AI can make technical writers faster. It cannot remove the hard part of technical writing. The hard part is knowing what is true, what matters to the user, and what needs to be maintained after the product changes. For documentation teams, that distinction matters. AI can reduce the time spent on first drafts, summaries, rewrites… Read more »
AI agents are starting to do real work. They can search systems, draft answers, update records, test software, summarise documents, create pull requests, and trigger other tools. In some organisations, they are already moving from experiment to everyday workflow. That causes a documentation challenge. If an AI agent is going to act on behalf of a… Read more »
Last week, Anthropic launched Claude Tag for Slack. For documentation teams, it is worth paying attention to. At first glance, it looks like another AI assistant added to a workplace tool. You mention @Claude in a Slack channel, ask it to do something, and it replies in the thread. That undersells the change. Claude Tag… Read more »
Cherryleaf’s 2026 survey of AI in technical communication reveals technical communicators are no longer asking whether AI has a place in documentation work. Most are already using it. In our 2026 survey, 62% of the respondents said they use AI regularly or daily in their role. Only 8% said they do not use it at… Read more »
Could technical documentation become the knowledge layer for AI? This month, Google Cloud has introduced the Open Knowledge Format (OKF). It’s an open specification for packaging organisational knowledge in a form that both people and AI agents can use. An OKF collection is essentially a directory of Markdown files. Each file contains a small amount… Read more »
