We monitor AI news – new models, libraries and tools – test them rapidly, and publish a short reaction on our blog.
How we work
No deep dives – the goal is speed and signal, not exhaustive analysis. We get the thing up and running with minimal setup, test it against the main use cases it’s designed for, and write a short blog post capturing first impressions, what worked, what didn’t, and whether it’s worth a closer look.
Our most recent work
Learning through experience: teaching the viral Hermes agent to automate our work
A 50-line python function outperformed every frontier LLM – With 100% accuracy
MiroFish: Is swarm intelligence worth the cloud bill?
Autoresearch: a closer look at the agent that runs its own experiments
Inside the MemPalace: Does the structure earn its keep?
OpenClaw for messaging: a closer look at WhatsApp and Telegram
