An AI coworker with its own computer
Compare Q3 loan volumes with last year and draft a board summary.
- Query the data warehouse
- Analyze and chart the trend
- Write the board summary
In short
AI Coworker is a ready-to-use agent that plans, searches, browses, writes code and produces files in its own cloud sandbox. It connects to your apps, runs on a schedule and works alongside your team in Slack, Microsoft Teams and Telegram, not just on the web. Teams use it for research, document work and routine automation without building a workflow first.
What AI Coworker does
- Its own cloud computer
- Every conversation gets an isolated Linux sandbox where the agent runs shell commands, writes files and serves live web previews.
- Connect your apps
- Turn on Google Drive, Gmail, Notion, Slack and database connectors per conversation, personally or for the whole organization.
- A skills library
- Load packaged instructions for a class of task, from official skills or ones your team writes and shares.
- Scheduled tasks
- Have the agent run a prompt daily, weekly or monthly, with files attached, and land the result in a new conversation or a Microsoft Teams chat.
- Memory you can see
- It keeps durable notes about each person across conversations, and people can see and correct what it remembers on a Memory page.
- Subagents for big jobs
- The agent spawns isolated helper agents in parallel for deep research or fan-out work, then folds their results back in.
- Inside your chat apps
- The same agent answers in Slack, Microsoft Teams and Telegram, and in Slack it reads the thread for context and replies with files, not just text.
A sandbox, not just a chat window
Each conversation can get an isolated cloud sandbox, a real Linux machine the agent runs commands on. It installs packages, writes and reads files under its own working directory, generates images and speech, and can start a web server and hand you a live preview link. Close the conversation and come back later: the platform reattaches to the same sandbox, or provisions a fresh one if it expired, while your files stay downloadable from the chat.
- Shell commands, file read and write, and code execution in one sandbox
- Browser automation that can hand control back to you for a login
- Web previews for sites the agent builds, viewable in desktop or mobile width
- Pick the model for each conversation, or talk to your own deployed Apps as custom agents
Build a one-page dashboard of this quarter's claim volumes and share a preview.
To-do list
- Query the claims warehouse
- Aggregate volumes by week
- Build and serve the dashboard
Connectors and skills
Connect Google Drive, Gmail, Notion, Slack, Jira and dozens of other apps with one OAuth consent, then toggle each on or off per conversation. An owner or admin can also connect an app once for the whole organization, so a shared Slack workspace or production database is available to every teammate. Skills work alongside connectors: a Skill is a packaged SKILL.md procedure the agent reads when a task matches, built from your own instructions, imported from GitHub, or added from Dynamiq's official library.
- Personal connections for your own accounts, organization connections for shared ones
- SQL database connectors reach production systems on a private network through an SSH tunnel
- Skills are the same format used by workflow agents, so they carry over
- Register your organization's MCP servers once, and set organization-wide and personal instructions
- Usage analytics show who uses AI Coworker and for which work
Scheduled tasks, and a coworker in your chat apps
A scheduled task runs a prompt on a timer, daily, weekly, monthly or once, and lands each run as its own conversation you can open later. The same agent also works as an AI coworker in Slack, Microsoft Teams and Telegram, wherever your team already talks. In Slack it reads the surrounding thread for context, confirms before anything risky, and returns reports, spreadsheets and decks as native file uploads instead of a wall of text.
- Run history shows every past run with its status and full transcript
- Run a task immediately with Run now, without waiting for its next slot
- In channels the agent uses the organization's shared connections, not yours alone
Coming next
In development now and shipping over the coming weeks. Ask us for early access.
Resume paused work
Pick a long task back up from its last checkpoint instead of starting over.
Built in, no setup
- Browser
- Web search
- Image generation
- Text to speech (ElevenLabs v3)
Where teams use it
- Back-office and finance operationsReconcile accounts, clear payment exceptions, prepare dispute cases and draft reports across the systems you already run, with approval before anything commits.
- Research and knowledge assistantsAnswer questions across your documents and systems, grounded in retrieval that respects who can see what, with citations back to the source.
Works with
- Agent BuilderDesign an agent on a visual canvas or in the open-source Python SDK. Both compile to the same engine, so what you build ships either way.
- IntegrationsConnect a workflow to 2,100+ app integrations, or point it at your own databases, warehouses and MCP servers.
- Apps and deploymentsDeploy a saved workflow version as an App with its own hostname. Call it over HTTP, embed a chat widget, or trigger it on a schedule or an event.
Questions and answers
Is AI Coworker the same as a workflow agent?
No. AI Coworker is ready to use: you talk to it directly, and its tools and cloud sandbox are built in. A workflow agent is one you design yourself in Agent Builder, with your own tools, knowledge and guardrails, then deploy as an App. The Custom Agents tab lets you talk to any deployed App from the same window.
Can I use AI Coworker from Slack, Microsoft Teams or Telegram?
Yes. The same agent that works on the web also works inside Slack, Microsoft Teams and Telegram, so a teammate can hand it work without leaving the channel they are already in.
Does every conversation get its own computer?
Yes. Each conversation can provision an isolated cloud sandbox where the agent runs shell commands, writes files and can serve a live web preview, separate from every other conversation.
What is the difference between a connector and a skill?
A connector is an OAuth authorization to an app like Gmail or Slack that the agent can call as a tool. A skill is a packaged set of instructions the agent reads when a task matches, such as a house style for a report or a checklist for an audit.
Who can see a shared conversation?
Sharing a conversation publishes a read-only snapshot up to that moment at a public link. Anyone with the link can view the transcript and download its files without a Dynamiq account, and nothing you send afterward is included until you update the snapshot.
See an agent on your own workflow.
Bring a process and its documents. Our engineers will show you how Dynamiq runs it, in your environment or ours.