TechWolf just shipped LAIQA (“Live AI Quality Assurance”), a lean microservice that measures the accuracy of our skills‑AI and, more importantly, validates the event‑driven backbone that will replace our aging monolith.

What we built

• Pub‑sub at the core. The Skill Engine API now fires employee‑updated / employee‑deleted events to Amazon SNS; LAIQA consumes them via SQS for fully asynchronous processing.
• Three serverless Lambdas, one weekly Bedrock job. One Lambda ingests events, a second triggers batch inference, and a third publishes QA metrics to CloudWatch + Grafana.
• Pragmatic fixes that matter. We dropped Aurora Serverless v2 for PostgreSQL after real‑world scaling hiccups, and enforced single‑responsibility, tight time‑outs, and DLQs on every function.
• Everything as code. Terraform lays the foundation; AWS SAM wires the serverless stack; embedded CloudFormation glues SNS➜SQS➜Lambda. Result: reproducible, environment‑agnostic deploys.

LAIQA isn’t just an internal tool, it’s the working blueprint for how TechWolf will ship every new capability: small, event‑driven, infrastructure‑as‑code, measurable from day one. Expect shorter release cycles, sharper analytics, and a skills engine that keeps pace with your business.