Models & Frontiers
What the new models can actually do, how they were trained, and whether the benchmarks mean anything. Open source vs closed, and where the research is heading.
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.
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...
Multimodal Agents Are Still Missing the Workflow
Multimodal agents can see and act in interfaces, but production value still depends on workflow grounding, reliable UI actions and verification.
Small-Model Routing With Frontier Fallback: The Production Cost Pattern
Small-model routing cuts inference bills only when fallback is measured, budgeted and guarded against confidence failure.
Browser-Use Agents After the Computer-Use Benchmarks
Browser-use agents look cleaner than desktop agents, but the benchmarks still hide drift, cost, auth, and recovery failure.
Coding Agent Benchmarks Hit the Generalization Wall
Scale's SWE-Bench Pro public leaderboard reports that top models scoring above 70% on SWE-Bench Verified fall to 23.3% for OpenAI GPT-5 and 23.1% for...
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.
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...
Model Selection Guide: How to Pick the Right AI Model for Your Use Case
A March 2026 survey of the [Artificial Analysis leaderboard](https://artificialanalysis.ai/) counts 429 tracked models, over 200 of them open-weight....
Scaling Laws Explained for Practitioners: What Actually Matters in 2026
Scaling laws promised a simple deal: spend more compute, get better models. For three years, that deal held. Kaplan et al. drew the first power-law curves...
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...