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Agentic AI & Browser Automation VerticalReady to Deployv2.1 (Ready)

BrowsePilot Chat & Browser Automation

Chat to automate your own browser — clicks, forms & workflows on autopilot

BrowsePilot is Autobot360's agentic browser automation system. Unlike cloud headless scrapers that trigger bot blocks and require giving away sensitive passwords, BrowsePilot connects securely to your own local Chrome browser. Simply chat in plain English to automate repetitive web tasks: fill enterprise web forms, scrape competitor prices, download supplier invoices, cross-check portal records, and execute multi-step web workflows while keeping all your existing logins, cookies, and 2FA sessions completely intact.

4.96 / 5.0
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42,000+ Tasks Automated Active Users
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Local-First Architecture
BrowsePilot Chat & Browser Automation

Read & copy the software prompt

This is the exact structured prompt and constraint architecture used to engineer BrowsePilot Chat & Browser Automation.

Overlay Preset:
system-prompt.spec.ts
UTF-8 • Agentic AI & Browser Automation Spec
System Context: BrowsePilot Autonomous Web Agent. Prompt Objective: Attach to local Chrome session, navigate to state tax portal, locate monthly filing ledger, extract table line items into structured JSON, detect reCAPTCHA checkpoint, request human confirmation if needed, and download signed declaration receipt. [Active Overlay Parameter]: Enterprise Zero-Trust

Built for mission-critical scale

Explore the core architectural pillars powering BrowsePilot Chat & Browser Automation.

Operates in Your Own Browser Session

Executes directly inside your personal or work Chrome profile via Chrome DevTools Protocol (CDP) — your active logins, cookies, and hardware-backed 2FA tokens remain untouched and secure.

Natural Language Chat-to-Action

Simply prompt: 'Go to supplier portal, find all pending invoices for October, download the PDFs, and log invoice totals in Google Sheets'. The agent interprets DOM structures and executes with precision.

Intelligent DOM & Vision Grounding

Combines semantic HTML tree analysis with visual element recognition to reliably click buttons, navigate dropdowns, and fill complex multi-page wizards without fragile CSS selectors.

Human-in-the-Loop Safeguards

Detects CAPTCHAs or sensitive authorization screens, politely pausing to let you complete the step manually before resuming autonomous execution seamlessly.

Regulatory & Compliance Standards

✓ Local-First Architecture✓ Zero Cloud Credential Storage✓ SOC 2 Type II Certified✓ Auditable Action Logs

Engineering Tech Stack

Chrome DevTools Protocol (CDP)Vision-Language GroundingNode.js / TypeScript DaemonWebSocket IPCElectron / Native Bridge