A working demo environment for Clerk auth, Stripe test checkout, credits, jobs, ledger events, and controlled execution flows.
This site is also a working system.
Sign in, run jobs, buy test credits, and inspect the flow. Every metric below is from this live demo environment — not a mock, not a slide.
All metrics from this live demo environment · uptime 8h
Every step is real.
No mocked data. No fake flow. Clerk authenticates. Stripe processes. Backend writes. Ledger records.
What I build.
Production-style backend systems, auth/payment flows, orchestration runtimes, and reliability-focused infrastructure.
Authentication & Authorization
Clerk JWT verification, protected routes, session management, and auth boundary enforcement.
Stripe & Billing Systems
Checkout sessions, webhook verification, credit grant flows, and test-to-production parity.
Backend APIs & Services
FastAPI/Python backends, typed contracts, structured error responses, and health observability.
Job Execution & Queues
Job dispatch, credit deduction, retry budgets, execution state tracking, and terminal reports.
Audit Trails & Ledgers
Immutable event records, credit ledger, execution history, and queryable audit evidence.
Deployment & Observability
Docker Compose stacks, env hygiene, healthchecks, rollback procedures, and pre-release audits.
AI-Assisted Engineering
Bounded AI execution loops, operator-controlled runtimes, structured outputs, and evidence trails.
Reliability & Verification
Gate policies, clean-clone coherence, secrets hygiene, and operator-readable release evidence.
What this means in practice.
Clients buy reduced risk, faster debugging, and clear proof — not abstract orchestration language.
Launch safer.
Auth, billing, credits, and jobs are verified before users touch them. Known boundaries before go-live, not discovered afterward.
Debug faster.
Every meaningful action leaves a trace: job state, ledger event, webhook result, runtime status. No forensic archaeology when something breaks.
Ship with rollback.
Changes are scoped, auditable, and reversible. Not "pray and deploy" — a structured path from commit to production with a defined way back.
Use AI without chaos.
AI can accelerate engineering work, but the system — not the model — decides what is allowed to reach production. Bounded execution, not unconstrained output.
RailTaskLite: rails for controlled AI execution.
A bounded runtime for AI-assisted engineering: batches, audits, gates, artifacts, rollback, and evidence. One operator decision point. Zero silent failures.
Auditable.
Shippable.
Auditable.
Shippable.
A green test suite is not
a release-ready artifact.
Clean-clone coherence, secrets hygiene, auth boundary enforcement, payment isolation — these are not tested by your unit suite.
Rollback that exists only in a runbook is not rollback. It must be scoped, documented, executable under pressure, and verified before the release.
When something breaks at 2am, the operator needs a structured record: what ran, what produced it, what gate it passed, and how to undo it.
The lesson: systems fail at boundaries, not slogans.
Every execution is recorded.
Structured event logs capture each stage transition. Immutable audit records survive rollback and remain queryable after the session closes.
Nothing ships without a gate.
Every artifact must pass the audit gate before promotion. Gates are typed policies enforced at the runtime layer — not manual steps subject to human error.
Sessions are reversible by design.
Rollback is a first-class operation scoped to a session boundary. Undo what was dispatched without touching what was not.
Need a system that proves it works?
Backend infrastructure, payment and auth flows, AI runtime orchestration, and reliability reviews. See the live demo first — then talk.