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Deployment workflow

Cloudflare AI Deployment Workflow

A practical sequence for launching AI Playgrounds, Workflows, Tools, and generated content on Cloudflare with minimal operations.

View stack detailsGenerate product plan
Phase 1

Static product surface

Ship the page first with Next.js and Cloudflare Pages. Keep the first version deterministic and cache-friendly.

Phase 2

Edge API boundary

Move generation, submissions, sponsor leads, and result creation into Workers only after the UI proves useful.

Phase 3

D1 data model

Store structured records: playground runs, generated pages, sponsor leads, submissions, and workflow requests.

Phase 4

Workers AI generation

Use Workers AI for constrained generation tasks after prompt templates and output schema are stable.

Phase 5

KV/R2 assets

Use KV for public snapshots and R2 for generated images, exports, screenshots, and downloadable packs.

Phase 6

Cron review loop

Run weekly update jobs, then require human approval before publishing important generated content.

Small-team rule

Do not add persistent storage, AI generation, or paid flows before the static MVP proves that users understand the result and click the next action. This keeps richbay.ai low-support and Cloudflare-friendly.