Architecture Review (AI / Backend / Systems)

This session is a deep technical architecture review of your product or system.

We’ll walk through your current architecture (AI, backend, infra, data pipelines, or edge systems), stress-test key decisions, and identify:

1. Scalability & reliability risks
2. Performance bottlenecks
3. Cost & complexity traps
4. Gaps between MVP and production readiness

You’ll leave with concrete recommendations, not vague advice — what to fix now, what to defer, and what to completely avoid.

This is especially useful if you are:

1. Moving from MVP → production
2. Scaling users, data, or traffic
3. Running real-time or ML-heavy systems
4. Feeling “something is off” but can’t pinpoint it

What we can review

1. System & service architecture (monolith vs microservices)
2. AI / ML pipelines (training, inference, metrics)
3. Edge + cloud architecture
4. Data flow, queues, and event systems
5. Infra, Docker, cloud setup, reliability
6. Security & auth flows (tokens, gateways, websockets)