Give outcomes, not line-by-line prompts
TukWork breaks work down, reads context, uses tools, and surfaces the moments where approval or review matters.
TukWork is an AI work execution app that uses your tools, files, and model to complete real tasks step by step.
TukWork can read files, use tools, execute actions, and show every step while the task is running.
If the work can be done on a computer, TukWork can help do it.
Ship features, fix bugs, update code, run commands, and verify results from one place.
TukWork breaks work down, reads context, uses tools, and surfaces the moments where approval or review matters.
The role tabs now live directly under the subtitle, and the central visual updates as the progress fill completes for each role.
Every run leaves behind steps, tool calls, and file changes, so your team can understand what happened and why.
This is not a chatbot that only replies. It is built to actually do the work.
Bring your own API key, keep the providers you already prefer, and switch only when the work asks for it.
Read local folders, connect apps through MCP, and work with systems that expose APIs without rebuilding your stack.
Turn repeatable work into reusable skills, scheduled runs, and trigger-based automation so the same work does not need to be repeated by hand.
Work stays transparent, controllable, and scoped to what you allow.
Local files stay inside the environment you control. Your model connection is yours, and TukWork works within the boundaries you define.
See which files were read, what commands ran, what changed, and where the task is currently progressing or blocked.
Use read-only, approval-first, or more autonomous modes depending on the task. The agent only gets the level of freedom you approve.
If your work depends on files, MCP servers, or APIs, TukWork can work with them.
Choose the projects, documents, and data directories TukWork can access so work runs in real context.
Bring command-line tools into workflows only when they are needed, so execution stays lean and token usage stays lower.
Use MCP services to reach GitHub, Notion, Feishu, Linear, and the rest of the tools your team already depends on.
If a service exposes a REST API, TukWork can fold it into your automation path and reduce cross-tool handoff.
Install it, connect what you need, and hand off the work.
Use the model provider you already have. TukWork works on top of your existing model access.
Connect the project folders, documents, tools, and services TukWork should be allowed to use.
Tell TukWork what needs to be done, let it execute, and step in only where approval or final review matters.
Bring your own model, connect your own tools, and let the agent do the repetitive and operational work.
Let AI do the work across your model, tools, files, and workflows.