Structured project brief
Capture what the user is building, provider, region, budget, scale, priority, and security constraints before generation.
CloudDesignAI is designed to help users understand and act on a cloud plan. The product focuses on the workflow users actually need: capture constraints, generate architecture, review cost and risk, inspect implementation artifacts, and export deployment files safely.
Capture what the user is building, provider, region, budget, scale, priority, and security constraints before generation.
A saved project contains overview, architecture, sequence, cost, Terraform, CLI, risks, deploy, and version tabs.
Monthly budget and expected usage are part of the generation context, so the recommendation can warn about cost pressure.
Generated architecture can produce Terraform artifacts for review and implementation planning.
Users who prefer operational steps can review provider-aware CLI setup guidance.
Deployment export creates a GitHub-ready Terraform package with plan/apply workflows and OIDC setup guidance.
Each serious output is framed with assumptions, risks, confidence, tradeoffs, and review reminders.
Users can regenerate, compare, restore, and branch architecture versions as the project changes.
Follow-up questions can be answered with the saved architecture spec as context.
The product should keep earning trust by turning every public claim into a visible workflow inside the app.
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