Claude Sonnet 4.6
4/5Serverless first for early or spiky products
A public replay of the Model Council workflow: prompt, independent answers, critique, stance changes, and a final decision artifact.
Compare a serverless architecture against a container-based architecture for this product.
The models split between serverless-first, conditional hybrid, and container-first positions.
Serverless first for early or spiky products
Conditional, with hybrid as a common end state
Pick based on scaling, cost, performance, velocity, and lock-in
Initially container-first for non-trivial products
The strongest result was not a single model winning. It was the council narrowing the decision to constraints that matter.
Serverless is strongest for early, spiky, short-lived workloads.
Containers win only when sustained traffic, latency, or runtime control justify operations.
Serverless containers are the pragmatic bridge between functions and full Kubernetes.
Serverless is strongest for spiky traffic, small teams, short-lived tasks, and early-stage products because it reduces operations and scales to zero.
Containers win for sustained high-throughput workloads, latency-sensitive systems, long-running jobs, stateful services, and strict runtime control.
Consensus is not truth. A council run makes disagreement, assumptions, and decision criteria visible.