Current AI development is architecturally inverted—scaling neocortical function whilst ignoring foundational layers that neuroscience suggests aren't optional. We explore what building from the brainstem up might actually require.

Most architects treat orchestration and choreography as competing patterns. We use both deliberately - one for data plumbing, one for business logic - and it changes how we staff projects and protect IP.

We spent six months and three complete rebuilds building a SvelteKit boilerplate with AI tools. Here's what we learned about token economics, the agreeability problem, and where humans must stay in control.

What if we monitored system health through sound instead of screens? We built a proof-of-concept that turns log data into brown noise and musical patterns—and discovered why astronomy's accessibility research might revolutionise how we monitor complex systems.

Companies report 95% failure rates on GenAI pilots because they're expecting intelligence. Understanding LLMs as exceptional indexing wrapped in natural language generation—not artificial intelligence—is the key to actually getting ROI.