docs: add Antigravity x ARTEMIS autonomous testing workflow showcase and update banner

README.md

@@ -3,16 +3,18 @@
 </p>
 
 <p align="center">
-  <strong>ARTEMIS: Autonomous AI Assistant for Mobile Automation</strong>
+  <strong>ARTEMIS: Next-Gen AI Mobile Test Automation & Autonomous Assistant Platform</strong><br>
+  <sub><b>A</b>utonomous <b>R</b>eal-time <b>T</b>esting, <b>E</b>xploration &amp; <b>M</b>obile <b>I</b>nteraction <b>S</b>ystem</sub>
 </p>
 
 <p align="center">
-  <em>⚡ Drive real phones from Cursor & Claude Code • Cross-App Automation • Zero-Maintenance UI Testing • Flash Mode as Fast as 3-5s</em>
+  <em>⚡ Drive Real Devices from Antigravity & Claude Code • Cross-App Automation • Zero-Maintenance UI Testing • Bug Repro & Logcat Diagnostics</em>
 </p>
 
 <p align="center">
   <a href="./README.md"><b>English</b></a> •
   <a href="./README_CN.md">中文文档</a> •
+  <a href="#workflow-showcase">Workflow Showcase</a> •
   <a href="#quick-start">Quick Start</a> •
   <a href="#mcp-setup">MCP for IDEs</a> •
   <a href="#benchmarks">Benchmarks</a> •
@@ -36,12 +38,45 @@
 
 ## ✨ Key Highlights
 
-* ⚡ **Lightning Fast**: First-of-its-kind **Optimistic Asynchronous Pipeline** decouples the foreground execution stream from heavy LLM reasoning;
+* 🤖 **Cross-App Automation & Autonomous AI Assistant**: Operates not just as a robust testing framework, but as an autonomous agent capable of handling complex cross-app workflows and daily tasks via natural language;
-* 🔋 **Ultra-Long Autonomous Execution**: **Pro mode** runs stably for over 10 hours, while monitoring tasks support around-the-clock 24/7 execution;
+* 🧪 **Zero-Maintenance UI Test Automation**: Built upon a "Dynamic-First, Coordinate-Fallback" multimodal locating engine, eliminating fragile XPath/ID selector maintenance and remaining resilient to UI redesigns, system updates, and resolution drift;
-* 🔌 **Native Model Context Protocol (MCP)**: Empowers **Cursor, Claude Code, OpenClaw, Windsurf** with direct mobile device manipulation from within your chat prompts;
+* 🐞 **One-Click Bug Repro & Logcat Diagnostics in IDE**: Native **Model Context Protocol (MCP)** integration allows **Antigravity, Claude Code, and Windsurf** to drive physical test devices via natural language, automatically capturing crash stacks from **Logcat** and keyframe screenshots;
-* 💾 **Visual Console & Persistent Debugging**: Real-time Web UI screen projection, execution replay, and task management with natural language test generation and high-fidelity historical review;
+* ⚡ **Ultra-Fast Execution (3–5s per Step)**: Pioneered an **Optimistic Asynchronous Pipeline** that completely decouples UI interaction from heavy LLM reasoning, achieving rapid regression throughput in Flash mode;
+* 🛡️ **Popup Self-Healing & 10+ Hour Exploration**: Proprietary **Safety Net** double-checks targets before action execution to intercept and clear interfering system popups; Pro mode supports **10+ hours** of continuous exploratory & monkey-plus stability testing;
 * 🏆 **Industry-Leading SOTA**: Achieved **99%+ task completion** on Google Research's **AndroidWorld** benchmark (100+ complex multi-step tasks).
 
+<a id="workflow-showcase"></a>
+## 🤝 Antigravity × ARTEMIS: Autonomous Testing Workflow
+
+Experience seamless collaboration between **Antigravity** and **ARTEMIS** via native MCP integration — taking you from a natural language requirement to a production-grade diagnostic report in four automated steps:
+
+<table width="100%">
+  <tr>
+    <td width="50%" align="center">
+      <b>1️⃣ Prompt Input (Task Dispatch)</b><br>
+      <sub>Describe your test scenario and target metrics in Antigravity</sub><br><br>
+      <img src="./docs/assets/workflow-1-prompt.png" width="100%" alt="Step 1: Prompt Input in Antigravity" />
+    </td>
+    <td width="50%" align="center">
+      <b>2️⃣ Test Plan Generation</b><br>
+      <sub>Antigravity formulates a step-by-step test plan & architecture for review</sub><br><br>
+      <img src="./docs/assets/workflow-2-plan.png" width="100%" alt="Step 2: Test Plan Generation" />
+    </td>
+  </tr>
+  <tr>
+    <td width="50%" align="center">
+      <b>3️⃣ Autonomous Test Execution</b><br>
+      <sub>ARTEMIS drives the real device, navigates UI, and profiles performance</sub><br><br>
+      <img src="./docs/assets/workflow-3-exec.png" width="100%" alt="Step 3: Autonomous Test Execution" />
+    </td>
+    <td width="50%" align="center">
+      <b>4️⃣ Comprehensive Final Report</b><br>
+      <sub>Delivers structured audit findings, metric tables, and raw datasets</sub><br><br>
+      <img src="./docs/assets/workflow-4-report.png" width="100%" alt="Step 4: Final Report" />
+    </td>
+  </tr>
+</table>
+
 <a id="quick-start"></a>
 ## ⚡ Quick Start
 
