Customer discovery and GTM experiments drive the work.
Building Trust is where Adam puts From Customer to Code into practice. Start with the people you want to serve: understand their problems, test the proposition and run go-to-market experiments. Explore who will buy, what matters to them, how to reach them and what earns a commitment. Use that evidence to decide what to build, change or stop.
Think roughly 80% customer, 20% code. That is the emphasis behind the approach. Customer conversations and experiments in positioning, pricing, outreach and sales shape the product before, during and after development.
Agentic AI connects that learning to the full stack: product management, specification, architecture, the customer interface, back-end engineering, DevOps, testing, deployment and live operation. A knowledge worker can work across these disciplines, directing specialist AI agents and checking the results.
The aim is a shorter path from a customer question to evidence, and from evidence to a working product. Discovery, go-to-market experiments and delivery continue together. That is the discipline we help your people develop.
Explore Building TrustGreg’s work on agents and automation brings the same discipline to repeatable tasks: clear purpose, testing, human judgement and someone responsible for the result.