wrok Bot · In development · macOS first

Your AI colleague.
Built to work independently.

wrok Bot is an AI employee and digital teammate platform.
We’re building AI colleagues that take work from a goal to a result.

A showcase page + announcementPrepared example · Explore the task
wrok Bot

wrok BotYour AI colleagues, ready to work.

ONE GOAL · A PREPARED WORKFLOW

See the work. Open the result.

Explore the mobile App and desktop workspace with the same sample team and deliverables.

01 / Build your team

Launch team · People and responsibilities

Your lead organizes AI colleagues with clear roles

  • Lead: plan, coordinate and bring the results together
  • Writer: structure, write and review the announcement
  • Developer: build, check and hand back the sample page
02 / Deliver together

Launch package · Page and announcement

The lead delegates; colleagues work and return useful results

  • Showcase page: structure, features and a clear next action
  • Announcement: product value, audience and next steps
  • Review: consistent page and copy; publication is your decision
03 / Working preferences

Working agreement · Sample memory

Confirm how your AI colleague should work with you

  • Lead with the conclusion, then the evidence
  • Scope: this AI teammate
  • Explicitly saved by the user and editable

These examples are readable without JavaScript. Interactive controls appear when the demo is ready. Product development progress

CURRENT SAMPLE GOAL · Build your team

Your lead organizes AI colleagues with clear roles

Set up a product launch team: a writer for the announcement, a developer for the sample page, and a lead to coordinate and bring the results back for my review.

EXPECTED DELIVERABLELaunch team · People and responsibilities

The same goal.
A mobile view of the work.

Follow the lead, the handoffs and the result in the mobile interface. Switch between the conversation and task without starting a different story.

  1. 01
    Give the goalSetting the goal
  2. 02
    Bring in colleagues
  3. 03
    Review the roles
  4. 04
    Team ready

This is a website demonstration using our mobile UI styles. Native sign-in, device pairing and release acceptance remain incomplete.

wrok Bot
Sample data · No live workspace
MY WORKSPACE

Keep work moving.

Sample workspaceA prepared task, not a connected device
YOU · SAMPLE GOAL

Set up a product launch team: a writer for the announcement, a developer for the sample page, and a lead to coordinate and bring the results back for my review.

Mobile UI sample · Tasks / Approvals / Chat

1 / 4

Give the goal · 1 / 4

Prepared examples of independent work, teamwork and deliverables. No model, device or team messaging service is connected; the product is in development. See development progress

Give your AI colleague a goal.
Independent work, visible progressTeamwork, with clear handoffsUseful results, with the evidence
HOW THE PIECES WORK TOGETHER

Colleagues, tools and results.
Connected by one shared goal.

Start with a goal in the workspace, bring in context and tools, then hand the result back to the team. Open a node to see its current scope.

ONE SHARED GOALwrok BotYour AI colleague

AI colleagues

Organize the work around a goal

  • AI teammates & task workspaceIn development

    Channels, teammates, skills, memory and conversation views are implemented. Complete macOS use and accessibility still need acceptance.

ROLES IN THE PREPARED DEMO
Team leadWriterDeveloper

Tools & models

Connect the capabilities a task needs

  • Model sources & toolsIn development

    Custom connections, a persistent catalog and parts of the runtime are implemented. SDK authorization has bounded deliveries; readiness across all three model sources is still open.

  • Browser & native computer useIn development

    Engines, screen transport, control permissions and input have individual implementations. Real use, takeover, stopping and recovery still need complete validation.

  • Automation & background subtasksPlanned

    Planned for a later phase, with no public product execution entry point today.

Context & memory

Keep the working agreement in context

  • User confirmation & explicit memoryIn development

    Confirmation, explicit saving and management have individual implementations. Native authentication and complete product workflows still need combined validation.

Useful deliverables

Bring the work together in a useful result

  • Deliverables & structured outputIn development

    Lists, records and charts have rendering foundations, with bounded artifact-reference integration. Complete persistent storage and recovery have separate acceptance.

This map explains how the product fits together. Node status uses the same capability record as the progress page. In development and planned do not mean released.

Product facts reviewed: · GitHub 83055ce · Read the public progress mirror
01 / INDEPENDENT WORK

Set the goal.
Your AI colleague takes it on.

Give your AI colleague the goal, material and requirements. Keep the work connected from reviewing information to preparing a recommendation, with progress, open questions and deliverables together.

  • Organize material and next steps around the goal
  • Review progress alongside the deliverable
  • Hand open decisions back to the team
Follow the team’s sample delivery
AI teammates · Launch preparationSAMPLE
  1. Take the goal and review the material

    Prepare a showcase page and announcement for our new product. Have the lead coordinate, the developer build the sample page and the writer prepare the copy. Bring both results back for my review.

  2. Organize the work and next steps

    The developer works on the page while the writer prepares the copy

    View progress

    This example uses a prepared product brief to show team handoffs and delivery. It does not connect to a model or publish anything.

  3. Deliver the result with a clear handoff

    The sample page and announcement are prepared for human review and publication. This demo does not publish anything.

SAMPLE DELIVERABLELaunch package · Page and announcement
YOUR CONFIRMATION

Remember this working preference?

“Lead with the conclusion, then the evidence.”
ScopeThis AI teammate
View action details

This example saves one explicit preference. You can review, edit or delete it in the sample memory list.

Continue after your decision
You confirm the working preferences.SAMPLE
02 / TEAMWORK

AI moves the task.
Your team sets the direction.

Let your AI colleague prepare material and recommendations around the team’s goal, then bring open decisions to the people responsible. You confirm important actions and explicitly save working preferences, so handoffs keep their context.

  • Make the goal and working boundaries clear
  • Keep important actions and open decisions together
  • Explicitly save, review and correct working preferences
Explore working preferences and confirmation
03 / DELIVERABLES

Take work forward.
Deliver something useful.

From a team brief to an action plan or a recommendation, give each task a useful deliverable. Keep the reasoning, next steps and open questions with it, ready for the team to use.

FAQ

A few useful answers.

Getting started, models, data and use.

Browse the docs
Can I download wrok Bot now?

No public installer is available yet. The project is still in development, with macOS as the first target. You can explore the source, view example demos and follow progress. The getting-started page will list files and system requirements when a real version is released.

What kind of product is wrok Bot?

wrok Bot is an AI employee and digital teammate platform, designed for AI colleagues that work independently. Its Rust core brings assistants, tools and task output together around a goal. It remains in development and validation, with macOS as the first target; complete independent execution depends on verified capabilities and actual releases.

Can I use my own model provider?

Custom connections, a persistent catalog and parts of the runtime are implemented; SDK authorization has bounded deliveries too. Complete readiness across gateways, account bridges and custom models is still open. Real conversations, tools, cancellation and recovery need combined validation. See the model guide for scope.

Can it control a browser or computer?

Browser and native computer capabilities are within the product’s scope, with some foundations in place. Complete integration, authorization and real-device validation are still in progress. Website demos do not connect to or control your devices, and no online computer-control service is offered here.

Does it automatically learn from everything I do?

The current approach uses explicit memory: you choose what to save, then review and correct it. Confirmation, saving and management have individual implementations; complete product workflows still need validation. Website samples do not train a model from visitor input and reset on reload.

Where is data stored, and can I download every output?

The product database manages conversations, tasks and memory; its location depends on the desktop or self-hosted deployment. External model and tool requests go to their configured services. Displaying text, checklists or charts does not establish a persistent file artifact. A download is not currently promised for every output.

Your next task,
with your AI teammate.

Meet wrok Bot and the AI employees and digital teammates we’re building.