@@ -64,7 +99,7 @@ start.bat
 <a id="mcp-setup"></a>
 <a id="mcp"></a>
 <details>
-<summary><b>🔌 MCP Setup for Cursor / Claude Code / Windsurf (Click to expand)</b></summary>
+<summary><b>🔌 MCP Setup for Antigravity / Claude Code / Windsurf (Click to expand)</b></summary>
 
 <br>
 
@@ -75,14 +110,14 @@ ARTEMIS includes a native **Model Context Protocol (MCP)** server. Connect your
 Run the built-in generator to produce ready-to-use JSON configuration:
 
 ```bash
-artemis mcp --generate-config cursor
+artemis mcp --generate-config antigravity
 # Or generate configs for all IDEs:
 artemis mcp --generate-config all
 ```
 
 ### 2. Copy Config to Your IDE
 
-* **Cursor** (`.cursor/mcp.json` or Settings ➔ MCP Servers):
+* **Antigravity** (MCP config file or Settings ➔ MCP Servers):
 ```json
 {
   "mcpServers": {
@@ -112,7 +147,7 @@ artemis mcp --generate-config all
 ```
 
 ### 3. Prompt Your Phone in the IDE Chat
-In Cursor or Claude Code, simply prompt:
+In Antigravity or Claude Code, simply prompt:
 > 💬 *"Build the latest changes into an APK, install it on the connected device, open the login screen with a test account, verify if there are any unexpected popups after login, and return screenshots of the final page."*
 
 </details>
@@ -131,15 +166,17 @@ from artemis.interfaces.sdk import ArtemisClient
 
 
 async def main():
-    # Initialize client (choose "flash" for speed or "pro" for deep reasoning)
+    # Initialize client (choose "flash" for fast UI checks or "pro" for deep reasoning & self-healing)
     client = ArtemisClient(default_profile="flash")
 
-    # Run autonomous task
+    # Execute natural language end-to-end test case
-    result = await client.run("Open calculator and compute (128 * 45) + 330")
+    result = await client.run(
+        "Open System Settings, go to 'Battery', verify battery percentage is displayed, and check for any crash dialogs."
+    )
 
-    print(f"Status: {result.status}")
+    # Structured assertions & execution tracing
-    print(f"Turns taken: {result.turns}")
+    assert result.status == "SUCCESS", f"Test failed: {result.failure_reason}"
-    print(f"Trace ID: {result.trace_id}")
+    print(f"✅ Test Passed! Turns: {result.turns} | Trace ID: {result.trace_id}")
 
 
 if __name__ == "__main__":
@@ -156,20 +193,20 @@ if __name__ == "__main__":
   <sub>💡 <b>Console Overview</b>: <b>① View Switcher</b> (Home / Workspace) · <b>② Model & Replay</b> (Flash/Pro status & video replay) · <b>③ Live Agent Stream</b> (Action perception, target coordinates & structured results) · <b>④ Prompt Dock</b> (Natural language dispatch) · <b>⑤ Task Queue & Dashboard</b> (Lifecycle & history)</sub>
 </p>
 
