Evergreen

AI Creation Workspace Decision Record

Choose the least complex workspace that still provides enough context, direct control, review, collaboration, versioning, testing, data protection, and durable ownership

Aug 4, 20262 min readBy Dalton Anderson
In this article

AI Creation Workspace Decision Record

Decision rule

Choose the least complex workspace that still provides enough context, direct control, review, collaboration, versioning, testing, data protection, and durable ownership for the current artifact and consequence of error.

Category map

CategoryIntended stageCanonical handoff
Conversational chatDisposable exploration and alternativesCanvas, file, notebook, or task record
Editable AI canvasDirect iteration on a visible artifactEditorial file, design file, notebook, editor, or repository
Design workspaceLayout, components, assets, and visual reviewApproved export and publishing system
NotebookReproducible analysis and experimentsReviewed pipeline, report, or application
Local editorDirect file and code controlProduction repository
Production repositorySource review, tests, builds, ownership, and release historyAuthorized deployment
Content-management systemCanonical public copy and governed releasePublished surface and revision record

Required questions

The decision record names the artifact, reader or user job, consequence if wrong, canonical owner, context, edit granularity, reviewers, collaboration roles, versioning, recovery, tests, data classification, selected workspace, handoff trigger, destination, and owner.

Source boundary

Gemini Canvas is a dated example of the editable-canvas category. Its current documentation supports direct editing, preview, recent changes, sharing, and export. It does not define every canvas or guarantee the selected account's behavior.

OWASP and WCAG establish why production code and final web accessibility need environments and qualified review beyond a visual preview.

The Gemini Apps Privacy Hub demonstrates why data treatment depends on the actual product, account, settings, region, and agreement.

Sources

Follow the evidence.

  1. policies.google.com: use policypolicies.google.com
  2. open.spotify.com: 4O0DCv9Na8StBZnoXJlZ1bopen.spotify.com
  3. workspaceupdates.googleblog.com: introducing canvas for the gemini appworkspaceupdates.googleblog.com
  4. Gemini Apps Privacy Hubsupport.google.com
  5. ai.google.dev: image generationai.google.dev
  6. blog.google: gemini collaboration featuresblog.google
  7. daltonanderson.ghost.io: googles new ai gemini canvas consistent image modelsdaltonanderson.ghost.io
  8. youtu.be: qoGIyz0azwwyoutu.be
  9. support.google.com: 16047321support.google.com
  10. ai.google.dev: modelsai.google.dev
  11. Gemini API changelogai.google.dev
  12. blog.google: google gemini ai update december 2024blog.google
  13. w3.org: WCAG22w3.org
  14. NIST Generative AI Profilenvlpubs.nist.gov
  15. spec.c2pa.org: aboutspec.c2pa.org
  16. daltonanderson.net: googles new ai gemini canvas consistent image modelsdaltonanderson.net
  17. copyright.gov: aicopyright.gov
  18. cheatsheetseries.owasp.org: Secure Code Review Cheat Sheetcheatsheetseries.owasp.org

From this episode

Two useful next steps.

Evergreen · 1 min

What Gemini Canvas Is and When to Use It

Gemini Canvas is an editable workspace inside Gemini Apps for documents, apps, slides, and code. Learn how it differs from chat, APIs, and production tools.

Guide · 1 min

How to Review AI-Generated Assets Before Publishing

Review AI-generated text, images, and code for truth, sources, rights, consent, privacy, security, accessibility, provenance, approval, and final-channel behavior.

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