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Context architecture applies information architecture principles to AI systems, helping agents interpret information and produce better, user aligned responses.
In the early days of business intelligence, organizations struggled with fragmented data, inconsistent reporting, and decisions that moved more slowly than the problems they were m...
Вы собрали диалоговую систему — агента с RAG, инструментами и памятью. На коротких диалогах всё работает: модель выбирает нужный инструмент и достаёт данные. Но через несколько дес...
For the last two years, one skill dominated every AI conversation: Prompt engineering. People spent hours crafting the "perfect" prompt. They built prompt libraries. They sold...
Most people start using Claude Code the same way they use ChatGPT: they open Claude, submit a prompt describing the task, and expect a…Continue reading on UX Planet »
Article 7 of 9 in the series.Picture a Product Owner and a Developer, together in an afternoon Teams call, reviewing a story that was researched, drafted, and designed by their Ref...
Prompt engineering is what you learn first. Context engineering is what you need when you're actually trying to ship something. Here's the distinction that took me too long to und...
Discover Horizon Context, a new capability within Horizon Catalog that delivers a connected, governed semantic foundation with active context for AI and BI.
Enterprise Document Intelligence [Vol.1 #7bis] - Tobi Lütke and Andrej Karpathy named the practice in 2025. For a single document, each brick emits typed pieces that converge on on...
Context debt Government agencies are deploying AI faster than they’re managing the information those systems depend on. That gap has a name. It’s not only model risk. It’s not only...
For Everyone: In-Context Customization Without the Learning Curve
Your finance team tries an AI agent to help close the books. It has access to data. It seems capable. But the results are unsettling: sometimes it cites an accounting policy that e...
We recently launched Omnigent, an open source meta-harness for AI agents. It lets...
Раньше ценность специалиста в продуктовой разработке — неважно, аналитик это, владелец продукта, разработчик или инженер сопровождения, — во многом мерили тем, сколько деталей он д...
Balancing context capability against cost, speed, and data The post Long Context vs. Short Context Model: When Does a Long Context Model Win? appeared first on Towards Data Science...
The open web is moving beyond identity-based systems built around audience data to context systems that understand who a person is, where they are, what surrounds them and what’s h...
Long sessions rot quietly, well before any token limit is reached. Here’s why, and how to govern your context in Claude Code. The post Context Rot: Why Claude Code Sessions Decay,...
And 10 tips and tricks for optimizing and managing your context windows
Compression on Arrival Tool outputs should be compressed after a call returns, not after the window fills.
In enterprise supply chains, operational context, memory continuity, and data coordination may matter more than simply deploying larger frontier AI models. Much of the public discu...
Over the last year, I've lost count of how many conversations I've seen about prompt engineering. Every week there seems to be another article explaining how a different prompt str...
What is context window in AI? A context window is the maximum amount of text, code, images, tool results, conversation history, and instructions that a large language model can con...
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