See Muse in practice.
Explore examples of models and tools working together, from the first instruction to a result.
10 examples
Examples
Browser-Based Website Development
An AI workflow that creates a website, opens it in a browser, inspects the result and makes corrections.
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Iterative Game Development
Builds a game, runs it, playtests through a browser and improves based on observed failures.
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Multi-Agent Product Studio
Product, frontend, backend and writing roles coordinate on a software project.
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GitHub Automation
Triages issues, reviews pull requests and proposes fixes.
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Computer Use on Linux
Operates a Linux desktop from screenshots and interface actions.
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Local Code Review with Glimmer
A fully local workflow where Glimmer reads source files, reviews them and writes a report to disk.
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Screenshot Bug Fixing
From a UI screenshot: diagnose the problem, locate code and repair it.
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Scheduled Monitoring
Recurring checks while a Muse Code session stays running.
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Parallel Work Across Git Worktrees
Multiple agents work in isolated Git worktrees—separate working copies of a repository—so parallel changes do not overwrite each other.
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Voice-Controlled Application
Speech recognition connected to an interactive application.
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