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The Only Context Rule Your AI Agents Actually Need
Bigger context windows don’t equal smarter agents. Systems may need rich memory, but individual agents need clean, minimal context...
The Layers of AI: From Classical Logic to Autonomous Agents
Most people using AI daily have no idea how it works under the hood. Here's the complete layered breakdown — from 1950s logic syst...
212 Blog Posts To Learn About Llm
Behind the Curtain: Why the Most Successful AI Apps are Actually Code-First.
We tried letting the LLM handle everything—mock data, validation, flows. It worked in demos but failed in production with inconsis...
The Three Failures Your AI Coding Tool Won't Tell You About
AI coding tools fail in four predictable ways: they replace your custom invariants with training-distribution averages (Prior Regr...
Engineering for Integrity in the Age of Hallucinating Models: An AI-Powered Exam...
AI works great in demos, but small inconsistencies break real systems. In this project, we built an AI-powered exam platform and a...
Your AI Agent's Cloud Bill Is an Attack Surface
AI agents in cloud environments face unbounded consumption risks that traditional rate limits can't catch.
Your LLM Has Amnesia - And We Built the System That Keeps It That Way (or Almost...
So a16z dropped a piece about continual learning last week, and I've been thinking about it obsessively since, in the way I used t...
I Ran Google's Gemma 4 Locally — Here’s What I Found
Running Gemma 4 locally proves that small open-weight models are already practical for real workflows, not just demos.They delive...
File-to-Markdown Conversion Is Becoming an AI Input Layer: Here's Why
Document conversion is no longer just a utility step. In AI systems, it becomes an input layer that normalizes messy files into re...
System Prompts Under the Hood: How LLMs Learn to Follow Instructions
System prompts define how LLM agents behave, use tools, follow policies, and prioritize instructions. Understanding how they work...
The Question We Are All Asking About AI Has Changed
Everyone is still arguing about which model is best. But the teams actually shipping things have moved on to a harder problem.
