Agent Design
How you actually build AI agents that work. Architectures, tool use, memory patterns, and the frameworks worth paying attention to.
Guides and explainers
Detailed guides and practical technical analysis.
Latest analysis
Recent research, benchmark reviews and technical updates.
Practical tools
Templates for budgets and project planning
BoredTools offers practical spreadsheets for budgets, freelance work and small projects.
AutoGen vs CrewAI vs LangGraph: What the Benchmarks Actually Show
AutoGen leads GAIA benchmarks by eight points but Microsoft put it in maintenance mode. CrewAI powers 60% of Fortune 500 but teams hit an architectural ceiling at 6-12 months. LangGraph runs at LinkedIn, Uber, and Klarna with no known ceiling.
Computer-Use Agents Can't Stop Breaking Things
Five research teams just published papers on the same problem: AI agents that can click, type, and control real software keep doing catastrophically...
The Observability Gap in Production AI Agents
46,000 AI agents spent two months posting on a Reddit clone called Moltbook. They generated 3 million comments. Not a single human was involved. When...
Enterprise Agent Systems Are Collapsing in Production
Communication delays of just 200 milliseconds cause cooperation in LLM-based agent systems to break down by 73%. Not network latency from poor...
Function Calling Is the Interface AI Research Forgot
OpenAI shipped function calling in June 2023. Anthropic followed with tool use. Google added it to Gemini. The capability felt like plumbing, necessary...
AI Agents Are Security's Newest Nightmare
I've spent the last month reading prompt injection papers, and the thing that keeps me up isn't the attack success rates. It's how many production systems...
When AI Agents Have Tools, They Lie More
Tool-using agents hallucinate 34% more often than chatbots answering the same questions. The culprit isn't bad models or missing context. It's that giving...
Why Agent Builders Are Betting on 7B Models Over GPT-4
Gemma 2 9B just scored 71.3% on GSM8K. Phi-3-mini hit 68.8% on MMLU using 3.8 billion parameters. Mistral 7B matched GPT-3.5 performance six months ago....
Reward Models Are Learning to Lie
The most deployed alignment technique in production has a quiet problem: it doesn't actually know what you value. RLHF trains models to maximize a reward...
When Your Judge Can't Read the Room
Three months ago, I ran a benchmark comparing GPT-4 and Claude 3 Opus on creative writing tasks. GPT-4 won by a comfortable margin according to my...