AWS Startup Advisor pre-fills what it already detected (framework, multi-agent, model provider) and asks only what it cannot infer. Each question carries a safe default (the pre-filled answer it applies if you do not respond), so the flow never stalls. The questions are adaptive and multiple-choice:
Q1 - What matters most for the LLM model choice? (Gemini today; on AWS the natural target is Amazon Bedrock.) > A) Best quality / reasoning B) Fastest speed C) Lowest cost > D) Specialized capability E) Balanced [selected]
Q2 - How do you want to run the agent on AWS? > A) Fully managed (rebuild on the platform) > B) Bring my framework (run my existing code) [selected, recommended]
Q3 - How long does a typical research task run end-to-end? > A) < 15 min B) 15 min to 8 hr [selected] C) > 8 hr
Q4 - How much of the ops do you want to own? > A) Minimal B) Moderate [selected] C) Full control
Q5 - What traffic shape do you expect? > A) Steady / continuous [selected] B) Bursty / spiky C) Rare
The remaining questions covered state model (stateful), cross-conversation memory (session-only), tenant isolation (nice to have), compliance (none), and region (single). Anything the code already answered was shown pre-filled, so this run took a handful of clicks, not a lengthy questionnaire.
