01
AI agents are easy now. AI ops is the hard part.
The model is not the moat. The operating layer around the model is where the value compounds.
MDI LABS notes
AI agents are the visible part. Operations are the business.
Notes on how we think about agentic systems, context, approvals, workflow design, and the boring parts that make AI useful after the demo is over.
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02
Context before agents.
Most failures are not dramatic. They are tiny context gaps that quietly break the workflow.
03
Agent skills are the new workflow layer.
Skills, tools, MCP-style connectors, and clean instructions are how agents become useful at real work.
04
Human-gated autonomy.
The practical path is not full autonomy. It is letting agents prepare the work and asking humans to approve the parts that matter.
05
Agentic engineering for service businesses.
Start with the leak: missed calls, slow replies, poor follow-up, stale CRMs, and owner bottlenecks.