-* 🖥️ **Web Visual Console (`artemis ui`)**: Real-time screen projection and interactive panel, supporting natural language task dispatch, live reasoning telemetry, action trajectories, and execution replay;
+* 🖥️ **Web Visual Test Console (`artemis ui`)**: Real-time screen projection and interactive panel, supporting natural language test dispatch, live reasoning telemetry, action trajectories, and execution replay;
-* 🔌 **Native MCP Protocol (IDE Integration)**: Operates as a standard MCP server seamlessly integrating with **Cursor, Claude Code, OpenClaw**, etc., directly invoking mobile device manipulation inside the IDE;
+* 🔌 **Native MCP Protocol (IDE Collaboration)**: Operates as a standard MCP server seamlessly integrating with **Antigravity, Claude Code, Windsurf**, etc., directly driving real devices inside the IDE to verify bugs and run test cases;
-* 💻 **Developer CLI (`artemis run`)**: Direct terminal execution for automated tasks, test cases, or AndroidWorld benchmarks with high-fidelity structured terminal output;
+* 💻 **Developer CLI (`artemis run`)**: Direct terminal execution for automated test cases, exploratory stability inspection, or AndroidWorld benchmarks with high-fidelity structured terminal output;
-* 🐍 **Python SDK**: Integrates as a standard Python library into existing automated testing frameworks or pipelines with strongly typed Pydantic structured outputs.
+* 🐍 **Python SDK**: Integrates as a standard Python library into existing automated testing frameworks (e.g., pytest) or CI/CD pipelines with strongly typed Pydantic structured outputs and assertion support.
 
 ## 📊 Head-to-Head Comparison
 
-| Scenario / Dimension | Traditional Automation | Generic Screen AI Agents | **ARTEMIS ☕** |
+| Evaluation Dimension | Traditional Test Automation (Appium / Maestro) | Generic Mobile VLM Agents | **ARTEMIS ☕ (Next-Gen AI Testing)** |
 | :--- | :--- | :--- | :--- |
-| **Natural Language Execution** | ❌ Rigid hard-coded scripts only | ⚠️ Sluggish (waits 20-30s per tap) | ⚡ **High Throughput**: As fast as 3–5s per step in Flash mode with fluid responses |
+| **Test Case Maintenance** | ❌ Fragile XPath/ID dependencies; UI changes cause test failures | ⚠️ Unreliable execution; cannot be reused as regression tests | 🧪 **Zero Maintenance**: Natural language test cases resilient to UI drift & redesigns |
-| **UI Redesign Resilience** | ❌ Layout changes break XPath selectors | ⚠️ Coordinate guessing leads to drift | 🎯 **Semantic Grounding**: Blends text, icons & UI tree structure to adapt to UI changes |
+| **Execution Latency & Throughput** | ⚡ Fast script execution, but extreme setup and locator debugging costs | ❌ Sluggish 20–30s per step; too slow for regression testing | ⚡ **High Throughput**: Optimistic Async Pipeline runs at 3–5s per step |
-| **Popup Interception** | ❌ Blocked and crashed immediately | ❌ Loops endlessly on unfamiliar screens | 🩹 **Pre-Execution Self-Healing**: Verifies target state before clicking; dismisses popups |
+| **Popup Resilience & Self-Healing** | ❌ System popups or permissions immediately crash the script | ❌ Easily gets stuck or loops endlessly on unexpected dialogs | 🛡️ **Pre-Execution Safety Net**: Automatically intercepts and clears interfering popups |
-| **Dynamic & Video Tasks** | ❌ Blind static sleep only | ❌ Blind to dynamic video playback | ⏱️ **Real-Time Multimedia**: Live video stream analysis, countdown timers & speculative chaining |
+| **Diagnostics & Multimedia** | ❌ Blind static waits (sleep); cannot assert dynamic video/animations | ❌ Static screenshots only; no system logs or underlying state | 🐞 **Deep Diagnostics**: Live video stream analysis & **Logcat crash stack capture** |
-| **IDE & Tooling Integration** | ❌ Standalone test runner | ❌ Web-only with high integration friction | 🔌 **Native MCP Server**: Directly callable inside Cursor, Claude Desktop, etc. |
+| **Dev Environment Integration** | ❌ Standalone runner; requires manual log collection upon failure | ❌ Isolated web demos; difficult to embed into dev pipelines | 🔌 **Native MCP & SDK**: Drive physical test devices and debug directly inside Antigravity / Claude Code |
 
 <a id="benchmarks"></a>
 ## 🏆 Benchmarks: AndroidWorld (SOTA 99%+)
@@ -230,7 +267,7 @@ Evaluated on [AndroidWorld](https://github.com/google-research/android_world)
 - [x] **Optimistic Asynchronous Pipeline**: Ultra-lean main loop + background context compression & milestone checks.
 - [x] **Pre-Execution Safety Net**: Millisecond pre-check gate & speculative chained actions.
 - [x] **Time-Sensitive Media Tasks**: Fullscreen video and audio stream analysis with `scrcpy` & `ffmpeg`.
-- [x] **Native MCP Server**: Seamless integration with tools like Cursor and Claude Desktop.
+- [x] **Native MCP Server**: Seamless integration with tools like Antigravity and Claude Desktop.
 - [x] **Web Visual Console**: Live screen projection, interactive playground, and trajectory review.
 - [x] **AndroidWorld SOTA**: Achieved 99%+ task completion rate.
 - [ ] **Cross-Platform Extensions**: Exploring iOS and desktop Web perception and execution.

