Buenote

Buenote

Build once. Get perfect AI output on repeat every time.

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Save your best prompts as living templates and stop paying for one trick tools. Our simple template builder lets you shape any AI task once, then hit go whenever you need it. Less typing, less guessing, more work you will be proud to ship.
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Launch tags:
Productivity•Marketing•Artificial Intelligence
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What do you think? …

Rob V
Maker
📌
Hey Product Hunt, I’m Rob, co-founder of Buenote. Why we built it: Chatting your way to the same output over and over wastes time. One-off tools hide the prompt—and charge for it. We wanted the openness of raw chat with the reliability of a template. How it works: A template is a structured prompt: 1. Write clear instructions 2. Add example input → output pairs 3. Define the expected input and output types Buenote calls the model and returns structured data—JSON, an Array, or anything you choose—so results land in the right shape every time. Tweak a template, run it on fresh input, then share or publish it. Pick from the latest OpenAI models (more on the way). Got a use case in mind? Drop it below and we’ll trade you a template. — Rob & the Buenote crew
J N

Honestly, its such a sensible way to work with AI, i can definitely see how this would save a lot of head scratching :)

Rob V
Maker

@michaelrog we definitely agree! it takes another mindset shift where for anything we do now instead of immediately going to ChatGPT to start chatting we think a little more structured, trying to answer some questions ourselves about what we're trying to achieve and what some good examples of it might be, sometimes ChatGPT helps think this through but at this point we've made the "Auto-gen with AI" feature a good starting point once you name and give a description to your template.

Ultimately it produces better results more quickly and to top it off the next time there's a similar task we have a template ready to go.

Rachit Magon

Love this approach, just a thought, supporting other LLM providers in addition to OpenAI could make it even more versatile for different use cases. Excited to see what’s next. @thisisrobv

Rob V
Maker

@rachitmagon thanks for the feedback, definitely considering it!