Tools vs. Subagents: Building Effective AI Agents Without Over-Engineering
Tools execute code.
Intelligence is Free, Now What? Data Systems for, of, and by Agents
… government of the people, by the people, for the people … — Abraham Lincoln, Gettysburg Address (1863) The cost of AI is dropping rapidly. GPT-4-class capabilities cost roughly $30 per million tokens in early 2023; today the same runs under $1, and some providers are pushing costs below $0.10. Across benchmarks, inference prices have …
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The Complete Guide to Tool Selection in AI Agents
You build an agent with five tools.
Context vs. Memory Engineering in Agentic AI Systems
Compression on Arrival Tool outputs should be compressed after a call returns, not after the window fills.
2026 BAIR Graduate Showcase
Congratulations to the Berkeley Artificial Intelligence Research (BAIR) Lab class of 2026! This year, BAIR celebrates another remarkable group of Ph.D. graduates whose curiosity, creativity, and perseverance have pushed the frontiers of artificial intelligence and machine learning. Their work spans the breadth of modern AI — robotics and embodied intelligence, large language models and reasoning, …
Context Window Management for Long-Running Agents: Strategies and Tradeoffs
In this article, you will learn five practical strategies for managing context windows in long-running AI agent applications, along with the key tradeoffs each approach…
Model Context Protocol Explained in 3 Levels of Difficulty
MCP provides a standard way for AI applications and external systems to communicate.
The AI Agent Tech Stack Explained
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Agentic Workflow vs. Autonomous Agent: What’s the Difference?
In this article, you will learn how to distinguish agentic workflows from autonomous agents by focusing on who owns control flow — a human writing…
Context Windows Are Not Memory: What AI Agent Developers Need to Understand
In this article, you will learn why a large context window is not the same thing as agent memory, and how techniques like retrieval, compression,…