AI systems intelligence for builders
Research intelligence for people shipping AI systems.
Applied research on agents, memory, evals, safety, models, and real-world deployment, translated into decision-ready signal.
Research lives on Swarm Signal. Execution tooling stays separate at BoredTools.
Reusable tools live at BoredTools.
Swarm Signal stays focused on research intelligence. Templates, trackers, and execution assets are kept on the separate BoredTools site.
BoredTools
The separate home for practical templates, trackers, and small operator tools.
Start with the map, then follow the signal.
Curated reading paths for builders and operators working across agent systems, safety, evals, frontier models and production AI.
Resources
The hub index for Swarm Signal reading paths.
AI Agent Systems
Architecture, orchestration, memory, deployment and operations.
AI Safety, Evals & Guardrails
Reliability, evaluation, security, governance and production controls.
Models & Frontiers
Frontier competition, open weights, inference economics and scaling.
Enterprise AI Operations
Deployment, adoption, ROI, governance and production operating models.
Agent Memory & Context Engineering
Context windows, long-term memory, RAG, retrieval and agent reliability.
Research formats
Research by format
Choose entry points by decision use-case and publication format.
Knowledge Verticals
Six operational domains covering AI system design and deployment.
Agent Design
Architectures, tool use, and frameworks for building agents.
- Tool-Use Agents Need Failure Labels, Not Pass Rates
- Computer-Use Agents Fail Long Workflows, Not Mouse Clicks
- Agent Observability Needs Provenance, Not More Logs
Swarm Systems
Multi-agent coordination, swarm intelligence, and collective behavior.
- Multi-Agent Finance Workflows Need Cost Curves, Not More Agents
- Agent Marketplaces Need Abuse Screens, Not Escrow
- Agent Messages Need State, Not Chat
Reasoning & Memory
Reasoning tokens, RAG, context engineering, and memory systems.
- Assistant Agents Need Reminder Tests, Not Recall Scores
- Agent Memory Needs Quarantine, Not Recall
- RAG Cost Attacks Turn Retrieval Into a Budget Risk
Safety & Governance
Red teaming, bias, interpretability, and benchmarks.
- Agent Sandboxes Need Egress Budgets, Not Trust Prompts
- Agent Observability Needs Provenance, Not More Logs
- Agent Bias Is Not Model Bias
Models & Frontiers
Model comparisons, training data, open source, and research frontiers.
- Coding Agents Need Trajectory Reviews, Not Pass Bits
- Small Agent Models Need Tool Floors, Not Parameter Claims
- Multimodal Agents Are Still Missing the Workflow
Real-World AI
Enterprise deployment, workforce impact, and developer tools.
- Agent Browsers Need Traffic Policy, Not Bot Blocks
- Power Grid Agents Need Constraint Tests, Not Chat Scores
- Healthcare AI Agents Move Beyond Drug Discovery
Latest Articles
Recent analysis and production-ready interpretation from across all verticals.
Multi-Agent Finance Workflows Need Cost Curves, Not More Agents
A March 2026 benchmark on financial-document processing makes the uncomfortable point: the most accurate multi-agent architecture was not the obvious...
Assistant Agents Need Reminder Tests, Not Recall Scores
Most agent-memory benchmarks ask whether a model can recover old information. PM-Bench asks a harsher question: can an agent remember to do the right...
Coding Agents Need Trajectory Reviews, Not Pass Bits
Most coding-agent benchmarks still compress a whole run into one bit: did the task pass? AgentLens argues that users experience the whole trajectory...
Agent Browsers Need Traffic Policy, Not Bot Blocks
Agentic browser traffic is no longer a rounding error in website operations. HUMAN Security's 2026 benchmark report says traffic from AI agents and...
Agent Marketplaces Need Abuse Screens, Not Escrow
Agent marketplaces are no longer only payment demos; they are becoming tool surfaces where software can hire people. A February 2026 empirical study of...
Agent Memory Needs Quarantine, Not Recall
Persistent memory is moving from chat convenience into personal-agent infrastructure. The failure mode is not just forgetting. It is remembering the wrong...