When automating tasks using LLMs, the most exhausting part is not actually 'getting the AI to generate something'. The painful part comes after that. Extra text gets mixed into the returned JSON.

This guide explores the process of validating and cleaning JSON data, ensuring proper structure, data types, and adherence to specified schemas for robust applications.

Prototyping is my favorite part of programming. I like building new stuff and getting things working. It’s no surprise, then, that I am a big fan of MongoDB and NoSQL in general. Don’t get me wrong: I ...

For new projects or those seeking active development, consider using Jedison. Fork of the inactive jdorn/json-editor using the updated fork json-editor/json-editor ...

{ "title": "Example Schema", "type": "object", "properties": { "firstName": { "type": "string" }, "lastName": { "type": "string" }, "age": { "description": "Age in ...

We are pleased to announce the experimental release of our ParseJSON function, which can parse JSON strings into Power Fx objects and types. This new function dramatically simplifies working with JSON ...