Signals
Production-oriented research signals and interpretation for AI systems builders.
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.
Tool-Use Agents Need Failure Labels, Not Pass Rates
Tool-use agents can fail in ways a final accuracy score hides, because the same wrong answer can come from skipped tools, ignored outputs, fabricated...
Small Agent Models Need Tool Floors, Not Parameter Claims
Small language models are getting a serious agent story, but the useful question is no longer whether a 1B, 3B, or 8B model can sound capable. The useful...
Agent Observability Needs Provenance, Not More Logs
Agent observability is drifting toward a familiar trap: capture every trace, then ask an engineer to work out why the agent did the wrong thing. A June...
Agent Messages Need State, Not Chat
Multi-agent systems do not only fail because the agents are weak. They also fail because every agent is allowed to narrate too much. A June 2026 paper...
Agent Leaderboards Can Be Cheaper Without Being Safer
A March 2026 paper on efficient agent benchmarking found that mid-difficulty task subsets can remove large parts of an agent benchmark while preserving...
Multi-Agent Systems Need Specs Before More Agents
Multi-agent systems are getting easier to assemble and harder to trust. A new June 2026 paper from Cisco researchers argues that the missing layer is not...
Power Grid Agents Need Constraint Tests, Not Chat Scores
A June 2026 power-systems benchmark argues that language-model agents can solve grid-engineering tasks, but the useful signal is narrower: the agent must...
Agent Tool Menus Are a Safety Surface
New agent benchmarks suggest the visible tool menu is not a neutral implementation detail. It changes success, cost, wrong-tool calls, and risk exposure.
Agent Memory Fails on Relationships, Not Recall
New June 2026 memory benchmarks show why long-running agents fail when facts conflict, evolve, or depend on hidden relationships.
SMAC-Talk Shows Agent Chat Is Not Coordination
SMAC-Talk adds natural-language communication and deception to StarCraft-style multi-agent evaluation. The result is a useful warning: agent chat can expose coordination failure as easily as it fixes