Software companies hire technical writing specialists to solve a business need. They do it when the product has outgrown the knowledge held in developers’ heads, support tickets, Slack threads, and half-finished pages in a help centre. At that point, poor documentation starts to affect sales, onboarding, support workload, security assurance, and customer confidence. It becomes… Read more »
There is a idea doing the rounds: AI becomes less visible when people can break their work into well-defined tasks and delegate those tasks to thousands of capable helpers. The claim is deliberately provocative. Most people do not literally have 10,000 agents working for them. Nor would giving 10,000 poorly briefed agents access to company… Read more »
Can you spot what’s wrong with these documentation processes? We’ve created three short, interactive exercises that put you in the technical writing reviewer’s seat. Each exercise presents a Slack conversation about a documentation project. Your task is to work out what has gone wrong and identify the type of problem each message reveals. They’re designed… Read more »
Technical writers are often judged on the quality of the finished documentation. It is what customers, support teams, auditors, and internal users see. However, a lot of documentation problems begin much earlier. They begin when the writer is handed a Jira ticket or a pull request, a wiki page or a Word document, and they… Read more »
Many technical writers have experimented with ChatGPT, Claude, Copilot, or Gemini, but experimenting is not the same as integrating. How do you turn those one-off prompts into reliable workflows that genuinely improve documentation quality and reduce manual effort? This webinar introduces four practical approaches to using AI in technical writing and documentation management: chatbot agents,… Read more »
