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How to try the guided demo before connecting anything with Taskuary

Run Taskuary's fictional demo to see a request go from email to approved reply.

Short answer: Install Python 3.10 or newer on Windows, macOS or Linux; then run pip install taskuary; run taskuary --demo. All steps.

Who it is forA person curious about Taskuary who wants to see the workflow before connecting work mail, chats or tickets.

The problemSetting up an AI assistant that touches real mail is a lot to commit to before you know how the task flow feels.

The outcomeYou have seen one fictional request move through triage, agent work and your approval, with no outside system touched.

What you need first

  • Python 3.10 or newer, or the Windows Taskuary.exe download, or Docker
  • An AI provider key or a local Ollama model
  • At least one inbound channel such as mail, chat or tickets
  • A coding CLI such as Claude Code, Codex or Gemini if you want agents to do the work

Steps

  1. Install Python 3.10 or newer on Windows, macOS or Linux.
  2. Run pip install taskuary
  3. Run taskuary --demo
  4. Open http://127.0.0.1:7787 and choose Walk me through my tasks.
  5. Follow Ruth's vendor spend request to the Approve & send step and stop there.

Prompt for your agent

In the ldbumble/taskuary repo, install the package with `pip install taskuary` and start it with `taskuary --demo`. Report the title of the first task the Assistant shows, and confirm that the demo cannot send messages or start agents. Verify the demo output by checking that the task names fictional data only.

Caveat. The demo uses fictional data and scripted replies, so it does not show how your own mail or tickets will be triaged.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for ldbumble/taskuary and "Try the guided demo before connecting anything"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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