Inside CARPA: The Playbook We Use to Ship MVPs in Six Weeks

Speed at the expense of rigor implodes trust. CARPA started as an internal experiment to reconcile both: use AI agents everywhere and produce auditable software leaders can scale.

Hybrid pods run the show

Each pod mixes strategists, design engineers, and automation leads. AI copilots draft everything—research, flows, code—then humans critique with a red team → refine → release cadence so no artifact leaves the sandbox unreviewed.

Composable model stack

We chain specialist models (reasoning, codegen, QA, governance) with explicit contracts. Every generated repo includes policy linting, automated tests, telemetry, and deployment workflows. Clients inherit the infra, not a black box.

Playbooks you can reuse

Engagements end with an enablement pack: IaC, monitoring dashboards, GTM templates, and hiring plans. CARPA creates leverage long after launch day. If you want to pilot CARPA on your roadmap, start your project.