Ten things Notion AI is actually good at — from meeting notes to OKRs

Where it earns its price

• Answering questions from across the workspace — who owns this, what did we decide, where is that document
• Turning raw meeting notes into structured minutes with owners and dates
• Summarising a long project page for someone joining it
• Drafting OKRs from a quarter's worth of project pages
• Extracting action items from a wall of text and putting them in a database
• Translating internal documentation for an overseas team
• Rewriting a page for an audience that was not in the room
• Filling database properties from unstructured page content
• Producing a weekly digest from several project pages
• Finding the decision that contradicts the one you are about to make

The common thread: every one of these depends on the AI being able to see your workspace. None of them work by pasting into a chat window, which is exactly the argument for the per-seat cost.

Where to use something else

• Writing code — use a coding tool
• Long-form drafting from scratch — Claude is better
• Anything needing current information from the web
• Images, voice, data analysis

Making it work in practice

Workspace Q&A is only as good as what is in the workspace. Teams that get value from this have a habit of writing decisions down. If your institutional knowledge lives in Slack threads and people's heads, fix that first — the tool will not do it for you.