You don't need engineers, agencies, or six-month timelines to build the software that runs your business. You need a conversation.
For two years the limit on AI-built software was a person to review it and press deploy. Jerry closes that loop himself — he builds, tests, fixes what review finds, and ships. Last month 97% of everything that reached production went out without an engineer touching it.
Jerry compiles, type-checks and runs the test suite on his own work. A red build is his problem to fix, not yours to discover.
Automated review runs against every change. When it flags something, Jerry corrects it and pushes again — the round trip happens without a person in it.
In July, 476 of 490 production releases were made by Jerry. Fourteen were a human merging by hand. That's 97% going live with no engineer in the loop.
If something genuinely needs a human — a vendor contract, a credential only you can grant — Jerry says so in plain English instead of failing quietly.
Eleven of these are live in production today. You keep your own vendor relationships — your Encompass account, your pricing contract, whatever you already have. All we need is an API key. The integration itself is already built and maintained, so connecting a system is a one-time handoff, not a project.
And that key never goes into your app. It's stored on our side, encrypted, and used server-side when your software makes a request — so it can't leak out of your code, show up in an error message, or walk out the door with someone. One key, handed over once, kept somewhere built to hold it.
A private component registry Jerry pulls from — pipelines, data tables, dashboards, forms — installed into your app in one step and then styled to your brand. Interface only: no hidden math, no data wiring, nothing to untangle later. The parts that are the same for everyone come off the shelf, so the build time goes into the parts that are yours.
For engineering teams and agencies who want the controls. Neo drives a wall of live Claude Code sessions — building, testing, reviewing, and shipping in parallel — inheriting your team's rules. We run it at up to 16 agents at once on a single codebase. Sixteen things at a time, without sixteen more engineers.
Pick a layout — 1, 2×1, 2×2, 3×3 and beyond. Each pane is its own Claude Code session that keeps state and history, auto-reconnects on drop, and can be dragged, labeled, and color-coded.
Talk to Neo in any pane. It works against your repo in an isolated workspace — editing, building, testing, committing, and pushing to a PR, with full logs and diffs the whole way.
Run a dozen-plus agents on one codebase at once. Each worker gets its own isolated clone, and landing work rebases onto whatever shipped while it was busy — so parallel agents never overwrite each other's results.
Overnight, supervisor agents read the day's transcripts and commits and surface ranked recommendations — new rules, tighter permissions, docs — with one-click actions.
Wire your databases, APIs, and custom tools into every agent over the Model Context Protocol — local or remote, with encrypted credentials.
Every agent automatically inherits your org, company, and project rules — so a whole wall of sessions builds the way your team does.
Approving an agent's action used to get more expensive the more agents you ran — the thing that quietly caps every matrix. We cut the cost of a pending approval by 15×, so eight running at once now costs less than one did.
Token usage and approximate spend broken out by user and by project, so a wall of agents is a line item you can actually read instead of one number at the end of the month.
Workspace hosts keep themselves current and report their own health — a dead token or a crash loop surfaces as an alert instead of an agent that mysteriously stops answering.
Reasonable. Here are the answers, without the hedging — if any of them made you uncomfortable we'd rather you find out now than six weeks in.
Nothing reaches production without passing a build and a test run, and every change goes to a live preview first — so you see it before your customers do. If something does get through, going back is a redeploy of the previous version, not a rescue operation. It's ordinary software with ordinary version control underneath; the agent didn't replace any of that.
You do. It's a normal repository full of normal code — TypeScript, SQL, the same stack a developer would hand you. No proprietary runtime, no generated black box, nothing that only works while you're paying us. If you walked away tomorrow you'd walk away with a working application and its full history.
In your own database, under your own account. Fabric orchestrates the work; it isn't a place your customer records go to live. Vendor API keys you give us are stored encrypted on our side and used server-side, which is what keeps them out of your codebase and your build logs.
Yes, and plenty of customers do. It's a git repository — your team can read it, branch it, review it and push to it like any other project. Jerry is a very productive contributor, not a gatekeeper.
Then you say so, the same way you would to a person, and it gets fixed and re-shipped. That loop is the fast part — the whole reason iteration matters is that being wrong is cheap to correct. When something genuinely needs a human decision, it says so rather than guessing.
Every prompt, command, response and tool call is written to an append-only transcript, per user and per project, with secrets redacted. It's queryable. That's the difference between answering a compliance question and reconstructing one.
Three engineers, working with a fleet of AI agents, ship everything you see here — our own numbers from last month, pulled live from the GitHub and Anthropic APIs. The best proof it works is that we run the whole company on it.
Every statistic on this site is real. Development figures are pulled live from the GitHub API; token & cache numbers from the Anthropic Admin Usage API. Nothing fabricated.