Technical Article Refresh (Version-Aware Maintenance)
This workflow identifies stale commands, changed interfaces, deprecated behavior, and broken assumptions in technical articles. It preserves correct material and asks for verification rather than performing a cosmetic rewrite.
GPT / Claude / Gemini4 variables
Prompt
Review this technical article for version-sensitive accuracy.
Article: {DRAFT}
Target versions and platforms: {VERSIONS}
Current official documentation and release notes: {SOURCES}
Available test results: {TEST_RESULTS}
Create a table with:
- Statement or instruction from the article
- Why it may be stale or risky
- Evidence and source URL
- Affected version/platform
- Status: verified current, verified stale, conflicting, or needs testing
- Smallest accurate change
- Test required before publication
Preserve correct sections. Identify deprecated APIs, changed UI labels, command differences, security implications, and migration requirements. Keep older-version instructions where they remain useful and label them clearly.
Do not claim to have run tests or opened sources unless that evidence is supplied. Do not change the update date until a substantive revision is completed.
Finish with a prioritized patch plan and unresolved checks.Quick brief
Purpose
Update technical content only where the evidence shows it needs changing.
Expected output
A maintenance report with stale claims, evidence, affected versions, minimal edits, compatibility notes, test steps, and a recommendation for the revision date.
Customize before copying
Replace these placeholders with your own context before you run the prompt.
{DRAFT}{VERSIONS}{SOURCES}{TEST_RESULTS}
Works well with
GPT
Claude
Gemini
Variations
Audit only code blocks and commands.
Create a migration note for users moving between major versions.
Prepare a change log entry that distinguishes tested fixes from documentation-only edits.
What this prompt helps you do
This workflow identifies stale commands, changed interfaces, deprecated behavior, and broken assumptions in technical articles. It preserves correct material and asks for verification rather than performing a cosmetic rewrite.
When to use it
Use for developer tutorials, API guides, software setup pages, AI tool documentation, and articles about rapidly changing products.
Decision context
Not every old page needs a full rewrite. Decide whether to make a narrow correction, add a version note, restructure the guide, or retire it based on actual changes and reader impact.
How it works
The prompt maps each version-sensitive statement to a source or test, records what changed, and proposes the smallest accurate edit. It separates verified changes from checks that still need to be performed.
Best practices
Test code examples in the stated environment, capture the version used, preserve stable URLs, and explain breaking changes. Use meaningful revision dates only after substantive edits.
Common mistakes
Do not update dates automatically, silently replace old behavior with new behavior, or claim code was tested when it was not. Do not remove context that remains useful for older supported versions.
What you should expect back
A maintenance report with stale claims, evidence, affected versions, minimal edits, compatibility notes, test steps, and a recommendation for the revision date.
Limitations
Without access to current docs or a runnable environment, the model can only identify likely checks, not certify the article as current.
Model notes
Supply the current draft, target versions, official documentation, release notes, and test results where available.
Real-world applications
Docs teams, technical publishers, open-source maintainers, and SaaS knowledge bases.
How to tell if it worked
Instructions match stated versions, breaking changes are explicit, readers can choose the right path for their environment, and the revision log explains meaningful changes.
Where to go next
Use with the helpful tutorial writer and content quality audit.
Appears in collections
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