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About this tool
Build Notion AI prompts tuned to a page, a database autofill or a summary, with length checked against the 2,000-character property limit.
The Notion AI Prompt Builder writes prompts shaped by where they will run — a page, a highlighted selection, or a database property filled once per row. It converts your target length into an estimated character count and checks it against Notion's 2,000-character rich text property limit, and multiplies rows by AI properties to show how many generations a single autofill run will trigger. The output is plain text you paste straight into the Notion AI box.
Open Notion AI Prompt Builder on AltFTool — it loads instantly in your browser.
Provide your input — an image, text, or data.
Let the tool analyze or generate the result.
Review, refine, and reuse the output wherever you need it.
A database prompt gets shape and consistency rules; a page prompt does not need them.
Target words convert to characters and are tested against Notion's 2,000-character property cap.
Select, Date, Checkbox, Number and URL properties each get the exact output constraint they need.
State the action, name the property it writes into and its type, fix the output format, and require every row to come out in the same shape. Consistency is what keeps the column sortable and filterable — an unconstrained prompt gives you a different format in every row.
Notion's API caps a single rich text content value at 2,000 characters, and longer values are truncated. At roughly six characters per word that is about 333 words, so an AI-filled summary property should target well under that.
List the allowed values in the prompt and instruct it to return exactly one of them with no explanation, punctuation or quotation marks. Anything the model adds around the value — a full stop, a reason, quote marks — creates a new option in the property.
Test on a filtered view of about ten rows first, especially past a few hundred generations, because a formatting mistake repeated across every row is tedious to undo. Run count is simply rows multiplied by the number of AI properties, so two AI columns over 600 rows is 1,200 generations.