AI tools & process
A repeatable delivery pipeline where AI supports strategy, content, implementation, and QA.
Each step produces a concrete artifact: audit notes, page copy, diffs, and a published release.
The workflow stays calm and transparent: a single decision path, visible handoffs, and documented outcomes.
Selitä tämä sivu / Explain this page
Kenelle / For who
Seuraavaksi / Next clicks
Pipeline
Four steps that repeat across every delivery.
1. Orchestration
ChatGPT Plus + memory drives strategy, outlines, and decisions. The outcome is a clear brief and priorities.
2. Content production
ChatGPT deep research → AI Studio. Outcome: content pack, PDF outline, and site-ready copy.
3. Implementation
Codex produces a repo diff, updates multiple files, and commits the change set.
4. QA
AI Assistant dev drawer + Gemini analysis review content and UX, producing concrete improvement notes.
Artifacts
What each step leaves behind.
- Prompts: copy-paste prompt blocks for reuse.
- PDF materials: condensed content and presentation outline.
- Diffs: clear change list and commit history.
- Release: published page + short release note.
Copy-paste prompts
Short prompts that move content from one step to the next.
ChatGPT research — content pack
Goal: a compact content pack with audience, key message, and outline.
Create a content pack for the AI tools & process page. Include: audience, key message, 4-step pipeline, artifacts, CTA. Keep it concise and factual.
AI Studio — site-ready text + PDF outline
Goal: site-ready copy and a PDF outline.
Turn this content pack into website copy. Also create a PDF outline: cover, summary, pipeline, artifacts, CTA. Keep the tone calm and minimal.
Codex — diff + release note
Goal: repo diff and short release note.
Implement the changes as a repo diff. Update all required HTML/JSON/CSS files. Add a short release note to README or release-notes section.
Next step
Want to see the outputs in practice? Demo Lab has finished examples and contact is one message away.