Production products, shipped in weeks.
Built with Claude Code.
Not AI hype. A real engineering method: specs first, Claude Code implements, a senior engineer gates every line on auth, money, and security.
Three of our own products prove it. They are in production. Read the case studies, and open the live product.
Diagram: our delivery pipeline. A written spec, then Claude Code implements against it, then a senior engineer gates auth, money, and security, then ship.
Fast because the method is real,
not because we cut corners.
The reason most AI-built software is unsafe is that nobody specs it and nobody reviews it. We do both. The AI removes the typing bottleneck. The senior engineer keeps the standards.
Spec first
Every feature gets a written spec before any code exists. The architecture, the data model, the edge cases, the auth boundaries. The spec is the contract.
Claude Code implements
Claude Code builds against the spec, driven by our own ecosystem of 20+ custom skills that handle scaffolding, tests, PR review, and security scans.
A senior engineer gates every line
An engineer with 10+ years reviews everything, with hard gates on auth, money handling, and security. The judgment stays human. Nothing ships unreviewed.
AWS-native, production-grade
The same serverless stack and standards we use for client work: Lambda, DynamoDB, EventBridge, Terraform, real test suites, real CI. A team’s six-month build, shipped in weeks.
Three products. In production. Built this way.
Not slides. Real products with real users, each shipped in days or weeks.
CostPatrol
AWS cost anomaly detection SaaSShipped in 2 weeksScans AWS accounts daily across 123 rules over 30 services, flags anomalies within 24 hours, and delivers the exact fix command with a dollar amount to Slack. Serverless on Lambda, DynamoDB, SQS, and EventBridge. Stripe billing, CloudFormation onboarding in 5 minutes, read-only access.
VowTrust
Institutional deal verification platformWeeks, not the usual six monthsDual-mode verification for banks, lawyers, and SMEs. Express runs six parallel compliance checks across five providers in 15 to 45 seconds and scores 0 to 100. Institutional puts human mediators in role-based, invite-only deal rooms. Strict lifecycle state machine, immutable audit trail, exportable certificates. Next.js, Lambda, PostgreSQL, Terraform.
Boody
AI nutrition coach on WhatsApp and TelegramConcept to live users in 3 daysA self-hosted Qwen3-VL 32B vision model reads food photos and returns calories, protein, and a normalized name. Ollama on local Apple Silicon for the pilot, vLLM on cloud GPUs in production. A 4-layer memory system (SQLite, LanceDB embeddings, weekly AI coach notes, recent context) makes it feel like a real coach. Roughly $0.001 per interaction versus $0.01 to $0.05 for API-based competitors.
Questions a skeptic asks.
Yes. Claude Code implements against a written spec, and a senior engineer reviews every line with hard gates on auth, money, and security. The AI does the typing. The architecture and judgment stay human. This is how CostPatrol, VowTrust, and Boody were built.
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