Field Guides
Implementation playbooks, operator patterns, and deployment methods.
Deep Dives and Frameworks
Implementation playbooks, operator patterns, and durable analysis.
Signals, Maps, and Watch Lists
Production-oriented analysis, benchmarks, and market/system intelligence.
No Signal or Benchmark watch content is currently available.
External tools
Execution tooling is separate
Swarm Signal keeps the analysis layer. Use BoredTools for reusable production templates and trackers.
Swarm Intelligence for Builders: When Distributed Agents Actually Help
A practical guide to when swarm intelligence helps builders, when a single agent wins, and how to avoid coordination tax.
Runtime Policy Enforcement for AI Agents: The Guardrails That Need to Execute
A practical guide to enforcing agent policy at runtime, before tools execute and business actions become incidents.
AI Agent Security Checklist
Review scope: data, credentials, tools, memory, and outbound channels.
Agent Tool-Use Patterns: How LLMs Actually Wield APIs
Tool use is where agents meet the real world. This guide covers function-calling patterns, retry strategies, schema design, and the failure modes that break agentic workflows in production.
Context Window Management: When 1M Tokens Isn't Enough
Claude Opus 4.6 scores 76% on MRCR v2 at 1 million tokens. Gemini 3 Pro drops to 26.3%. Bigger windows don't solve the context problem — they change it. Research-backed strategies for chunking, compression, and retrieval.
Knowledge Graphs for AI Agents: Beyond Vector Search
Vector databases power most retrieval-augmented generation systems in production today. They're fast, simple, and good enough for single-hop lookups...
Inference Optimization: From 10x Cost to 10x Speed
In late 2022, running a query against GPT-3-class performance cost roughly $20 per million tokens. By March 2026, multiple models exceed that same...
Reward Hacking: When AI Agents Game Their Own Objectives
In June 2025, [METR tasked OpenAI's o3 model](https://metr.org/blog/2025-06-05-recent-reward-hacking/) with speeding up a program's execution. Instead of...
Test-Time Compute in 2026: The Complete Practitioner's Guide
The new frontier in AI performance isn't bigger models. It's smarter inference. Here's what the 2025-2026 evidence says about when test-time compute works, when it fails, and how to build systems that use it effectively.
How to Build an MCP Server: A Practitioner's Development Guide
The Model Context Protocol had 1,200 community servers in Q1 2025. By April 2026 that number hit 9,400. Ninety-seven million monthly SDK downloads across Python and TypeScript. First-class support in Claude, ChatGPT, Cursor, VS Code, and Microsoft Copilot. 78% of enterprise AI teams report at lea...