Looks done.
Doesn't mean it's trustworthy.

We read the system like a code review: targeted checks that surface what will break, leak, or cost you under real usage, not theory, not a slide deck.

Context

AI gets you to a working demo fast. It does not tell you whether auth is real, payments fail quietly, or your deploy path survives traffic. Most teams know something is off; they do not know what matters first.

What we do

We walk the codebase, infra, and critical paths and give you a straight ranking of production risk: what is solid, what is pretending to be solid, and what to fix before you bet on real users.

What we look at

  • Auth, sessions, and permissions: what actually holds up
  • Payments, webhooks, and money paths
  • Data model, constraints, and integrity edges
  • Deploys, environments, and operational gaps
  • Where cost and scale will surprise you
  • Structure only where it affects reliability

Good fit if

  • You shipped with AI and need someone to tell you the truth before launch or a big moment
  • The UI works; you are not sure the foundation does
  • You want clarity before you throw more features at the problem

What you walk away with

  • A ranked list of real risks, not generic warnings
  • Concrete fixes you can act on
  • Enough confidence to know what you are signing up for

Related

If this fits

Fill out the form below. We will read it and follow up in plain terms: no funnel, no pitch deck.

Service

Build Audit

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