Blog
- 2026-10-17
Six checks to identify what customers will keep paying for as general-purpose AI models improve.
- 2026-10-17
How I researched managers’ work, turned requirements into testable scenarios, and supported changes to an enterprise CRM from prototype through implementation.
- 2026-10-15
Why Technical Product Managers are becoming the link between business goals, specifications, data, and agent systems in AI-native organizations.
- 2026-10-14
A guide for leaders and teams: four stages of moving to AI-assisted development, the signs of each stage, and practical steps for progressing further.
- 2026-10-14
How a Technical Product Manager differs from a Product Owner and an engineer, which skills the role requires, and when a team benefits from it.
- 2026-10-14
Lessons from Google Labs leader Josh Woodward on finding frontier ideas, recognizing early product-market fit, and transferring experiments into the core business.
- 2026-10-12
How the product manager role is changing in AI products, what employers expect and how to assess candidates
- 2026-10-11
A practical way to find, validate and choose the first AI opportunity in a company
- 2026-10-11
How to change processes, data and metrics so that AI implementation delivers measurable business value
- 2026-10-11
What responsibilities companies assign to Technical Product Managers, what experience they expect, and what to assess when hiring.
- 2026-10-11
Consulting, custom development and ready-made products: how AI implementation formats differ and when to choose each one
- 2026-10-10
How I built a presentation-generation product, split an agent's work into steps, and took it to production.