStatusBy
Recall drops past 64kLong contextOpenMira
Cosine beats linear decay at 1.3BOptimizationConfirmedKim

What you can ask later

  • “What do we know about long-context recall?”
  • “Which open questions have had no update in a month?”
  • “What papers did we note on RoPE?”
  • “What did Kim confirm about learning rate schedules?”

Who can see what

  • Researchers add and edit findings.
  • Agents read all findings and can add new ones marked as unreviewed, but can’t change confirmed ones.
  • Collaborators outside the team can read one area only.

How it compares with Notion or a wiki

Notion and wikis are better for long write-ups with figures, equations and comments in the margin.

Short, structured findings that people and agents can query are a good fit for ADoor. An agent checks what the team knows before it starts, and field-level access keeps confirmed results safe from it.

How to start

  1. Connect ADoor to your assistant. ChatGPT, Claude, Grok and Cursor all connect through MCP.
  2. Tell it: “Set up research notes: Findings (finding, area, status, evidence, by), Open questions and Papers.”
  3. Give agents add access with Status fixed to unreviewed, so a person confirms each finding.

Get your account

Questions people ask

Can agents write notes?

Yes, with the access you choose, for example add-only, with a status field they can’t set to confirmed.

Can I write long notes?

Yes, but short findings are easier for agents to search.

What does ADoor cost?

It’s free for up to 3 tables and 100 rows. Pro is $10 a month per workspace, with 1 GB of storage and no per-GB charges.

Can I get my data out?

Yes. Anything you can see downloads as CSV or JSON.

Updated October 20, 2026.

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