JSON prompting is getting popular lately for generating more precise AI responses. I noticed there wasn't really a good tool to build these structured prompts quickly, so I decided to create one.

Meet JSON Prompter, a Chrome extension designed to make JSON prompt creation straightforward.

What it offers:

• Interactive field builder for JSON prompts

• Ready-made templates for video generation, content creation, and coding

• Real-time JSON preview with validation

• Support for nested objects

• Zero data collection — everything stays local on your device

The source code is available on GitHub if you're curious about how it works or want to contribute!

Links:

• Chrome Web Store: https://chromewebstore.google.com/detail/json-prompter/dbdaebdhkcfdcnaajfodagadnjnmahpm

• GitHub: https://github.com/Afzal7/json-prompter

I'd appreciate any feedback on features, UI/UX or bugs you might encounter. Thanks! 🙏

Hi guys!

I just finished vibe coding a JSON Prompt Crafter through the weekend. I saw that some people like to use json for their image/video prompts and thought i would give it a try. I found that it's very handy to have a bunch of controls and select whatever is best for me like playing with materials, angles, camera types, etc. I've made this so it doubles a sort of json prompt manager through a copy history of previous prompts. It has a bunch of features you can check the full list on github. It runs locally and doesn't send prompts anywhere so you can keep them to yourself :)

If you want to give it a spin, try and maybe give some feedback would be much appreciated.

It's totally free and open too for our open-source lovers <3

GitHub

https://github.com/supermarsx/sora-json-prompt-crafter

Live App

https://sora-json-prompt-crafter.lovable.app/

I’m trying the airoboros 33B model and other similar models but given a task they always give lengthy explanations which makes it harder to use as an API that can extract the result. Even after saying only return a value etc. they either stop working or don’t listen. Anyone has any insight?

If you’re using LLMs to generate code, components, or help with tricky stuff, you’ve probably run into vague or off-the-mark responses.

One thing that’s helped me a lot: JSON Prompting.

Instead of saying

"Give me a React component for a user profile, make it look nice"

You can write something like:

{

"task": "generate_react_component",

"component_name": "UserProfileCard",

"data_props": ["user_name", "profile_picture_url", "bio", "social_links"],

"styling_framework": "Tailwind CSS",

"output_format": "typescript_tsx"

}

This makes a big difference:

- Clear instructions = better, more accurate results

- Easier to get consistent output across multiple prompts

- You can even plug this into tools or workflows

- Forces you to think more like an API designer

If you're tired of tweaking vague prompts over and over, give this a shot. It's been a game changer for me.