#Toon Data Format Github

Toon is a new file format that is specifically meant for interacting with large language models. It looks a lot like JSON but much smaller in size. But it has a couple of interesting differences. #programming #software #AI

TONL is a LLM-friendly serialization format that can cut your data size by up to 50–60% compared to JSON, which also means dramatically lower LLM token costs. #github #opensource

TOON promises to cut your LLM token costs in half while improving accuracy on structured data. When you’re sending customer lists, database queries, or product feeds to ChatGPT, JSON’s verbosity becomes expensive fast. A 100-customer JSON file consumes 6,000 tokens - and that’s just the beginning. The format’s redundancy can also cause AI to drift, miss fields, or miscount entries. TOON takes a different approach. Inspired by CSV but designed specifically for LLM interactions, it uses explicit structure with declared array lengths and field definitions that help AI validate data in real-time. The same 100-customer list? Cut to under 3,000 tokens. This analysis breaks down when TOON excels versus when traditional formats still win: - Token efficiency comparisons on real datasets - How explicit structure reduces AI parsing errors - Ideal use cases: logs, database results, product catalogs - Where JSON and XML still outperform TOON - Implementation considerations from the GitHub documentation The format isn’t replacing JSON everywhere - deeply nested or non-uniform data still favors traditional approaches. But for high-volume structured data? TOON might be the optimization you didn’t know you needed.

TOON format is here

Meet TOON - the smarter, cleaner way to structure your AI prompts that cuts your token use in half and saves you money! Ready to level up your AI game with less cost and more efficiency? Comment TOON below ⬇️ [TOON, JSON, Prompting, Prompt Engineering, Token, Token Oriented Object Notation, Token Prompting, AI prompts, AI, Artificial Intelligence, GenAI, AI for Grandmas]

TOON Token-Oriented Object Notation is a compact, human-readable encoding of the JSON data model for LLM prompts. It provides a lossless serialization of the same objects, arrays, and primitives as JSON, but in a syntax that minimizes tokens and makes structure easy for models to follow.

TOON is the latest data format built for the age of AI. It helps developers feed structured information to large language models while using up to 60% fewer tokens than JSON. By removing extra punctuation and repeating keys, it keeps prompts compact and costs lower without sacrificing readability. Think of TOON as a mix between YAML and CSV. It uses indentation for structure and lists data rows like a spreadsheet. This makes it perfect for datasets with the same fields across items, like logs, analytics, or user records. It’s lightweight, easy to read, and optimized for AI input, not output. If you’re building AI tools or experimenting with LLMs, TOON can help you include more data for less cost. Learn how this new format could make your next AI project leaner and smarter. Follow the Better Engineer channel for more breakthroughs like this. #AI #MachineLearning #DataEngineering #Developers #JSON #YAML #BetterEngineer #TechExplained #AItools #Coding #Innovation #LLM #BetterStack

Comment “API” for the link

This GitHub repo lists hundreds of free APIs all neatly organized by category. You’ll find ones for programming, finance, news, entertainment, and more. If you’re not sure what an API is, it’s basically how different apps talk to each other. For example, if you’re building a crypto tracker, you can connect it to a finance API and instantly pull real-time prices and market data right into your app. This library is perfect for anyone building apps, AI tools, or automations and it’s completely free to use. 🔥 Comment “API” and I’ll DM you the link to access it.

Cut your AI costs in HALF 🔥 Same data. 15K tokens → 8K tokens. That’s 47% savings on every API call. TOON = Token-Oriented Object Notation Built specifically for LLMs to understand structured data efficiently. Perfect for: Analytics data, user records, logs, orders Not replacing JSON ;) but definitely complimenting it for AI workflows. Follow @codewithharshad for more such dev and AI content. #AI #TOON #softwareEngineering

Everyone is just “chatting” with AI, but this open-source update actually lets it do the work. Someone dropped 60+ skills on GitHub that let Claude control your desktop apps directly. I’m talking about building complex Excel models, creating full PowerPoint decks, and analyzing competitor ads end-to-end. It runs locally on your machine, so your data stays private. Stop doing the busy work. Let the AI do it. 👇 Comment “CLAUDE” and I’ll DM you the GitHub link.

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