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.
Models Training Models: The Promise and Peril of Synthetic Data
Microsoft's Phi-4 trained on more than 50% synthetic data and beat GPT-4o on graduate science benchmarks. The old rules about training data are changing fast.
More Context Doesn't Kill RAG. It Just Changes the Fight.
Long-context LLMs now hit a million tokens, but a persistent 10% accuracy gap and punishing costs keep RAG very much in the fight.
Your Agent Doesn't Need Human Memory. It Needs Something Weirder.
The AI industry keeps describing agent memory like it's a brain. "Short-term memory," "long-term memory," "episodic recall." The metaphors are intuitive....
Chain-of-Thought Prompting Doesn't Always Work. Here's the Evidence.
Think step by step. It's the most common prompt engineering advice in circulation, repeated in tutorials, baked into system prompts, and treated as a...
Multi-Agent Systems for Supply Chain Optimization
Walmart fulfills 76% of orders from local regions with agent-driven logistics. Maersk saved $300 million. But only 23% of supply chain organizations have a formal AI strategy. Where multi-agent systems are delivering results.
AI Agents in Insurance: Claims, Underwriting, and Fraud Detection
Allianz's seven-agent system cut claim processing time by 80%. Lemonade automates 55% of claims. Meanwhile, 23 states enforce AI governance rules. Where AI agents are working in insurance, and where they're not.
Your Multi-Agent System's Biggest Problem Is Its Org Chart
Static multi-agent topologies leave massive performance on the table. New research shows agents that rewire their own communication graphs outperform fixed architectures by double-digit margins.
Multi-Agent Systems for DevOps: CI/CD, Incident Response, and Infrastructure Automation
Komodor's Klaudia cut MTTR by 63%. Pulumi Neo dropped provisioning from 3 days to 4 hours. Where multi-agent DevOps is actually working in production.
AI Agents in Financial Services: Compliance, Trading, and Operational Automation
JP Morgan's LOXM, Stripe's Radar, Mastercard's 300% fraud detection improvement. Where AI agents actually work in financial services, and where the hype outpaces reality.
Your Agent's Memory Problem Isn't Where You Think
A diagnostic framework crossing three write strategies with three retrieval methods reveals that retrieval quality dominates agent memory performance.