AI in practice

How I weave AI through product leadership

Five operating pillars with the exact plays, tooling, and outcomes hiring leaders ask about.

Playbook pillar

Discovery

Granola turns interviews into searchable insight cards while a custom GPT answers follow-up questions instantly.

Use case 1

Discovery in hours, not weeks

What we used to do

We captured interviews in scattered docs, so evidence was slow to surface and each squad hunted through notes on their own.

AI solution

Granola auto-summarises every call, Notion keeps a living insight hub, and a custom GPT lets anyone query themes or pull verbatim quotes instantly.

Tools used
  • Granola
  • Notion
  • Custom GPT (ChatGPT)
Outcome

Discovery cycles dropped to 18 hours, and roadmap debates now open with shared evidence instead of personal recollection.

What next

Pipe the same insights into quarterly OKR reviews so leadership sees fresh customer proof alongside priorities.

Ready to implement?

Let’s tailor this AI playbook