Safe product tour · scripted data
Watch one request become a governed release.
Choose the context, inspect evidence, coordinate dependencies, approve the exact action, and preserve proof. The tour is interactive; no account or cloud access is required.
01 · Select context
Ask with the repository already attached.
Choose a repository, branch, and environment. Axiom carries that context into the conversation, so operators do not have to write identifiers into every request.
Axiom Agent · simulated workspace
guardrails onFix the timeout handling and prepare it for development.
Axiom has attached acme/payments-api, branch main, and Development · dev. No identifiers to retype.
Scripted sample data. No cloud account, repository, AI credits, or deployment is touched.
Explore every safe demoImplemented workflows
See exactly where Axiom acts—and where it waits.
These paths map to released desktop and service behavior. The visuals use scripted data and never touch a live customer system.
Prepare a repository change
Select a GitHub repository, branch, file, and environment. Axiom reads through repository-scoped access, then pauses the proposed write for approval.
GitHub · approval gated
Gate delivery on an Airflow DAG
Choose a validated DAG, monitor its run, evaluate dependencies, and create an auditable deployment proposal when the configured condition is satisfied.
Airflow 3 · automated condition
Deploy to AWS ECS with recovery armed
Dispatch the tenant workflow with short-lived GitHub OIDC credentials, wait for ECS steady state, and roll back inside the authenticated job if stability fails.
AWS ECS · GitHub OIDC
A safe demonstration, not a hidden control plane.
No connector credentials are stored, no webhooks fire, no AI credits are spent, and no production action can run from this website.