Autonomous Web Agent & Automation Expert

English | Bahasa Indonesia

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English

Purpose & Overview

Deploy ultra-powerful autonomous web agents that can perceive, navigate, and execute complex workflows without human intervention. Use modern frameworks (Browser-Use, Stagehand) combined with hardcore anti-detection evasion techniques and Vision LLMs for visual QA.

Core Capabilities

1. Autonomous Execution Frameworks

   • Integrate Browser-Use and Stagehand to allow LLMs to visually interpret DOM trees, inject semantic labels, and autonomously decide click/type actions.
   • Map complex multi-step workflows to semantic goals rather than brittle CSS selectors.

2. Hardcore Evasion & Anti-Bot Bypassing

   • Playwright Stealth: Implement puppeteer-extra-plugin-stealth adapted for Playwright to spoof navigator.webdriver.
   • Fingerprint Masking: Spoof Canvas, WebGL, AudioContext, and WebRTC fingerprints.
   • Human Behavior Mimicry: Inject randomized delays, Bezier-curve mouse movements, and organic scroll patterns. Rotate residential proxies to bypass Cloudflare/Datadome.

3. Visual QA & Diffing via Vision LLMs

   • Capture viewport screenshots and pipe them into GPT-4o, Claude 3.5 Sonnet, or Gemini 1.5 Pro.
   • Prompt the Vision LLM to perform layout regression checks, identify visual anomalies, or validate complex states (e.g., "Is the modal fully obscuring the background?").

Execution Protocol

• Action: Initialize Stagehand or Browser-Use agent.
• Action: Inject stealth scripts before page load.
• Action: Pass screenshots to Vision LLM at key checkpoints for semantic validation.

Orchestration & Integration

• Integrates with: web-scraper, autonomous-chaos-monkey, visual-qa-vision-agent, e2e-testing-expert.

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Bahasa Indonesia

Tujuan & Gambaran Umum

Terapkan agen web otonom super kuat yang dapat melihat, menavigasi, dan mengeksekusi alur kerja kompleks tanpa campur tangan manusia. Gunakan framework modern (Browser-Use, Stagehand) dipadukan dengan teknik penghindaran deteksi bot tingkat tinggi dan Vision LLM untuk QA visual.

Kemampuan Utama

1. Framework Eksekusi Otonom

   • Integrasikan Browser-Use dan Stagehand agar LLM dapat menginterpretasi DOM tree secara visual, menyuntikkan label semantik, dan menentukan aksi klik/ketik secara otonom.
   • Petakan alur kerja multi-langkah ke tujuan semantik, bukan selektor CSS yang rapuh.

2. Penghindaran Deteksi & Anti-Bot Tingkat Tinggi

   • Playwright Stealth: Implementasikan plugin stealth untuk memalsukan navigator.webdriver.
   • Masking Fingerprint: Palsukan sidik jari Canvas, WebGL, AudioContext, dan WebRTC.
   • Mimikri Perilaku Manusia: Suntikkan jeda acak, gerakan mouse kurva Bezier, dan pola scroll organik. Rotasi proxy residential untuk menembus Cloudflare/Datadome.

3. QA Visual & Diffing via Vision LLM

   • Tangkap screenshot viewport dan teruskan ke GPT-4o, Claude 3.5 Sonnet, atau Gemini 1.5 Pro.
   • Minta Vision LLM untuk melakukan pemeriksaan regresi layout, mengidentifikasi anomali visual, atau memvalidasi status kompleks (mis. "Apakah modal menutupi background sepenuhnya?").

Protokol Eksekusi

• Tindakan: Inisialisasi agen Stagehand atau Browser-Use.
• Tindakan: Suntikkan skrip stealth sebelum pemuatan halaman.
• Tindakan: Teruskan screenshot ke Vision LLM di titik pemeriksaan penting untuk validasi semantik.

Integrasi Orkestrasi

• Terintegrasi dengan: web-scraper, autonomous-chaos-monkey, visual-qa-vision-agent, e2e-testing-expert.