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This section gets you to first value fast: project setup, diagram generation, and AI-assisted validation.

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Why it matters

A quick and correct first run makes every later workflow easier, especially report generation and CI checks.

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Quick example

cloudeval login
cloudeval ask "Summarize this architecture in 5 bullets" --project <project_id>
Expected output: A short architecture summary scoped to your selected project.

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Step-by-step instructions

  1. Complete Installation.
  2. Run Quickstart Workflow.
  3. Build Your First Diagram.
  4. Use AI Chat Basics.
  5. Optional: run CLI Quickstart.

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Code examples

# Non-interactive answer for automation
cloudeval ask "List internet-facing resources" --project <project_id> --json

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Expected output

  • You can open a project and inspect generated architecture.
  • AI chat answers are grounded in project context.
  • CLI commands run with either device login or API key.

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Common mistakes

  • Skipping project scoping in CLI commands.
  • Using very large templates for first run.
  • Not validating current feature status before relying on an advanced flow.

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Tips / best practices

  • Start with one small, representative template.
  • Use clear prompt structure: objective, scope, output format.
  • Bookmark Feature Availability while onboarding.
Last modified on March 5, 2026