Guides
Keeping a help center true to the product.
Practical, vendor-neutral guides for the people who own documentation, support and product: how help centers drift, what verification actually means, and what you can safely automate.
- Guide 9 min read Re-indexing isn’t verification Why a support bot or AI knowledge base can still be wrong after you re-sync it, and what checking an instruction actually takes. Read
- Guide 9 min read Which help-center updates can you automate? A decision guide for documentation owners: what can apply on its own, what needs a quick look, and what always needs a person. Read
- Comparison 7 min read How HelpCenter.AI compares AI support agents, docs platforms and writing assistants, side by side, with an honest note on when we’re not the right fit. Read
- Explainer 6 min read What an AI knowledge base should actually do Search, writing help and maintenance are different jobs. What to look for when you evaluate AI knowledge-base software. Read
- Explainer 6 min read AI customer support starts with its sources Why support AI gives wrong answers, what better documentation can and can’t fix, and how to measure the difference. Read
- Essay 5 min read Docs rot. Shipping makes it worse. Why documentation is the one part of a product that gets worse as the rest improves, and what we think should change. Read
Glossary
The words we use, defined.
Short, precise definitions of the terms used across these guides.
- Documentation drift
- The growing gap between what a help article says and what the product does, caused by releases that change labels, locations, steps or screens without the article being updated.
- Verification record
- The evidence behind a checked instruction: when it was checked, on which build and environment, signed in as which role, in which language, what was executed and what wasn’t.
- Observed, inferred, imported, unverified
- Four evidence labels. Observed: seen during a replay. Inferred: derived from a release change, not yet replayed. Imported: carried over from existing content, not re-checked. Unverified: couldn’t be checked, with the reason.
- Help-center audit
- A bounded check of an agreed sample of help articles that returns findings with evidence, keeping structural issues separate from product-verified inaccuracies.
- Protected text
- Wording a person on your team wrote or edited. A maintenance tool should flag it when a change affects it, not rewrite it silently.
- Cause batching
- Grouping proposed updates by what caused them, such as one release or one renamed feature, so a single review decision covers every affected article and screenshot.
- Re-indexing
- Refreshing what a search engine, support bot or AI system reads from your content. It keeps answers in sync with the articles, but can’t tell whether the articles still match the product.
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Thanks. That genuinely shapes what we build first.