Founder notes

A 10-part series, in reading order.

Part 1

How I Work With Founders as a Solo AI/Product Partner

How I help founders move faster with focused delivery, lightweight structure, and hands-on product and engineering work.

2 min

Part 2

The concrete outputs I aim to deliver in the first two weeks of an engagement to create momentum and clarity.

2 min

Part 3

Why I used consulting work to shape product direction, reduce risk, and build a platform around real demand.

2 min

Part 4

A practical framework for deciding when external help speeds delivery and when building internally makes more sense.

2 min

Part 5

How a manual, high-friction workflow was turned into an auditable AI-assisted process in three focused weeks.

1 min

Part 6

The delivery principles I use to keep AI projects reliable, observable, and tied to measurable business value.

1 min

Part 7

Five execution mistakes that make AI automation projects expensive, brittle, and disappointing for SMB teams.

1 min

Part 8

How I choose the tools behind production AI systems based on observability, reliability, operational fit, and cost.

1 min

Part 9

The pre-build checklist I use to define scope, readiness, ownership, and rollout before automating a workflow.

1 min

Part 10

A clear quarterly roadmap for offer positioning, delivery systems, and product priorities across my portfolio.

1 min