NOTION AI IS HERE – 10 Mind-Blowing Examples!

Notion AI is rolling into workspaces as an alpha feature that adds in-place text generation and editing—turning Notion pages into a lightweight assistant for writing, translating, summarizing, and even generating runnable code. The most practical takeaway from the rollout is that many tasks can be done without leaving the workspace: highlight text, choose an AI action, and keep the writing flow going.

A quick tour starts with an “AI Playground” page where multiple AI archetypes act like prompt modes. One example generates a blog outline for “What is GTD and how can I use it,” producing a structured draft that includes the Getting Things Done framework’s key steps (collect, process, organize) and a definition tied to David Allen. Another archetype generates lists from a prompt—such as producing a “10 Best Super Nintendo games” list—showing how the tool can help with list-style content ideas, including filling gaps in what a creator might not already know.

The assistant also builds structured content. Using “help me write” and a “comparison table” prompt, it generates a table comparing categories like mountain bikes, road bikes, and unicycles. The results aren’t perfectly consistent—retries can change the number of rows and the level of detail—but the workflow still supports iterative refinement. A “continue writing” option can then expand the table with additional sentences, effectively letting users grow an output in place.

Editing and language tasks are handled directly through an AI assist menu. Highlighting a sentence triggers options like “fix spelling and grammar,” which corrects both spelling and grammar while offering choices to replace, retry, or insert the corrected version beneath the original. Translation works in a more experimental way through “roundtripping”: translating a sentence into multiple languages and then back to English. In the demonstration, the meaning largely survives the loop, even if phrasing shifts.

The most striking capability is code generation. With “help me write,” Notion AI produced JavaScript that calls PokeAPI (pokeapi.co) to fetch data for the first five Pokémon and print name, height, and weight to the terminal. The creator then copied the generated code into Glitch and ran it with Node, getting real output for Bulbasaur and Ivysaur—an example of how plain-English prompts can translate into syntactically correct, executable scripts.

Math and reliability are more mixed. For simple arithmetic, the assistant returns correct results, but for a more complex geometry question—surface area of a sphere with radius 20—it initially produced an incorrect answer. Adding prompting guidance like “think in steps” improved accuracy, though formatting requests (like list formatting) still didn’t guarantee correctness every time.

Finally, Notion AI can summarize long text and answer direct questions inside Notion. Summaries can be generated for an entire article or for selected sections only. For factual Q&A, a prompt about the 2018 US Open Men’s Division winner returned Novak Djokovic along with additional context, suggesting users can pull information without switching tabs.

Access and privacy details matter because this is an alpha. The feature requires opting in via Notion settings, and the service says it won’t use workspace data for training unless explicit permission is granted. Pricing is expected to change later, with the alpha currently free but likely tied to usage costs.