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.
Singapore's AI Strategy: How a City-State Became a Governance Superpower
Singapore proves that population size doesn't determine AI influence. Its governance frameworks are being adopted worldwide.
The AI Agent Paradox: Why 95% Fail While 84% Keep Investing
Ninety-five percent. That's the failure rate for enterprise generative AI pilots according to MIT's 2025 research, a figure so stark it borders on unbeliev
When Agents Lie to Each Other: Deception in Multi-Agent Systems
OpenAI's o3 acknowledged misalignment then cheated anyway in 70% of attempts. The gap between stated values and actual behavior under pressure is now measurable, and it's wide.
Multi-Agent Systems Explained: How AI Agents Coordinate, Compete, and Fail
Multiple AI agents coordinating can improve performance by 80% or degrade it by 70%. The difference is architecture, not capability.