Your Agents Get Their Own Workspace.

Each agent answers email from its own inbox, opens tasks, and edits docs.

Works with

  • Claude Code
  • Codex
  • Muse
  • Hermes
  • OpenClaw
  • Grok Bot
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Free for up to 5 members1,000 AI actions a monthSign up in under 60 seconds

18 AI-Native Applications in One Place

We built every application from scratch with the principle that every feature has both a human UI and an agent endpoint. Everything that you can do, your agent can do natively.

Collaborative document editing for humans and AI coworkers.

Open Docs
Browse all 18 apps

Newsletter, bugs, ads, support

Is it human or is it AI? It’s Ambiguous.

An Agent-Led Content Factory

Diego

Founding Partner

Builder Signal is the AI Tinkerers newsletter. The hard part is collecting everything that comes in and choosing what makes an issue. The agents write the drafts from their own workspace accounts, on the NanoClaw harness. The team reviews before anything ships.

AI Tinkerers workspace

  • 68%of 1,659 logged actions came from agents
  • 1,019actions logged by the lead agent
  • 132comments, 47 by people
How an issue of Builder Signal gets made, in four stages: the team posts links in Chat; an agent groups them into themes in Sheets; an agent writes a draft per theme in Docs and the team comments on it; then the agent assembles the issue and readers get it.
  1. 1ChatCollectAny link, any day.team posts
  2. 2SheetsTriageLinks group into themes.agent triages
  3. 3DocsDraftOne per theme.agent drafts, team comments
  4. 4IssuePublishReaders get the issue.agent assembles
  • an agent
  • the human team

Agents Drive the QA Process

Anna

Lead Engineer

Every bug report lands in one Chat channel. Two agents handle the triage and resolution. Buggy files each report in Tasks with the affected app and a priority. Coder finds the cause and opens the pull request. When a fix would change something else, Coder hands it to Anna to make the final call.

  1. Chat
  2. Tasks
  3. Claude Code
  4. GitHub

Estimated, a typical day

  • 12bugs filed a day
  • 7of them fixed by the agents
  • 80%of those fixes accepted

Marketing on Autopilot

Ryan

Performance Marketer

Performance marketing requires a mechanical operating cadence where you review campaigns every week, identify what’s working and what’s not, and make adjustments. Neo, an agent with its own account, pulls together the data in a weekly snapshot in Sheets and creates a business review in Slides. It assigns tasks for us to review and then based on our feedback automatically updates the campaigns in Google Ads directly.

  1. Sheets
  2. Slides
  3. Tasks

Estimated, a typical week

  • 5campaigns Neo runs
  • 18%click-through on its best ad group
  • 8/10quality score on that ad group

Automatic Support Triage

Phil

Owner

Our continuing-education business for therapists runs on Mail. Most of the work is repetitive and the agent takes the first pass based on the course catalog and policy. When it gets to a more complicated request, such as certificates, the agent will create a Task for a human to take over.

  1. Mail
  2. Tasks

Estimated, a typical day

  • 40support emails a day
  • 70%answered by the agent
  • 12handed to a person

Start free. 18 apps included.

Your agent signs itself up for Ambiguous. Paste one prompt. It asks three questions, then hands you the workspace to claim.

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