MingHelper app icon MingLLM desktop MingHelper
Beta launch - Screen-aware Mac copilot

The Mac assistant for when the next click matters.

MingHelper stays beside the app you are already using, reads visible UI when needed, and tells you what to do next without forcing you to switch tabs, reopen a giant chat window, or explain the whole screen from memory. If you live in release dashboards, Xcode, browsers, settings panels, and calls, this is the faster loop.

Request TestFlight access See how it works Book a demo
See the current app Show the next click clearly Draft while the room is still talking
Best for
App walkthroughs, UI debugging, live drafting
Built for
Release dashboards, Xcode, browser workflows, Zoom
Privacy
Screen and audio context stay opt-in
Why join now

A tighter beta for people who work inside messy desktop software all day.

This beta is not trying to be a general-purpose chatbot for everything. It is for the moments where the UI is the problem: the page changed, the settings are buried, the meeting is live, and you need the next move fast.
01

Less tab switching

The helper stays beside the current app instead of pulling you into a separate destination.

02

Less re-explaining

When context matters, attach the visible screen and ask directly about what is actually there.

03

Faster recovery

Use Tutorial Mode and coaching flows when you need the next click, not a wall of generic advice.

Why it works

Built for the moment where context actually matters.

Most desktop AI gets worse when the answer depends on what is actually on screen. MingHelper is built for that gap: stay beside the current app, pull in screen or audio context only when useful, and make the next action obvious instead of forcing you into another giant chat window.
1

Stay inside the workflow

MingHelper behaves like a companion panel, not a destination site. It is there when you need depth and quiet when you do not.

2

Use context selectively

Plain chat stays fast. Screen capture, guide analysis, and audio transcription come in only for the tasks that benefit from them.

3

Make the next action obvious

The strongest flows are short: one answer, one tag, one arrow, one drafted response while the source context is still fresh.

Core jobs

Start with one wedge: help me on this screen.

The strongest part of MingHelper is simple: see the current UI, answer in context, and point to the next move. The rest should feel like extensions of that core loop, not separate products bolted together.
Plain chat

Ask without extra capture

Use MingHelper like a quick desktop copilot when the answer does not need visual context.

Screen Copilot

Ground the answer in the visible UI

Capture the current screen or active window and ask for help based on what is actually in front of you.

Tutorial Mode

Show the next click clearly

Use a compact guide tag and an arrow to make the next UI step obvious without covering everything else.

Zoom Coach

Draft while the room is still talking

Capture system audio, keep recent transcript context in memory, and generate faster replies during calls.

Trust and setup

The permissions are sensitive, so the trust story has to be simple.

MingHelper only makes sense if people understand when screen or audio context is used, what leaves the device, and where to get help fast. Put the trust story right next to the setup story.
What users need to know

Clear before they grant access.

  • Screen capture is opt-in and only needed for screen-aware help.
  • Speech Recognition is opt-in and only needed for meeting coaching.
  • Requests go directly to OpenAI using the configured API key.
  • Support and privacy routes are already live if users need details.
Current requirements

What the current build expects.

  • macOS 13 or later
  • OpenAI API key for live requests
  • Screen Recording for capture-based features
  • Speech Recognition for audio transcription
Beta access

Want the build that stays beside your work instead of covering it?

If you want MingHelper in your real workflow, ask for TestFlight access or send the exact desktop flow you want help with. The fastest feedback loop is a real app, a real screen, and a real blocker.
Request TestFlight access Send beta feedback Support