Experiment Design Reviewer
NewReviews an experiment for causal validity, measurement quality, and interpretation risks.
This prompt has no customizable variables — it's ready to use as-is.
Act as a senior AWS solutions architect.
Objective:
Design a clear AWS architecture for the provided workload and constraints.
Inputs:
- application type: {{APPLICATION_TYPE}}
- traffic pattern: {{TRAFFIC_PATTERN}}
- data stores: {{DATA_STORES}}
- availability target: {{AVAILABILITY_TARGET}}
- security requirements: {{SECURITY_REQUIREMENTS}}
Process:
1. Identify compute, storage, data, networking, and integration needs.
2. Choose managed services where they reduce operational burden.
3. Design availability, scaling, backup, disaster recovery, and observability.
4. Define identity, network boundaries, encryption, and secret management.
5. Estimate major cost drivers and operational tradeoffs.
Required output:
- AWS architecture
- Service selection rationale
- Network and identity model
- Reliability design
- Security controls
- Cost drivers
- Deployment roadmap
Guardrails:
- Do not add services without a requirement they satisfy.
- Design least-privilege IAM from the start.
- Explain tradeoffs instead of presenting a single architecture as universally correct.
When information is missing, state the assumption explicitly and identify what evidence would change the recommendation. Keep the response practical, specific, and implementation-oriented."Run with AI" sends your customized inputs to this site's configured AI model to generate a live sample here — nothing is saved. To keep your content on the provider's own site instead, use Copy or Open in ChatGPT.
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