---
title: "Desktop AI Agent For Windows | Think-Act Agent Workspace"
description: "Use Think-Act as a Windows desktop AI agent with plain-language tasks, goals, verification, tools, skills, checkpoints, and controlled automation."
---

# Desktop AI Agent For Windows

The Think-Act agent workspace is designed for real desktop work: tell the agent what to do, define success when needed, review the response, and keep tool actions visible.

It is built for tasks that cross documents, files, apps, screenshots, recordings, and trusted connectors.

## Plain-Language Tasks

Start like you would with a capable assistant.

- Ask for a report, summary, review, checklist, or file workflow.
- Mention the files, folders, apps, or constraints that matter.
- Use natural language instead of commands.
- Add context from OCR, copied text, screenshots, or documents.
- Keep the task bounded for better verification.

## Success Criteria

Some tasks need a clear finish condition.

- Define what must be true before the agent can say it is done.
- Ask for evidence when accuracy matters.
- Require verification for file changes, summaries, or generated deliverables.
- Use the goal field for measurable outcomes.
- Leave it collapsed for simple one-shot tasks.

## Tools And Skills

The agent uses only what is available.

- Skills guide how the agent should think or format work.
- MCP tools expose real capabilities when enabled and connected.
- Failed MCP servers are disabled and not exposed.
- The agent should not invent tools that are missing.
- When a workflow needs a connector, it should tell the user what to install.

## Execution Visibility

Agent work should be inspectable.

- View the final answer and supporting observations.
- Review activity logs and tool events.
- Copy results or open them in an editor where supported.
- Check what changed after a run.
- Use recovery controls when available.

## Recovery And Reuse

Good workflows should become safer over time.

- Rewind before a risky tool call when supported.
- Inspect changes from the last checkpoint.
- Save repeatable workflows as local skills.
- Keep skills in manual or read-only mode when side effects are involved.
- Use connector requirements so skills do not promise unavailable actions.

## Good Agent Tasks

The agent is strongest when the target is clear.

- Organize a folder using explicit rules.
- Create a project status update from notes.
- Summarize a document and list follow-up actions.
- Draft a GitHub issue from logs or a recording.
- Convert a process recording into an SOP.
- Prepare a checklist from extracted OCR text.

## Get Started

Use the agent for one bounded task first.

[Download Think-Act now](./downloads.md) and ask the desktop agent to complete a small workflow with verification enabled.

## Related Pages

- [Home](./index.md)
- [Automate tasks](./automate-tasks.md)
- [Skills and integrations](./integration.md)
- [Security](./security.md)
- [Screen Recorder](./feature-screen-recorder.md)
- [OCR and Document Intelligence](./feature-ocr-document-intelligence.md)
- [FAQ](./faq.md)

## FAQ

### Is the agent always running?

No. It runs when you start a task or trigger an enabled workflow.

### Can it use desktop tools?

Yes, when the required connector or tool is installed, trusted, enabled, and healthy.

### What happens if a required tool is missing?

The agent should explain the missing connector instead of returning a fake tool call.