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Built for trust

A complete cloud architecture workspace, from brief to reviewable deployment package

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.

Structured project brief

Capture what the user is building, provider, region, budget, scale, priority, and security constraints before generation.

Solution Mode now creates a real project workspace and carries the brief into the generator.

Architecture workspace

A saved project contains overview, architecture, sequence, cost, Terraform, CLI, risks, deploy, and version tabs.

The project page stores every run and lets users inspect outputs from multiple angles.

Budget-aware planning

Monthly budget and expected usage are part of the generation context, so the recommendation can warn about cost pressure.

Budget and user-volume fields are passed into the architecture generation request.

Terraform output

Generated architecture can produce Terraform artifacts for review and implementation planning.

Terraform materialization is available through the architecture artifact workflow.

CLI commands

Users who prefer operational steps can review provider-aware CLI setup guidance.

CLI artifacts are generated from the same saved architecture spec.

Safe deployment export

Deployment export creates a GitHub-ready Terraform package with plan/apply workflows and OIDC setup guidance.

The deploy workflow avoids storing long-lived cloud access keys.

Trust-first review

Each serious output is framed with assumptions, risks, confidence, tradeoffs, and review reminders.

The generation output includes confidence, risks, assumptions, and production-readiness cues.

Versioned decisions

Users can regenerate, compare, restore, and branch architecture versions as the project changes.

Runs store version labels and parent/root metadata for branching workflows.

Grounded follow-up help

Follow-up questions can be answered with the saved architecture spec as context.

The architecture chat and ask endpoints load the selected run before answering.

The promise is practical: help users create a cloud plan they can understand, review, and safely move toward deployment.

The product should keep earning trust by turning every public claim into a visible workflow inside the app.

Create a Real Workspace