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Artificial Curiosity Labs

Knowledge work
is being rebuilt.
I'm documenting it live.

Patterns for builders. What works, what doesn't, and what it actually feels like when you carry both customer accountability and real agent infrastructure.

Now

writing

AI-Native Work Patterns

How knowledge work changes when agents are real teammates. Writing about what actually works — fleets over single agents, markdown as source, llms.txt as distribution, and the cognitive modes that matter.

building

Agent Infrastructure

Running real agent workloads in experimentation accounts. Cost discipline, graceful EC2 lifecycle, observability without compliance overhead, moving secrets to GitHub Variables, and the unglamorous patterns that make agents sustainable.

experimenting

Agent Patterns

MCP servers, memory systems, multi-agent workflows, and the operational layer around them. Finding what generalizes when agents are daily tools instead of demos.

Latest signal

Per-topic curated briefs — agents, MCP, inference, AI coding, and the physical stack. Not a firehose.

Recent Writing