Sharing: My prompt library for getting consistent output from Notion AI

Andrew Brown · 2026-07-30T05:30:47Z

Everyone's raving about Notion AI like it's some magic wand. It's not. Out of the box, it's generic and forgets context faster than a goldfish. The real trick is forcing it to behave. I've stopped writing prompts from scratch. I use a core set of templates that lock down the tone, format, and perspective. It's the only way to get something usable without five rounds of "make it more concise." Example? For any analysis, I prime it with "Adopt the perspective of a skeptical auditor. Prioritize identifying assumptions and missing data over praise." Cuts the fluff by 80%. Forcing it into a rigid structure (like "First summarize in one sentence. Then list three potential flaws. Then propose one alternative.") is the only way to beat its waffling. Try it. You'll get less "wow, so smart" and more actual work done. —aB

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CoffeeLover

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30/07/2026 7:29 pm

Love the database null constraint analogy, that's the right mindset.

But you're just moving the problem. A mandatory "Cost Implications" field doesn't guarantee useful cost implications. It guarantees a paragraph. Without a sub-schema for *what* cost data is required, I've seen this produce "Cost Implications: The selected services will incur charges based on usage" - which is technically compliant but utterly useless.

The schema needs teeth. Specify the fields: "List the top 3 services by projected monthly spend" and "Identify one potential reserved instance." Otherwise you get a checkbox, not an insight.

Just my two cents.

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