Posts exploring how to gain deeper customer insights or roleplay user scenarios to guide product decisions.
AI
We didn’t get here by asking normal questions. This post began as an experiment: what happens if I stop trying to get answers from an AI, and instead try to see the world through its eyes? Rather than asking what I need, I asked: what would it think? What
AI
How AI Agents Are Reshaping Modern Work—and What You Should Do About It When Humans Manage AI Agents (Not Just People) A profound shift is unfolding in product organizations: teams are moving from humans managing humans to humans managing AI agents. While GPT’s forthcoming “PhD Quality AI Agent”
AI
Every generation grapples with trust and verification. Imagine a medieval town square—the lively hum of merchants, the smell of fresh produce, the clang of metal from the smithy. In that rudimentary setting, a handshake and a few stern town guards often sufficed as “verification.” Sure, abuses happened, but most
Customer Insights & Roleplaying
Working at Rackspace Technology has given me a front-row seat to the intricate dance between open-source principles and commercial viability. Our journey with OpenStack has been one of balancing transparency and innovation while finding ways to differentiate and monetize responsibly. At Rackspace, we’ve leaned into the Red Hat playbook—
Product Leadership
It’s that time of year again—Spotify 'Wrapped' season. Everywhere you look, people are sharing colorful snapshots of their listening habits: the Top Artists they couldn’t stop streaming, the Most-Played Song that got them through the tough days, even quirky trends like “Your Listening Mood at
AI
With the rapid evolution of generative AI (Gen AI) and AI Agents, companies are rethinking the balance between in-house capabilities and specialized SaaS solutions. Klarna, the global financial services platform, recently severed ties with certain SaaS providers, opting instead to leverage AI to build tailored solutions internally. This decision underscores
Agile Development
There’s a powerful scene in the movie Jobs that perfectly illustrates a common mistake product teams make. In the scene, a group of technical experts is trying to sell a store clerk on a "computer." To the engineers and developers, the computer is a marvel of technology—
AI
A few days ago, a friend who’s a lawyer asked me something I’ve been hearing a lot lately: “Is AI going to take my job?” It’s an honest question that many professionals are wrestling with. My response surprised him: “One day, it probably will.” But before he