Cut LLM Token Costs by 60% Using TOON

Описание: Want to reduce your GPT or LLM API billing? 🚀
In this video, I show how I cut 37% token usage simply by switching from JSON to TOON (Token-Oriented Object Notation) — a super-compact format designed for feeding data into AI models.

💡 Why TOON?
JSON is extremely verbose. All those curly braces, repeated keys, and quotes unnecessarily increase token count — which means higher API costs. TOON solves this by using minimal syntax and a tabular structure for compact encoding.

⏱ What you’ll learn in this video:

What is TOON & how it works

TOON vs JSON token usage comparison

Live test with 30 e-commerce records

When to use TOON (and when NOT to)

How TOON can save $100s/month at scale

⚠️ Important:
TOON works best for flat, tabular, row-based data such as logs, transactions, events, orders.
It does not support nested JSON well — flatten your data first for best results.

📊 Real Results:
Same dataset. Same model. Same output.
→ 37% fewer tokens = cheaper LLM bills

🔥 Imagine this impact at 3,000 or 30,000 rows!

📍 Comment “TOON” below if you want the repo link.
👍 Like, Subscribe & Share with anyone using AI — especially developers burning money on GPT tokens!

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#aiagents #OpenSourceAI #ai #aicoding #LLM #AIModel #MachineLearning #NaturalLanguageProcessing #AIResearch #ainews #HuggingFace #OpenRouter #AICommunity #TechInnovation #AIDevelopment #SoftwareEngineering #aiagents #OpenSourceAI #ai #aicoding #LLM #AIModel #MachineLearning #NaturalLanguageProcessing #AIResearch #ainews #HuggingFace #OpenRouter #AICommunity #TechInnovation #AIDevelopment #SoftwareEngineering