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

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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