README_CN.md

@@ -3,16 +3,18 @@
 </p>
 
 <p align="center">
-  <strong>ARTEMIS: 全自动操控手机的 AI 个人助理</strong>
+  <strong>ARTEMIS: 下一代 AI 驱动的移动端自动化测试与个人助理平台</strong><br>
+  <sub><b>A</b>utonomous <b>R</b>eal-time <b>T</b>esting, <b>E</b>xploration &amp; <b>M</b>obile <b>I</b>nteraction <b>S</b>ystem</sub>
 </p>
 
 <p align="center">
-  <em>⚡ 让 Cursor / Claude Code 接管真机 • 跨 App 复杂自动化 • 零脚本维护 UI 测试 • Flash 模式单步最快 3-5 秒</em>
+  <em>⚡ 让 Antigravity / Claude Code 接管真机 • 跨 App 复杂自动化 • 零脚本维护 UI 测试 • 智能 Bug 复现与 Logcat 诊断</em>
 </p>
 
 <p align="center">
   <a href="./README.md">English</a> •
   <a href="./README_CN.md"><b>中文文档</b></a> •
+  <a href="#workflow-showcase">全流程演示</a> •
   <a href="#quick-start">快速上手</a> •
   <a href="#mcp-setup">MCP 接入 IDE</a> •
   <a href="#benchmarks">基准评测</a> •
@@ -36,11 +38,45 @@
 
 ## ✨ 核心亮点
 
-* ⚡ **极致响应速度**：首创**全链路乐观异步流水线 (Optimistic Async Pipeline)**，主干执行流与后台重度推理完全解耦；
+* 🤖 **跨 App 复杂自动化与 AI 个人助理**：不仅能执行严格的自动化测试用例，更具备接管真机的自主决策与长流程操作能力，一句话处理跨应用复杂业务与任务；
-* 🔋 **超长程稳定运行**：**Pro 模式**可运行超 10 小时，监控任务甚至可以全天候运行；
+* 🧪 **零脚本维护 UI 自动化测试**：基于“动态优先、坐标兜底”的多模态语义定位，彻底告别传统 XPath / 控件 ID 频繁失效的痛点，无惧 App 改版、分辨率差异与系统升级；
-* 🔌 **原生 MCP (Model Context Protocol) 赋能**：让 **Cursor、Claude Code、OpenClaw、Windsurf** 直接长出“操作真机的双手”，在聊天窗口一句话完成真机测试与 Bug 复现；
+* 🐞 **IDE 内一键 Bug 复现与 Logcat 诊断**：原生支持 **MCP 协议**，可在 **Antigravity、Claude Code、Windsurf** 中直接用自然语言驱动真机复现缺陷，自动抓取关键帧截图与 **Logcat 崩溃堆栈**，完成研发测试闭环；
-* 💾 **可视化控制台与持久化调试**：提供 Web UI 实时投屏、操作回放与任务持久化管理，支持通过自然语言生成测试用例，并对历史执行进行高保真可视化审查；
+* ⚡ **极速执行吞吐（单步 3–5 秒）**：首创**全链路乐观异步流水线 (Optimistic Async Pipeline)**，解耦重度推理与页面操作，在 Flash 模式下实现丝滑的高频交互与快速回归验证；
-* 🏆 **业界顶尖 SOTA**：在 Google Research **AndroidWorld** 基准评测（100+ 复杂长程任务）中取得 **99%+ 任务完成率**。
+* 🛡️ **干扰弹窗自愈与超长程巡检**：独创 **Safety Net** 执行前校验机制，自动识别并清除系统权限弹窗、通知遮挡等异常；Pro 模式支持连续 **10+ 小时** 无人值守稳定性巡检与探索性测试 (Exploratory / Monkey-plus Testing)；
+* 🏆 **业界顶尖 SOTA**：在 Google Research **AndroidWorld** 基准评测（100+ 复杂长程系统与应用交互任务）中取得 **99%+ 任务完成率**。
+
+<a id="workflow-showcase"></a>
+<a id="全流程演示"></a>
+## 🤝 Antigravity × ARTEMIS：全流程自主测试演示
+
+通过原生 MCP 协议，**Antigravity** 与 **ARTEMIS** 深度协同——只需一句自然语言指令，即可自动完成从需求理解、测试规划、真机执行到深度报告输出的完整闭环：
+
+<table width="100%">
+  <tr>
+    <td width="50%" align="center">
+      <b>1️⃣ 输入测试提示词 (Task Dispatch)</b><br>
+      <sub>在 Antigravity 中用自然语言描述测试需求与目标指标</sub><br><br>
+      <img src="./docs/assets/workflow-1-prompt.png" width="100%" alt="步骤一：输入测试提示词" />
+    </td>
+    <td width="50%" align="center">
+      <b>2️⃣ 生成测试方案 (Test Plan Generation)</b><br>
+      <sub>Antigravity 自动拆解任务，生成详细测试步骤与架构图供确认</sub><br><br>
+      <img src="./docs/assets/workflow-2-plan.png" width="100%" alt="步骤二：生成测试方案" />
+    </td>
+  </tr>
+  <tr>
+    <td width="50%" align="center">
+      <b>3️⃣ 自主执行测试 (Autonomous Test Execution)</b><br>
+      <sub>ARTEMIS 接管真机自动化操作，跳过广告并实时采集性能指标</sub><br><br>
+      <img src="./docs/assets/workflow-3-exec.png" width="100%" alt="步骤三：自主执行测试" />
+    </td>
+    <td width="50%" align="center">
+      <b>4️⃣ 交付最终报告 (Comprehensive Final Report)</b><br>
+      <sub>生成结构化测试分析报告，包含性能数据表、结论与原始数据集</sub><br><br>
+      <img src="./docs/assets/workflow-4-report.png" width="100%" alt="步骤四：交付最终报告" />
+    </td>
+  </tr>
+</table>
 
