AI Field Notes
Opinions from the trenches
Short, original takes on AI, agentic systems, and security — the kind of thing we’d tell a client over coffee. These are starter notes the founder will expand over time.
Agentic AI
Why human-in-the-loop beats full autonomy (for now)
The fastest way to lose trust in an AI system is to let it act unsupervised on day one. We ship agents with checkpoints on anything irreversible — spend, deletes, external comms — then widen autonomy only where the track record earns it. Confidence is something you accumulate, not assume.
Governance
The AI governance gap most SMBs miss
Most small teams adopt AI tool-by-tool, with no view of what data is going where or who can do what. The gap isn’t the model — it’s the missing access controls, logging, and policy around it. A lightweight governance layer up front is far cheaper than the cleanup after a leak.
Supply Chain
Tariffs are a data problem
Everyone treats tariffs as a policy problem, but on the ground it’s a data problem: most operators can’t see their exposure in dollars until the invoice lands. Get the classification and country-of-origin data clean and the mitigation strategy almost writes itself. That insight is exactly why we built SupplyMind.ei.
Security
Identity is the new perimeter — act like it
The firewall stopped being the front door years ago; identity is. Most breaches we assess trace back to a stale account, an over-privileged token, or MFA that was never enforced. Tighten identity and least-privilege access first — it buys you more security per dollar than almost anything else.
Sample / teaser content — a running series the founder will expand.