Install the native app
Install the native app so [Q] can connect browser AI to local files, commands, downloads, and build tools.
Nexus Platforms gives teams a lower-cost way to use AI at full power. The [Q] Chrome Extension works directly inside browser AI experiences, while Nexus Control Core on Windows or the [Q] macOS App turns that output into local files, commands, downloads, project scaffolds, scrapers, and working software.
That means startups can move faster without getting crushed by API costs, and larger companies can scale AI workflows without watching token spend grow every month. When the browser already gives you the intelligence layer, [Q] turns it into execution.
The flow is simple: install the native app, download the extension, then start building with the Startup Builder. From there, [Q] handles the bridge between browser AI and your local environment.
Install the native app so [Q] can connect browser AI to local files, commands, downloads, and build tools.
Add the [Q] Chrome Extension so Nexus Platforms can interact with browser AI, automate websites, collect output, and send structured work back to your machine.
Open Startup Builder, pick a startup concept improved by [Q], and start building software with a browser-first AI workflow instead of a token-metered API stack.
Nexus Platforms is designed to sit on top of real browser experiences, not force everything through a separate API-only pipeline.
RunItByQ starts with your idea. Startup Builder starts with harvested startup concepts that have already been sharpened by [Q]. In both cases, the result is the same: a more practical path from concept to execution.
That matters because the common failure mode in AI products is not capability. It is cost. Teams get excited, ship a demo, then realize the operating model gets more expensive as usage grows. Nexus Platforms was built to break that pattern by giving you a browser-first execution path with no API cost for basic usage.
The system spans AI platforms, media tools, scrapers, startup workflows, and local execution so ideas do not stop at the prompt window.
Collect output, parse structure, continue long workflows, and push results into real local work.
Use Claude in the browser for writing, planning, code generation, and larger structured task flows.
Use Grok for fast discovery, summarization, and aggressive ideation inside broader [Q] workflows.
Automate music-generation flows and route downloads into organized local output.
Use browser-based video prompting workflows without building a separate media pipeline.
Download the current video as MP3, MP4, or WAV through the local backend connection.
Collect listing data and route it into exportable local files or broader research flows.
Capture job listings and profile data for recruiting, research, and downstream automation.
Browse startup ideas improved by [Q] and launch build workflows without a separate engineering team.
The more often a team repeats the same AI-heavy workflow, the more the billing model matters. Nexus Platforms was designed to move that cost curve in a better direction.
Estimated monthly cost exposure avoided by moving repeatable browser-friendly AI workflows away from a token-metered API path.
$24,000 estimated annual runway preserved.
For startups, that can mean more time to iterate before fundraising pressure. For enterprise teams, it can mean meaningful savings when AI usage scales across departments.
Nexus Platforms is not trying to hide what happens. It is built around visible browser workflows, local connectivity, and a machine you control.
Nexus Control Core and the [Q] macOS App run on your machine and give [Q] a real working environment for file operations, commands, downloads, and builds.
[Q] works through browser interfaces you can see, inspect, and understand rather than turning everything into an invisible API call.
Teams can design guardrails around local folders, project paths, logs, and reviewable execution steps as usage expands.
Most systems in this category eventually run into the same problem: the more useful they become, the more expensive they are to operate. Nexus Platforms is meant to change that.
Open-source and self-hosted systems can still become expensive once model calls, subscriptions, local hardware, and cloud compute are added together. Nexus Platforms is designed to use browser AI as the intelligence layer and [Q] as the local execution layer, which changes the economics for basic usage.