 <a id="quick-start"></a>
 <a id="快速上手"></a>
@@ -65,7 +101,7 @@ start.bat
 <a id="mcp-setup"></a>
 <a id="mcp"></a>
 <details>
-<summary><b>🔌 接入 Cursor / Claude Code / Windsurf (MCP)（点击展开）</b></summary>
+<summary><b>🔌 接入 Antigravity / Claude Code / Windsurf (MCP)（点击展开）</b></summary>
 
 <br>
 
@@ -76,14 +112,14 @@ ARTEMIS 内置原生 **Model Context Protocol (MCP)** 服务。只需将以下
 运行内置命令一键获取当前环境的完整配置 JSON：
 
 ```bash
-artemis mcp --generate-config cursor
+artemis mcp --generate-config antigravity
 # 或生成所有 IDE 配置：
 artemis mcp --generate-config all
 ```
 
 ### 2. 复制配置到 IDE
 
-* **Cursor** (`.cursor/mcp.json` 或 设置 ➔ MCP Servers)：
+* **Antigravity** (MCP 配置文件或 设置 ➔ MCP Servers)：
 ```json
 {
   "mcpServers": {
@@ -113,7 +149,7 @@ artemis mcp --generate-config all
 ```
 
 ### 3. 在 IDE 中体验真机协同
-在 Cursor / Claude Code 对话框中直接输入：
+在 Antigravity / Claude Code 对话框中直接输入：
 > 💬 *"请帮我把刚刚修改的代码编译成 APK 并安装到手机上，打开登录页面输入测试账号，验证登录后是否有异常弹窗，并把最终页面截图回传。"*
 
 </details>
@@ -132,15 +168,17 @@ from artemis.interfaces.sdk import ArtemisClient
 
 
 async def main():
-    # 初始化客户端（支持 "flash" 极速模式 或 "pro" 深度推理模式）
+    # 初始化测试客户端（支持 "flash" 极速校验模式 或 "pro" 深度推理与自愈模式）
     client = ArtemisClient(default_profile="flash")
 
-    # 执行自然语言任务
+    # 执行自然语言端到端测试用例
-    result = await client.run("打开计算器，计算 (128 * 45) + 330 的结果")
+    result = await client.run(
+        "打开系统设置，进入『电池』页面，验证是否正常显示电量百分比，确认页面无异常报错弹窗。"
+    )
 
-    print(f"执行状态: {result.status}")
+    # 结构化断言与执行追溯
-    print(f"消耗步数: {result.turns}")
+    assert result.status == "SUCCESS", f"测试执行失败: {result.failure_reason}"
-    print(f"Trace ID: {result.trace_id}")
+    print(f"✅ 测试通过！耗时步数: {result.turns} | Trace ID: {result.trace_id}")
 
 
 if __name__ == "__main__":
@@ -157,20 +195,20 @@ if __name__ == "__main__":
   <sub>💡 <b>控制台功能布局</b>：<b>① 顶栏视图切换</b>（主页与工作区） · <b>② 运行模式与录屏回放</b>（Flash/Pro 状态与视频回放） · <b>③ 实时感知推理流</b>（动作分解、点击坐标与结构化总结） · <b>④ 自然语言下发胶囊</b>（自然语言驱动真机） · <b>⑤ 任务队列看板</b>（状态流转与历史回溯）</sub>
 </p>
 
