Insights on data formats, LLM optimization, and reducing API costs. Learn about TOON and TONL formats, or try our free converter.
Why JSON is costing you money and performance in AI applications, and how switching to TOON can reduce token usage by up to 60%.
Explore Warp, Ray, and HTTPie—three niche developer tools that can transform your workflow—and see how TONL provides the reliable data foundation they need.
Discover how Warp, Ray, and HTTPie can supercharge your development cycle, and learn how the TOON format makes sharing tool outputs with AI more efficient.
Explore why LLMs favor agreement over correctness due to reward hacking, and how using TOON in your evaluation pipeline can help detect sycophancy.
Understand the 'sycophancy' problem in LLMs and learn how the TONL data platform provides the ground truth needed to build assertive, reliable AI systems.
Explore the fundamental causes of LLM hallucinations and learn how the TOON format reduces noise to improve accuracy and reasoning in AI applications.
Learn how the TONL data platform provides a reliable, high-fidelity foundation to ground Large Language Models and minimize factually incorrect outputs.
Explore how Claude 3.5 Sonnet and Haiku's new capabilities combine with TOON/TONL for optimal token efficiency, reducing API costs by 40-60% in agentic workflows.
Explore the environmental impact of AI and how processing fewer tokens with efficient data formats like TOON contributes to sustainable coding practices.
A step-by-step tutorial on building a chatbot using Next.js, Vercel AI SDK, and TOON for efficient tool calling and data passing.
Master the TOON format with our guide on best practices. Learn about naming conventions, nesting limits, common error codes, and practical troubleshooting strategies.
A practical guide for developers migrating their data from JSON to TOON. Learn about common pitfalls, regex vs parsers, and validation strategies.
Explore the internal architecture of the TONL AI-native data platform. Learn how it manages schemas, validation, and streaming differently from Protobuf and SQL.
Learn how replacing JSON with TOON in your RAG context chunks can significantly reduce token usage, lower latency, and cut API costs.
Compare Google's Protocol Buffers with TOON. Learn why binary formats struggle with LLMs and how TOON provides a token-optimized alternative.
A deep dive comparing Protobuf's binary serialization with TONL's AI-native data platform. Discover which typed format is right for your architecture.
Learn how to convert between JSON and Protobuf using our new tool. Discover the benefits of Protobuf's schema-driven approach and binary efficiency.
Deep dive into CSV format: RFC 4180 standard, common challenges, quoting rules, type handling, and best practices for data interchange.
Compare YAML vs TONL for LLM applications: advanced features, performance benchmarks, query capabilities, and when to use each format.
Compare YAML vs TOON for LLM prompts: token efficiency, readability, edge cases, and which format saves more on AI API costs.
Compare TOML vs TONL: query API, schema validation, streaming, and advanced optimization for LLM-powered applications.
Compare TOML vs TOON for LLM applications: token efficiency, nested structures, config use cases, and cost savings analysis.
Compare CSV vs TONL for LLM data: advanced features, indexing, nested data support, and enterprise-grade capabilities.
Compare CSV vs TOON for LLM prompts: flat vs structured data, type safety, token efficiency, and when to use each format.
Compare XML vs TONL for LLM applications: query capabilities, streaming, schema validation, and advanced optimization strategies.
Compare XML vs TOON for LLM prompts: token efficiency, verbosity analysis, and how TOON saves up to 69% on AI API costs.
Compare TOON vs TONL for LLMs: key differences, performance benchmarks, and when to use each format to optimize AI API costs.
Discover TONL: production-ready format saving 45% tokens vs JSON. Learn features, queries, and optimization strategies.
Discover the official TOON (Token-Oriented Object Notation) specification, ABNF grammar, data types, and key syntax rules of this modern serialization format.
Complete comparison of TOON against JSON, YAML, XML, TOML, and CSV. Discover which data format is best for your LLM applications with detailed feature analysis.
Practical guide to reducing OpenAI GPT and Anthropic Claude API costs by 30-60% using TOON format. Includes code examples and implementation strategies.
An in-depth comparison of JSON and TOON data formats for LLM applications, analyzing token efficiency, performance, and when to use each format.
Discover TOON (Token-Oriented Object Notation), the revolutionary data format designed to reduce LLM token consumption by up to 60% and slash your AI API costs.