The Visible Checklist Pattern — Enforcing Multi-Step Pipeline Compliance in LLM Agents
In a production AI agent pipeline, the difference between job done and job half-done is often invisible — not because the output is wrong, but because…
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BAGEN: LLM Agents Waste 44% of Tokens on Tasks They'll Fail
You're paying for every token your agent burns. And according to new research from Northwestern, Stanford, Cornell, and All Hands AI, a large share of…
# Agentic AI: Architecture of Autonomous Systems
"A language model that answers questions is a tool. A language model that decides which questions to ask and then acts on the answers is something els…
LMR-BENCH: Can LLM Agents Reproduce NLP Research Code? (EMNLP 2025)
A research team from the University of Texas at Dallas published LMR-BENCH at EMNLP 2025, asking a specific question: can LLM agents reproduce the cor…
The AI That Manages Its Own Memory: Why Recursive Language Models Are the Next Big Shift in AI
What I learned reading one of the most important AI papers of 2025, and why every team building with AI agents needs to understand this. I have been f…