-* 🖥️ **Web 可视化控制台 (`artemis ui`)**：集成设备实时投屏与交互面板，支持通过自然语言下发任务，实时观测推理过程、操作轨迹与状态回放；
+* 🖥️ **Web 可视化测试控制台 (`artemis ui`)**：集成设备实时投屏与交互面板，支持通过自然语言下发测试用例，实时观测推理步骤、操作轨迹、截图留存与异常状态回放；
-* 🔌 **MCP 协议集成 (IDE 联动)**：作为标准 MCP 服务器无缝接入 **Cursor、Claude Code、OpenClaw** 等环境，直接在 IDE 中调用移动端真机操作能力；
+* 🔌 **MCP 协议集成 (AI IDE 协同)**：作为标准 MCP 服务器无缝接入 **Antigravity、Claude Code、Windsurf** 等开发环境，在 IDE 中直接驱动真机完成自动化测试与 Bug 复现验证；
-* 💻 **命令行工具 (`artemis run`)**：支持通过 CLI 直接执行自动化任务、测试用例或 AndroidWorld 基准评测，提供高保真结构化终端输出；
+* 💻 **命令行工具 (`artemis run`)**：支持通过 CLI 直接执行自动化用例、稳定性巡检或 AndroidWorld 基准评测，提供高保真结构化终端输出；
-* 🐍 **Python SDK**：作为标准 Python 库集成至现有自动化测试框架或流水线，提供基于 Pydantic 的强类型结构化输出。
+* 🐍 **Python SDK**：作为标准 Python 库无缝集成至现有自动化测试框架（如 pytest）或 CI/CD 流水线，提供基于 Pydantic 的强类型结构化结果与断言支持。
 
 ## 📊 方案横向对比
 
-| 场景 / 维度 | 传统自动化框架 | 常见屏幕 Agent | **ARTEMIS ☕** |
+| 评估维度 | 传统自动化测试框架 (Appium / Maestro) | 常见移动端 VLM Agent | **ARTEMIS ☕ (下一代 AI 测试平台)** |
 | :--- | :--- | :--- | :--- |
-| **自然语言指令支持** | ❌ 仅支持硬编码脚本，无语义理解 | ⚠️ 响应较慢，单步交互通常需 20-30 秒 | ⚡ **高效执行**：Flash 模式下单步最快约 3-5 秒，交互流畅 |
+| **用例编写与维护** | ❌ 强依赖 XPath/ID，UI 微调即导致大面积报错 | ⚠️ 缺乏工程化封装，执行不可靠，无法作为用例复用 | 🧪 **零脚本维护**：自然语言直接定义用例，无惧 UI 漂移与改版 |
-| **UI 改版适应能力** | ❌ 元素变更易导致脚本执行中断 | ⚠️ 依赖绝对坐标，存在位置偏移风险 | 🎯 **多模态语义定位**：结合文本、图标与层次结构，自适应 UI 变化 |
+| **执行延迟与吞吐** | ⚡ 脚本执行快，但编写与定位调试耗时极长 | ❌ 单步推理动辄 20-30 秒，无法满足回归测试要求 | ⚡ **高吞吐低延迟**：首创乐观异步流水线，单步仅需 3-5 秒 |
-| **异常弹窗处理** | ❌ 弹窗遮挡易导致定位失败 | ❌ 面对未知弹窗易陷入无效循环 | 🩹 **执行前校验与自愈**：操作前确认目标状态，自动识别并处理干扰弹窗 |
+| **异常遮挡与自愈** | ❌ 遇到系统权限弹窗或意外通知时直接中断报错 | ❌ 遇到非预期弹窗极易卡死或陷入无意义循环 | 🛡️ **执行前校验与自愈**：Safety Net 自动拦截并处理干扰弹窗 |
-| **动态与视频场景** | ❌ 仅支持静态等待 (sleep)，无动态感知 | ❌ 无法识别视频与动态流媒体内容 | ⏱️ **流媒体分析**：支持视频流分析、倒计时识别与预测性连点 |
+| **缺陷诊断与多媒体** | ❌ 仅支持静态等待，难以对视频流/动效做自动化验证 | ❌ 仅看静态截图，无法获取底层日志及系统状态 | 🐞 **深层诊断**：支持流媒体分析与 **Logcat 崩溃堆栈抓取** |
-| **开发环境集成** | ❌ 独立运行，难以直接与 AI IDE 联动 | ❌ 通常仅提供独立网页，集成成本高 | 🔌 **原生 MCP 支持**：可在 Cursor、Claude Desktop 等环境中直接调用 |
+| **开发环境集成** | ❌ 独立运行，发现问题后需人工抓日志提单 | ❌ 多为独立网页 Demo，难以融入研发工具链 | 🔌 **原生 MCP & SDK**：在 Antigravity/Claude Code 中直接驱动真机测 Bug |
 
