A strong AI-assisted product workflow separates drafting, approval, publishing, and sending. Each stage should leave evidence so the owner stays in control.
Useful idea: A strong AI-assisted product workflow separates drafting, approval, publishing, and sending. Each stage should leave evidence so the owner stays in control.
Practical AI-building lesson: Use AI as the operator, but keep the human approval gate explicit. The system can draft, sync, publish, and send, but the owner should approve the moment where private work becomes public or subscriber-facing.
Reading Room note: This test proves that a newsletter edition can become a Reading Room Field Note while the separate Reading Room Posts database remains available for article-only publishing.
Class / workshop note: For students, this is the same principle as the SF Standard: AI can lead the heavy work, but the student approves, redirects, and asks for proof before the system moves forward.
Try this prompt: Help me turn this draft into a publish-ready field note. First summarize the intent, then check what is missing, then recommend whether I should approve, revise, or hold it.