What are the seven fields in the change history?

Change date and owner, target workflow, before and after, reason for the change, source of truth, reviewer and review date, and stale surfaces with next review. Each field has a stated reason for not leaving it blank.

Where should the change history be stored?

The guide says there is no need to build a dedicated system at first; the same columns can go into an existing repository, spreadsheet, or internal wiki.

AI Business & IndustryZenn AI/ML2d agoOct 20, 2026, 13:00 JST

Miraigent: one 7-field log to hand off AI operations

Send on LINE

3 Key Points

What happened
Miraigent laid out a minimal setup: a seven-field change history — change date and owner, target workflow, before/after, reason, source of truth, reviewer and review date, stale surfaces and next review — recorded in an existing repository, spreadsheet, or internal wiki, with a sample entry CHG-2026-08-16-001.
Why it matters
Recording only the change in chat or commits leaves the next owner unable to separate what should be used now from past judgment calls, so the history is framed as a handoff aid rather than a commemorative log.

Not sure about something? Ask the AI

Questions and answers are published on this page.

Summaries like this, in your inbox every morning.

Get news like this every morning, free

Context & Analysis

The guide starts from a familiar failure mode: as AI answer quality is improved, prompts, FAQs, intake forms, reviewers, and target workflows change little by little. If only the change itself is left in chat or commits, the next person cannot tell the currently correct information from past decisions. The proposed fix is deliberately small — a shared set of columns rather than a new system.

The division of labor is the substance of the argument. AI can summarize diffs and surface blank-field candidates, list related links and templates that may be stale, and draft the history; humans confirm the facts and the reason. Publishing, the scope of disclosure, and the actual reflection of changes are not delegated in principle, and changes touching contracts, pricing, personal data, complaints, or external publication are not auto-approved. A change is also not treated as published until a source of truth is fixed; without one, it is held in a state such as needs_source.

The guide closes by reframing the record: a change history is not a log for commemorating changes but a decision aid so the next owner can safely resume. It suggests that if the history keeps coming up empty, the question to examine is which change event to use as the starting point, not where to record it — and asks which workflow saw the most AI-related changes in the last 30 days.

FAQ

What are the seven fields in the change history?: Change date and owner, target workflow, before and after, reason for the change, source of truth, reviewer and review date, and stale surfaces with next review. Each field has a stated reason for not leaving it blank.
Where should the change history be stored?: The guide says there is no need to build a dedicated system at first; the same columns can go into an existing repository, spreadsheet, or internal wiki.
What should not be handed to AI?: Publishing and reflecting changes are in principle not delegated, and changes involving contracts, pricing, personal data, complaints, or external publication are not auto-approved. Customer names, personal data, and secret credentials should not be pasted into the history.

Zenn AI/MLRead Original Article

Send on LINE

AI news that matters for your work, delivered every morning.

Pick your industry and the AI tools you use, and get news related to your work every day.

Get it free

Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →

Ask AI

Ask AI anything about this article. The AI reads this article, earlier AIToday articles, and Wikipedia, and cites its sources. Q&As are published on this page for other readers too.