 <a id="benchmarks"></a>
 <a id="基准评测"></a>
@@ -232,7 +270,7 @@ if __name__ == "__main__":
 - [x] **全链路乐观异步流水线**：主流程轻量化，后台并发执行记忆压缩与断言校验。
 - [x] **Safety Net 执行前校验**：动作下发前双层核验与预测性链式执行。
 - [x] **时间敏感多媒体处理**：集成 `scrcpy` 与 `ffmpeg` 分析全屏视频与音频流。
-- [x] **原生 MCP 服务支持**：支持与 Cursor、Claude Desktop 等工具无缝集成。
+- [x] **原生 MCP 服务支持**：支持与 Antigravity、Claude Desktop 等工具无缝集成。
 - [x] **Web 可视化控制台**：提供设备投屏、交互演练与轨迹回溯。
 - [x] **AndroidWorld SOTA**：达到 99%+ 的任务完成率。
 - [ ] **跨平台扩展**：探索 iOS 与 Web 端的定位与操作能力。

docs/assets/generate_banner.py

@@ -154,9 +154,23 @@ def create_banner_html():
     filter: drop-shadow(0 0 35px rgba(66, 133, 244, 0.4));
   }
 
+  .brand-acronym {
+    font-size: 13px;
+    font-weight: 600;
+    color: #94A3B8;
+    letter-spacing: 0.015em;
+    font-family: 'Google Sans Mono', 'Roboto Mono', monospace;
+    margin-top: -3px;
+  }
+
+  .brand-acronym span {
+    color: #60A5FA;
+    font-weight: 800;
+  }
+
   /* Clean Single Subtitle (Preserving Android) */
   .brand-tagline {
-    font-size: 24px;
+    font-size: 23px;
     font-weight: 700;
     line-height: 1.35;
     color: #F8FAFC;
@@ -216,7 +230,8 @@ def create_banner_html():
   }
 
   .prompt-text {
-    font-size: 13.5px;
+    font-size: 12px;
+    line-height: 1.35;
     font-family: 'Google Sans Mono', 'Roboto Mono', monospace;
     color: #E2E8F0;
     font-weight: 500;
@@ -379,6 +394,46 @@ def create_banner_html():
     font-family: 'Google Sans Mono', 'Roboto Mono', monospace;
   }
 
+  /* Host Telemetry Metrics Panel in Console */
+  .metrics-panel {
+    background: rgba(15, 23, 42, 0.85);
+    border: 1px solid rgba(255, 255, 255, 0.08);
+    border-radius: 8px;
+    padding: 7px 10px;
+    display: flex;
+    flex-direction: column;
+    gap: 4px;
+    margin-top: 1px;
+  }
+
+  .metric-row {
+    display: flex;
+    align-items: center;
+    justify-content: space-between;
+    font-family: 'Google Sans Mono', 'Roboto Mono', monospace;
+    font-size: 9.5px;
+  }
+
+  .metric-label {
+    color: #94A3B8;
+  }
+
+  .metric-value {
+    color: #F1F5F9;
+    font-weight: 700;
+  }
+
+  .metric-value.cpu-highlight {
+    color: #34D399;
+    background: rgba(52, 211, 153, 0.15);
+    padding: 1px 5px;
+    border-radius: 3px;
+  }
+
+  .metric-value.status-ok {
+    color: #60A5FA;
+  }
+
   /* Connected Mobile Phone Mockup */
   .phone-frame {
     position: relative;
@@ -657,9 +712,14 @@ def create_banner_html():
       <h1 class="brand-title">ARTEMIS</h1>
     </div>
 
+    <!-- Write out what ARTEMIS stands for -->
+    <div class="brand-acronym">
+      <span>A</span>utonomous <span>R</span>eal-time <span>T</span>esting, <span>E</span>xploration &amp; <span>M</span>obile <span>I</span>nteraction <span>S</span>ystem
+    </div>
+
     <!-- Clear, Crisp Subtitle -->
     <div class="brand-tagline">
-      Control Any Android App with <span>Autonomous AI</span>
+      Test Any Pixel / Android App with <span>Autonomous AI</span>
     </div>
 
