Question 1

Does this use AI to analyze my architecture?

Accepted Answer

No. It runs your answers through a fixed set of rules built from common architecture failure patterns — the same mismatches that show up repeatedly in production AI systems. That keeps the output consistent and explainable rather than a black-box guess.

Question 2

What counts as 'unnecessary complexity'?

Accepted Answer

Architecture that outpaces what the workload actually requires — multi-agent orchestration for low volume, a real-time pipeline for a trickle of traffic, multiple retrieval sources with no way to tell which one answered a query.

Question 3

I got a good score. Does that mean I'm production-ready?

Accepted Answer

It means your architecture is well-matched to what you described. Run the AI Production Readiness Assessment for a deeper check across evaluation, reliability, security, and operations.

Question 4

What if none of the options exactly match my setup?

Accepted Answer

Pick the closest fit for each field. The rules key off the underlying tradeoffs — orchestration complexity, data freshness, state persistence — not exact tool names.

Question 5

What happens after I get my recommended architecture?

Accepted Answer

The flagged risks map to specific next steps. If the gaps are structural rather than a quick fix, that's what AI Systems Engineering and Agent Engineering cover.

AI Architecture Review

About the Assessment