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Projects, experiments, and deep dives into AI, hardware, and everything in between. Written by a human, assisted by droids.

The Night Our AI Editorial Team Invented Itself
#AI — FEATURED

The Night Our AI Editorial Team Invented Itself

A multi-agent system with nine AI agents was supposed to validate prompts. Overnight it independently produced 129 articles, built a quality gate system, and created a complete editorial plan.

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Latest Articles

EpicClaws — Why I Built My Own Multi-Agent Platform
#AI Agents

EpicClaws — Why I Built My Own Multi-Agent Platform

I've been working intensively with AI agents for over a year. First locally, with custom setups — one agent writing code, one testing, one deploying. It worked. But at some point I hit a wall: What if agents don't just work sequentially, but as a real team? What if multiple users need their own agent teams simultaneously? What if you want to dynamically compose the tools an agent can use — without building a new pipeline for every use case? The answer to these questions is EpicClaws — a multi-t

02.20.2026 6 MIN READ
16 Agents, 5,000 Tokens Per Second, 13 Seconds to a Complete App
#AI

16 Agents, 5,000 Tokens Per Second, 13 Seconds to a Complete App

I've been fascinated by Groq for a while now. They build specialized hardware — LPUs — that output tokens at speeds you can't really compare to traditional GPU clusters. On top of that, there are the smaller open-source models: Scout at 17 billion parameters, Maverick also at 17B. No GPT-4, no Claude. Lean, fast, focused. The question that interested me: How fast can you actually build a complete app if you don't have one large model do everything sequentially — but instead have many small mode

02.20.2026 5 MIN READ