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AI Automation Platform
Frontend Engineer • Chrome Extension Developer

100x.bot

AI-powered browser automation platform with Chrome extension workflows, page augmentation, smart tables, and multi-agent browser actions.

100x.bot

Overview

Contributed to the frontend platform and Chrome extension architecture for 100x.bot — an AI-powered browser automation platform designed for workflow recording, smart browser actions, page augmentation, and multi-step automation across websites. Worked on scalable frontend systems, extension interfaces, browser interaction layers, and responsive product experiences.

Problem

Traditional browser workflows are repetitive, fragmented, and difficult to automate without complex tooling. The platform required a browser-native automation system capable of interacting deeply with websites, workflows, tabs, and page content while remaining scalable and user-friendly.

Solution

Developed frontend systems and browser extension interfaces enabling workflow automation, page-level actions, AI-assisted interactions, and browser augmentation features. Built reusable UI systems and extension interaction layers designed for scalable automation workflows and responsive user experiences.

Features

  • Chrome extension-based browser automation
  • Workflow recording and browser interaction systems
  • Page-level automation and augmentation features
  • Responsive SaaS frontend platform
  • AI-assisted workflow interactions
  • Dynamic dashboard and data-driven interfaces
  • Cross-page browser workflow support
  • Reusable component-based frontend architecture

Architecture

01

Frontend Platform

Built scalable React.js and Next.js frontend systems powering the AI automation platform and workflow interfaces.

02

Browser Extension

Worked with Chrome Extension APIs, content scripts, and browser interaction layers to support workflow automation and page augmentation.

03

Automation Layer

Implemented frontend interaction systems supporting browser workflows, automation actions, and AI-assisted operations across websites.

Challenges

  • Handling reliable browser interactions across different website structures
  • Building scalable extension UI systems for automation-heavy workflows
  • Maintaining responsive performance inside browser-based environments
  • Designing frontend systems flexible enough for rapidly evolving AI product features

Outcomes

  • Contributed to a production-grade AI browser automation platform
  • Delivered scalable frontend and extension systems for workflow automation
  • Improved browser interaction usability and responsive UX
  • Built reusable foundations supporting future automation features and workflows

Learnings

  • Browser automation products require careful balance between flexibility, reliability, and usability
  • Chrome extension architecture becomes significantly more complex at production scale
  • AI workflow systems evolve rapidly, making modular frontend architecture critical
  • Responsive UX matters even more in productivity and automation-focused applications

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Oasis Notes

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