Collaudo's AI writes real Python or TypeScript for the job, rehearses it against your store with every write held, and shows you exactly what would change. You approve. Then, and only then, it runs.
Tell it what you want: "Reprice everything under an 18% margin, skip products with no cost set."
Python or TypeScript: same logic either way. Real libraries, real control flow.
The code runs against your store with every write held. You read the mutation report.
Only after a passing dry run. Then it runs on your schedule, your events, or on demand.
A dry run is not a simulation. The automation really runs, against your real catalog, but every write to the Admin API is intercepted and recorded instead of executed.
Backup, test on 10, test on 100, then run — the workflow experts and AI assistants recommend doing by hand is what Collaudo does automatically.
The structural difference from Shopify Flow: loops over the entire catalog, bulk operations on hundreds of thousands of products, external HTTP calls, arbitrary logic.
Cron under the hood, plain language on top. You always see when the next run fires.
Next run: tomorrow, 06:00 CET18 events via webhooks: products, collections, inventory, orders, refunds, customers, draft orders, fulfillments and more.
order/created → runA Run now button for one-off jobs and for testing changes right when you make them.
Run nowAI-written code touching a live store should be held to a higher bar than human-written code. It is.
Deploy stays locked until a dry run has passed. Not a policy, a product mechanic.
Dangerous operations are blocked on the server, not just hidden in the UI.
Each automation asks only for the API scopes it actually needs, when it needs them.
An automation that starts misbehaving is paused automatically, and you get an alert.
Every change to the code is versioned. Restore any earlier version in one click.
Your automations run sandboxed on AWS in the EU.
Collaudo is the safe way to let AI work on your store.
Verdicts explain themselves: retry, edit, or roll back to a previous version.
On install, Collaudo scans your catalog and proposes fixes on the spot: products with missing costs, sold-out products still active.
Tagging, pricing, inventory, SEO, catalog hygiene, orders & customers. Every one dry-runs first, like everything else. Browse the gallery →
A dry run is a full rehearsal of your automation against your real store data, with every write captured and held instead of applied. The code really runs: it reads your actual catalog, computes every change, and produces a mutation report of what would change, item by item, and what it deliberately skipped. Nothing touches your store until you read that report and approve it. This matters because Shopify has no built-in undo for bulk edits, so you have to get it right the first time. The dry run is how you get it right, by seeing every change before anything goes live. Deploy stays locked until a dry run has passed, so it is a product mechanic, not a policy you can forget.
Yes. The Python or TypeScript Collaudo writes runs against your real catalog and computes every change with real logic. The only difference from a live run is that every write is captured and held instead of sent to Shopify, so you see the exact result before anything changes. You approve the mutation report, then the same code runs live.
Six layers sit between the AI and your store. Deploy stays locked until a dry run passes. Destructive operations are blocked on the server, not just hidden in the UI. Each automation gets only the API scopes it needs. An automation that misbehaves auto-pauses and alerts you. Every code change is versioned and restorable in one click. And everything runs sandboxed on AWS in the EU.
On a schedule you set, with the next run time always shown. On any of 18 store events through webhooks, from products and inventory to orders and refunds. Or on demand with a Run now button. A dry run has to pass before any trigger can deploy, so the safety gate holds no matter how the job is started.
AI writes real Python or TypeScript, a dry run rehearses it, you approve, it deploys.
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