Grounded in your codebase
Not in a prompt, not in a PDF. The agent is derived from your actual code.
Faustine is the fastest, safest way to add an agent to your software product — and keep it working as your product evolves. Launch without building an AI team or maintaining the agent infrastructure yourself. Give your users a faster way to get things done, today.
Tuesday · 5 open deals · 2 tasks due
Start with Acme — the $48k renewal stalls Friday. Delta Freight is waiting on your quote. Both flagged.
Booked — Thursday 10:00with Delta's ops lead. The invite is on your calendar.
The difference isn't the model — it's what it's grounded in and what it's allowed to do. A Web App Agent comes from your code and can use every action your users already have.
Not in a prompt, not in a PDF. The agent is derived from your actual code.
Ask it to refund an order and it refunds the order — through the same code path a user would hit.
Push a commit and Faustine re-analyzes. Your AI never falls behind your product.
Launch without building an AI team or maintaining the agent infrastructure yourself. Connect your repo and watch the agent assemble itself.
Connect your code repository — any git provider works. From here, Faustine keeps the agent in sync with your code.
Faustine analyzes your codebase and discovers what your app can do — its modules, its actions, how it authenticates.
Modules discovered
Every action becomes a tool the agent can call. Open any of them, read it, edit it — nothing is hidden behind a prompt.
createCustomer()updateCustomer()refundOrder()openDashboard()every tool maps to real behaviour in your code
Paste a script tag into your index file. That's the whole integration — no SDK to learn, no backend to change, nothing to rebuild when the agent evolves.
Publish, and the agent operates your app for real users — with governance, limits, and logging already underneath.
Refunded $128.00 to Ana Ruiz. The order is now marked refunded.
Repo to working agent: the same day
An agent isn't a prompt with your docs stuffed into it. It's a set of real tools, each one derived from an action your code already implements.
The feature sets Faustine finds in your repo.
What a real user can do inside each module.
One inspectable tool per action. This is the agent.
createCustomer()updateCustomer()refundOrder()openDashboard()Open any tool and see exactly what it will call.
An IDE-grade editor, your cloned repo read-only beside it.
Drafts and published versions. Serving is never mutated by accident.
Two things happen the day after launch: your code moves, and you start wanting the agent to do things your code can't. Both are already handled.
Faustine re-analyzes on every push. If a change breaks a tool, it's flagged with a proposed fix — you accept it with one click. The agent never falls behind your app.
re-analyzing · automatic on every push
Authentication tool
out of date · 1 stale
Some capabilities live outside your repo — an internal service, a partner's API. Write those tools by hand and the agent treats them exactly like the generated ones.
refundOrder()from codecheckInventory()customReach anything
custom tools are governed, versioned, and logged like the rest
These are the frameworks Faustine understands today — and the list keeps growing.
Don't see your framework? Tell us — the analyzer is extensible.
The hard parts of running AI in production come with every agent, on by default.
Book a demoSwap models and providers with no redeploy and no code change.
Prompts are compressed automatically before they reach a provider.
Rate limits and quotas keep the agent well-behaved at any scale.
Every call is logged end to end, with a latency breakdown.
Launch without building an AI team or maintaining the agent infrastructure yourself. Point Faustine at your codebase and the agent assembles itself.