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LLM Broadcaster

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Overview

Type one prompt once and broadcast it to multiple AI chat services from a local browser extension.

LLM Broadcaster turns a dedicated browser profile into a local multi-model AI workspace. Type one prompt once, choose the services you want, and broadcast that prompt into multiple already-open AI chat tabs. It is built for people who compare outputs across models for writing, research, coding, debugging, planning, and creative work. The workflow stays inside your browser: • No API keys • No backend • No external prompt routing • No analytics or telemetry • No hidden tracking Features: • Broadcast one prompt to multiple AI services • Reuse existing AI tabs instead of opening duplicates • Open missing tabs automatically • Use built-in groups like Code, Research, and Creative • Save custom service groups • Save reusable prompt presets • Keep local prompt history • Add an optional context prefix to every broadcast • Reset AI tabs to a fresh chat with one click • Use the popup or persistent side panel LLM Broadcaster does not replace the AI services themselves. You still use your own logged-in browser sessions. The extension simply helps you send the same prompt to the services you choose without repetitive copy-paste. Recommended setup: Use a dedicated Chrome or Brave profile for AI work, stay logged in to the services you use, and keep the extension pinned for fast access.

Details

  • Version
    3.1.0
  • Updated
    May 21, 2026
  • Size
    43.13KiB
  • Languages
    English
  • Developer
    Website
    Email
    atropadreams@protonmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Manage extensions and learn how they're being used in your organization
The developer has disclosed that it will not collect or use your data. To learn more, see the developer’s privacy policy.

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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