Getting started
FAQ quick reference
License, LLM, Token — how do they relate?
- License: Buy USB device license (not screen), plus IPA / BLE setup → Prerequisites & licensing
- LLM: Only AI chat and AI workflow authoring need it; running saved flows does not → Model config
- Token: Trial / run workflows do not consume chat Token → FAQ details
Before you start
- Open the new control center (
新中控.exe— New Control Center — in the install folder) - Confirm devices are connected normally (same as screen mirroring and scripts)
- Completed USB licensing and runtime environment in Prerequisites & licensing
What AI Agent helps you do
No coding — connect phones, speak in Chinese or click a few buttons, and run many iPhones / iPads in parallel. Good for ops, batch testing, repetitive tasks.
Speak and go (AI chat)
Tell AI in plain language; it runs on selected phones, for example:
- “Open WeChat on every phone”
- “Non-automation screenshot on the first one” or “Non-automation OCR — is there a login button?”
- “What automation can I run?”
If info is missing, AI asks follow-ups (e.g. which device) instead of guessing.
Build once, reuse (workflows)
Turn fixed routines like “open App → tap here → wait 3s → type → save screenshot” into a flowchart, then:
- One-click run from the workflow library
- Many phones at once; progress in the task panel
- Need manual captcha on a step? Flow pauses; finish and click Continue
Don’t know how to draw a flow? Let AI write it
In the workflow editor, describe in Chinese, e.g. “Open Safari, visit a URL, then screenshot” — AI can generate the flowchart for you to trial-run, tweak, and save.
Typical scenarios
| Scenario | What you can do |
|---|---|
| Multi-device batch ops | Select 10, 50 devices, run one flow together |
| App walkthrough | Non-automation/automation screenshot, OCR, template/color-offset match, VLM locate, auto tap/swipe |
| Login / register / checkout | Save as workflow; run on schedule or on demand |
| Album asset delivery | Import images/videos from PC folders to device albums |
| Input method scenarios | Dedicated IME steps: type, paste, read clipboard |
| Connection recovery | Add reset USB, wait reconnect in flow to reduce manual unplug |
Three-step onboarding
Step 1: Open AI Agent
- Start the new control center
- Click “AI Agent”
- Default tab is AI chat; if the top bar says not connected, click “Start AI”
Step 2: Configure LLM (recommended)
For Chinese chat to drive devices, configure an LLM first:
- Toolbar “Model config”
- Click Add, fill in your provider — DeepSeek, OpenAI, local Ollama, etc.:
- Name: memorable label, e.g. “DeepSeek main”
- API URL, model name, API key: per provider docs
- Quick templates for DeepSeek / OpenAI / Ollama — pick one and set the key
- Save, then select the config below the chat input
Step 3: Select devices
On the left:
- Devices: check phones to control (multi-select)
- Groups: pick many at once by screen mirroring group
After selection, tell AI “on these phones…”
How to know you’re ready
| Where to look | OK when |
|---|---|
| Top connection status | Connected or green indicator |
| Model name | Current model visible in toolbar |
| Left devices | Online devices checked |
| Workflow library | Can New or see existing flows |
Where data is stored (usually no change)
By default, workflows, chat history, model config live under aibin/data/aiagent/ in the install directory.
If you change path in “Settings”→ Data storage directory, content moves there; restart AI after (“Start AI” or reopen window).
Run logs always stay in aibin/log/, independent of data directory.
Next steps
- Prerequisites & licensing — USB license, automation IPA, BLE/OTG (required)
- AI chat — operate devices via chat
- Image/color matching — template/color-offset match
- Workflow editor — draw flows, trial run, save
- Troubleshooting — won’t open, won’t connect