     <!-- User Prompt Input Example -->
@@ -672,7 +732,7 @@ def create_banner_html():
         </div>
       </div>
       <div class="prompt-text">
-        <span>&gt;</span> Order an iced caramel latte with oat milk
+        <span>&gt;</span> Connect to Bluetooth earbuds, play a song, and capture CPU usage metrics
       </div>
     </div>
   </div>
@@ -685,70 +745,86 @@ def create_banner_html():
       <div class="console-header">
         <div class="console-title-group">
           <div class="console-dot"></div>
-          <span class="console-title">Agent Execution</span>
+          <span class="console-title">Host Agent Console</span>
         </div>
-        <span class="console-badge">STEP 3 / 4</span>
+        <span class="console-badge">MONITORING</span>
       </div>
 
       <div class="step-list">
         <div class="step-item">
           <span class="step-icon-done">✓</span>
-          <span class="step-text-done">1. Open app & search catalog</span>
+          <span class="step-text-done">1. Connect to Bluetooth earbuds</span>
         </div>
         <div class="step-item">
           <span class="step-icon-done">✓</span>
-          <span class="step-text-done">2. Select item & customize</span>
+          <span class="step-text-done">2. Launch music player & play song</span>
         </div>
 
         <!-- Active Step -->
         <div class="step-active-card">
           <div class="step-active-header">
-            <span class="step-active-title">▶ 3. Tap "Place Order"</span>
+            <span class="step-active-title">▶ 3. Capture CPU usage metrics</span>
-            <span class="step-active-time">140ms</span>
+            <span class="step-active-time">Active</span>
           </div>
           <div class="step-active-desc">
-            Vision target grounded at <span>(540, 1680)</span>
+            ADB polling top -n 1 <span>(pid: 14208)</span>
+          </div>
+        </div>
+
+        <!-- Host Telemetry Metrics Box -->
+        <div class="metrics-panel">
+          <div class="metric-row">
+            <span class="metric-label">Target App CPU</span>
+            <span class="metric-value cpu-highlight">4.2%</span>
+          </div>
+          <div class="metric-row">
+            <span class="metric-label">Bluetooth Audio</span>
+            <span class="metric-value status-ok">● Connected</span>
+          </div>
+          <div class="metric-row">
+            <span class="metric-label">Sample Rate</span>
+            <span class="metric-value">48kHz / A2DP</span>
           </div>
         </div>
 
         <div class="step-pending">
           <span>○</span>
-          <span>4. Verify receipt & return</span>
+          <span>4. Assert CPU &lt; 5.0% threshold</span>
         </div>
       </div>
     </div>
 
-    <!-- Real Connected Phone Executing the Tap -->
+    <!-- Real Connected Phone Displaying Actual App UI -->
     <div class="phone-frame">
       <div class="phone-screen">
         <div class="phone-island"></div>
 
         <div class="screen-header">
-          <span class="screen-title">Food & Drink</span>
+          <span class="screen-title">Now Playing</span>
-          <span class="device-tag">● ANDROID</span>
+          <span class="device-tag">● PIXEL LAB</span>
         </div>
 
         <div class="mock-item-card">
-          <div class="item-thumb">☕</div>
+          <div class="item-thumb">🎵</div>
           <div class="item-info">
-            <span class="item-title">Iced Caramel Latte</span>
+            <span class="item-title">Coldplay - Yellow</span>
-            <span class="item-sub">Double Shot · Oat Milk</span>
+            <span class="item-sub">Output: Pixel Buds Pro</span>
           </div>
-          <span class="item-price">$5.40</span>
+          <span class="item-price">Playing ▶</span>
         </div>
 
         <div class="mock-secondary-card">
-          <span class="secondary-text">Delivery Address</span>
+          <span class="secondary-text">Active Audio Output Device</span>
-          <span class="secondary-val">Desk #42</span>
+          <span class="secondary-val">🎧 Pixel Buds Pro (A2DP)</span>
         </div>
 
         <div class="action-target-wrapper">
-          <!-- AI Grounding Box on Target Button -->
+          <!-- AI Grounding Box on Real Mobile Target -->
           <div class="grounding-box">
             <div class="grounding-tag">🎯 GROUNDED (0.99)</div>
           </div>
           <div class="mock-btn">
-            Place Order ($5.40)
+            Media Output Controls
           </div>
           <!-- Tap Ripple -->
           <div class="tap-point">