QM starts with a different agent question: how can a group share useful context and capabilities without erasing boundaries between people and rooms?
QM Is Trying to Solve the Company Agent Problem


QM starts with a different agent question: how can a group share useful context and capabilities without erasing boundaries between people and rooms?

A civic AI concierge can help Ralwegians find public police and fire information, but its real job is explaining the limits of what those records can say.

The Raleigh Agent Skill helps residents find useful answers about buses, permits, and parks without first learning where the city keeps everything.

As AI coding agents accelerate implementation, the bottleneck shifts upstream to spec creation. A practical walkthrough of how recorded stakeholder meetings, AI agent skills, and open-source profiles can break through the spec ceiling.


Raleigh publishes 178 public datasets. Most citizens never see them. I asked my AI agent to take a look.



A five-sentence Discord comment revealed a design philosophy I’m calling ‘architecture by leverage’ — choose infrastructure that already solves N problems, then only build what the gaps require. Here’s what it looks like in practice.

The complete guide to Hermes Agent’s multi-agent kanban system: durable task boards, the dispatcher loop, worker lifecycle, orchestrator patterns, and production safety engineering for coordinating AI agents across sessions

Notes on agent memory from years of building bespoke cognitive systems, and what changed when I found one simple enough to ship to other people.

How I built an AI research tool for n8n workflows without knowing TypeScript, using engineering discipline to solve the vibe coding comprehension paradox.

A comprehensive look at the latest AI productivity tools and agent technologies from the 2025 AIOS Bootcamp, including practical demonstrations and insights on how AI is reshaping workflow automation.