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When AI Forgets: Understanding and Fighting Context Rot in Large Language Models

As generative AI models grow their context windows, a hidden problem emerges: more information often leads to worse answers. Known as context rot, this phenomenon reveals a U-shaped performance curve where accuracy peaks at moderate context sizes, then degrades as signal is buried in noise. Bigger memory doesn’t guarantee better reasoning—effective context does.

Dec 23, 20254 min read

Beyond Tool Calling: Why AI Agents Should Write Code to Speak with MCP

raditional JSON tool calling is fragile. "Code Mode" changes the game: convert MCP tools to TypeScript APIs and let AI agents write executable code. It’s faster, handles complex logic, and uses secure sandboxes. Get the full code demo here.

Dec 4, 20255 min read

Visual comparison of JSON and TOON data formats shows JSON's bloated, repetitive syntax with high token count contrasted with TOON's efficient, compact schema resulting in reduced tokens.

The Efficiency Gap: Why JSON Might Be Bloating Your LLM Costs

Is JSON bloating your LLM costs? Discover TOON (Token-Oriented Object Notation), the high-efficiency alternative designed specifically for Generative AI. By decoupling schema from data, TOON can slash token usage by nearly 50% compared to standard JSON. Perfect for RAG pipelines, lowering API latency, and maximizing context windows. Check out our head-to-head code benchmark to see exactly how much syntax overhead you can eliminate today.

Nov 26, 20253 min read

Complex scene rendered in milliseconds using Nano Banana technology

Nano Banana: The AI Image Editor That’s Stirring a Creative Revolution

Nano Banana brings precision, speed, and coherence to AI image editing like never before. Its power lies in natural-language edits—one-shot, context-aware, and visually consistent. Though still experimental, platforms like LMArena and FluxProWeb offer rare glimpses. For now, creators and AI watchers alike are eagerly following every update and sharing discoveries as they emerge.

Aug 24, 20253 min read

Agriculture Meets AI: Precision Crop Planning and Sustainable Farming Using GenAI

Aug 20, 20255 min read

Small but Mighty: How dots.ocr is Revolutionizing Document AI

dots.ocr: A compact 1.7B AI model transforming multilingual document scanning into lightning-fast accuracy.

Aug 19, 20257 min read

Graph showing accuracy vs. average output tokens for GPT-5 and OpenAI o3 in software engineering.

GPT-5: The New Apex of Language Models

GPT-5 marks a transformative leap in AI, delivering unmatched reasoning, speed, and scalability. With up to 400K context tokens, adaptive routing between fast and deep-thinking models, and improved developer controls, it redefines what’s possible in large language model applications. From enterprise-scale analytics to intelligent agents, GPT-5 is engineered for context-rich, reasoning-heavy solutions of the future.

Aug 10, 20255 min read

depicts the layered architecture of model directives—how the Model Spec funnels behavior from Objectives through Rules to Defaults.

Unlocking the Secrets of OpenAI's Model Specifications and Defaults

OpenAI’s Model Spec, first released in May 2024, sets out a three-tier framework for guiding how AI assistants like ChatGPT should behave.Published in May 2024, the Spec introduced a three-layer hierarchy: Objectives, Rules, and Defaults .

Jul 28, 20252 min read