TOON | Token-Oriented Object Notation
Boost your LLM prompts with efficient, accurate, and readable data.
Achieve Token Efficiency
You can achieve higher accuracy in your LLM prompts while using significantly fewer tokens. This optimizes performance and reduces costs, making your interactions more effective.
Guide Your LLMs Clearly
Give your LLMs clear structural guardrails with explicit length and field headers. This improves parsing reliability, ensuring your models understand and process data precisely.
Simplify Your Data Syntax
Benefit from a minimal syntax that offers YAML-like readability and CSV-style compactness. This makes your data human-readable and easy for you to manage, without sacrificing efficiency.
Achieve Token Efficiency
You can achieve higher accuracy in your LLM prompts while using significantly fewer tokens. This optimizes performance and reduces costs, making your interactions more effective.
Guide Your LLMs Clearly
Give your LLMs clear structural guardrails with explicit length and field headers. This improves parsing reliability, ensuring your models understand and process data precisely.
Simplify Your Data Syntax
Benefit from a minimal syntax that offers YAML-like readability and CSV-style compactness. This makes your data human-readable and easy for you to manage, without sacrificing efficiency.
Achieve Token Efficiency
You can achieve higher accuracy in your LLM prompts while using significantly fewer tokens. This optimizes performance and reduces costs, making your interactions more effective.
Guide Your LLMs Clearly
Give your LLMs clear structural guardrails with explicit length and field headers. This improves parsing reliability, ensuring your models understand and process data precisely.
Simplify Your Data Syntax
Benefit from a minimal syntax that offers YAML-like readability and CSV-style compactness. This makes your data human-readable and easy for you to manage, without sacrificing efficiency.
Be the first to know about every new tool.
No spam, unsubscribe anytime.