Failure Briefs
Postmortem-style analysis of AI system failures, fragility, and production risk.
Deep Dives and Frameworks
Implementation playbooks, operator patterns, and durable analysis.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
AI Agent Security Checklist
AI agents don't just have a security problem. They have a fundamentally different security problem than the systems they're replacing. Five attack surfaces and the defense patterns that actually work.
Chain-of-Thought Prompting: When It Works, When It Fails, and Why
Chain-of-thought is the most studied prompting technique in AI, and the most misapplied. A decision framework for when it helps, when it hurts, and what it costs.
Your Multi-Agent System Is Colliding
Most production agent systems don't fail because individual agents are stupid. They fail because three agents tried to solve the same problem...
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...
Synthetic Data Won't Save You From Model Collapse
The AI industry's running out of internet. Every major lab's already scraped the same corpus, and the easy gains from scaling data are tapering. The...
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...
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 Multi-Agent Systems Break: The Coordination Tax Nobody Warns You About
LLM-powered multi-agent systems fail at coordination 40-60% of the time in production environments, according to new research from teams building...
Fourteen Papers, Three Ways to Break: ICLR 2026's Multi-Agent Failure Playbook
ICLR 2026 produced a failure playbook for multi-agent systems. 70% of agent communication is redundant. Single agents still match swarms on most benchmarks.