Project
Swarm Signal
Swarm Signal is an independent AI research publication. It synthesises scattered developments in artificial intelligence into practical, clear, and usable understanding - with a specific focus on agents, swarms, and the pace of change.
The tagline says it all: research-backed analysis for practitioners who build, not just browse.
Why I built it
AI moves fast. The problem isn't a lack of information - it's a lack of synthesis. Most coverage falls into two camps: breathless hype or impenetrable academic papers. Neither is useful if you're actually building things.
I wanted a publication that:
- Sources from primary materials - arXiv papers, technical documentation, and deployment case studies, not press coverage or Twitter threads.
- Takes positions - evidence-based analysis rather than hedged summaries that say nothing.
- Prioritises clarity over speed - getting it right matters more than getting it first.
- Serves practitioners - people who build systems, not people who just follow the news.
Six research verticals
Content is organised into focused research areas, each covering a distinct aspect of the AI landscape:
Agent Design
Architectures, tool use, and frameworks for building AI agents. From single-agent patterns to production deployment strategies.
Swarm Systems
Multi-agent coordination, swarm intelligence, and collective behaviour. How groups of AI agents work together - and when they don't.
Reasoning & Memory
How models think, remember, and build context. Chain-of-thought, retrieval-augmented generation, and long-term memory architectures.
Safety & Governance
Alignment, oversight, and the policy landscape. What matters for building responsibly, beyond the talking points.
Models & Frontiers
Frontier model developments, benchmarks, and capability analysis. What's real, what's noise, and what it means for builders.
Real-World AI
Deployment, robotics, embodied AI, and practical implementation. Where theory meets production and the friction nobody planned for.
How it works
Signals
Shorter, timely research analysis pieces. Typically 5-6 minute reads covering a specific development, paper, or trend with context and a clear takeaway.
Guides
Longer, foundational deep-dives. 10-13+ minute reads that explain a concept thoroughly with practical implications for builders and decision-makers.
Audio
Every article is available as audio for listening on the go. Queue articles and listen through the site's built-in player.
The workflow behind it
Swarm Signal uses a hybrid AI-assisted workflow - which is fitting, given the subject matter. Advanced AI tooling supports research, drafting, and synthesis, while I handle editorial direction, verification, and publication decisions.
The pipeline runs from topic research through article writing, Ghost CMS publishing, TTS audio generation, and deployment to the VPS. It's an end-to-end content operation that practises what it covers.
Built with
| CMS | Ghost (self-hosted) |
| Hosting | Docker on Hetzner VPS (same platform as tylerbuilds.com) |
| API | Custom Node.js API for audio, search, and content operations |
| Audio | AI-generated TTS with per-article audio files |
| Database | MariaDB (Ghost) + SQLite (API layer) |
| Reverse proxy | Nginx with Let's Encrypt SSL |
Agents, swarms, and the pace of change
Swarm Signal publishes new research analysis regularly. If you're building with AI or trying to make sense of where things are heading, it's written for you.