AI agent use cases for founders and small teams
How founders and small teams put AI agents to work: real deployments with the results they reported, and recipes you can try. Every example links to its source.
Run nanoMuse, an open-source personal agent, across phone, desktop and web
The nanoMuse project is an open-source personal agent that runs on Android, iOS, Windows, macOS, Linux and the browser under one account. It can operate apps through their screens…
The article gives no performance metrics; it is a project README.
Run Claude Code and Codex agents in parallel on Mac with Offrun
Offrun is a free Mac app that runs coding agent CLIs such as Claude Code and Codex side by side, each in its own git worktree, using the user's own logins. The page is the product…
As reported by the Offrun site: each agent in a project works in its own git worktree, so two agents on the same repo do not touch the same files.
Route between coding-agent models with the open-source Weave Router 2.0
The Weave team presented Weave Router 2.0 in a Show HN post. It is an open-source routing model that sits in front of coding agents and switches between LLMs per turn, and the aut…
As reported by the Weave author on Hacker News: on Terminal Bench 4.0 and SWE Atlas, the router had equivalent pass rates to GPT-6 Astra.
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Where these examples come from
Every example links to its source: a company's own engineering blog, a vendor's customer story, official documentation or a public write-up. AgentGid writes the summary; the figures under “Results” are quoted from the source as it reports them, and most customer stories are published by the vendor of the tool, so read them as the vendor's claims. Recipes follow the official docs at the time we checked them; tools change quickly, so the linked docs are the reference.
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