I use agents to sharpen the decision and move repeatable work faster. People keep the judgment, context, and accountability.
AI helps me think better, then do more.
Get clear on the decision before asking AI for an answer.
Situation, people, outcome, constraints — and a role that fits the problem.
Questions one at a time, before a recommendation. The interview shows what I left out.
Test the assumption, find the weak argument, make the case for another path.
A specific task, a definition of good, then I review against the outcome.
Agents draft. People decide what leaves the building.
Influenced by Geoff Woods’ The AI-Driven Leader.
The operating circuit
A four-stage operating circuit. Diagnose the constraint, architect the system, automate the repeatable work, then compound the result into the next cycle. Human judgment stays on the decision. Repeatable work moves around the loop.
An agentic GTM brain built by agents and executed by humans.
Reporting and pipeline, chief-of-staff duties, marketing drafts, wikis, dashboards, the revenue brain. Each agent is its own service with its own tests. Every send waits at a human gate.
Outputs included: Quarterly Rocks Dashboard, Essentialism Planning, GTM wikis that powered social media posts, and a customer graph built from connected systems data.
Revenue Brain
Business signals from CRM, calls, email, Slack or Teams, documents, social, and product telemetry enter the Revenue Brain. Synthesis, extraction, and matching happen in the hub. Human review gates and an oversight layer sit on the work. Outputs are pipeline, content, and reporting.