AI Writing, PRDs & Documentation
Posted: Tue Jul 21, 2026 2:43 pm
AI Writing, PRDs & Documentation
Writing is the single most time-consuming, least differentiated part of the PO role — PRDs, user stories, acceptance criteria, release notes, stakeholder updates — and it's the category where general-purpose AI assistants like ChatGPT and Claude have had the most immediate, uncontroversial impact. Rather than starting a PRD from a blank page, a PO can feed in research notes, a rough outline, or a transcript of a customer call and get a structured first draft back in seconds, then spend their own time on the parts that need real judgement: trade-offs, edge cases, and the 'why' behind the decision. Notion AI takes a slightly different angle, working inside the team's existing documentation workspace so drafting, summarising and answering questions all happen where the docs already live, rather than in a separate chat window. The risk in this category is treating AI output as finished rather than a draft: a fluent-sounding PRD can still miss a critical edge case or misstate a requirement, so the discipline of having an engineer or designer sanity-check anything AI-drafted before it becomes a commitment doesn't go away. Used well, this category buys back hours every week that were previously spent on formatting and phrasing rather than on the substance of the decision.
Writing is the single most time-consuming, least differentiated part of the PO role — PRDs, user stories, acceptance criteria, release notes, stakeholder updates — and it's the category where general-purpose AI assistants like ChatGPT and Claude have had the most immediate, uncontroversial impact. Rather than starting a PRD from a blank page, a PO can feed in research notes, a rough outline, or a transcript of a customer call and get a structured first draft back in seconds, then spend their own time on the parts that need real judgement: trade-offs, edge cases, and the 'why' behind the decision. Notion AI takes a slightly different angle, working inside the team's existing documentation workspace so drafting, summarising and answering questions all happen where the docs already live, rather than in a separate chat window. The risk in this category is treating AI output as finished rather than a draft: a fluent-sounding PRD can still miss a critical edge case or misstate a requirement, so the discipline of having an engineer or designer sanity-check anything AI-drafted before it becomes a commitment doesn't go away. Used well, this category buys back hours every week that were previously spent on formatting and phrasing rather than on the substance of the decision.