Show Your Work with AI: A practical way to trust an AI answer
AI tools now draft a growing share of the words that move through engineering organisations. Some of those words stay as drafts. Others travel into design notes, tickets, runbooks and reports, where they start to behave like reference material. The corrective point is simple. The hard part is not getting AI to produce an answer. It is making that answer reviewable, current and accountable before it is reused. In this context, “show your work” means the AI answer comes with its trail: the source, the conditions it depends on, and the check you ran. “Trust” does not mean “believe the tool”. It means “safe to reuse because another engineer can review it”. A common failure mode is unexamined reuse. A paragraph is copied forward, stripped of context, and quietly promoted from draft to policy…