Anatomy of Alfred: How the PM Agent Uses LangGraph for Autonomous Work

How does Alfred juggles dozens of complex product activities, from grooming a backlog to running user research, as if it were a seasoned human PM?

Why Hybrid Search is the Secret Weapon Behind Alfred’s Product Discovery

When it comes to AI-powered product discovery, vector search is the usual suspect. It’s powerful, and it’s great at understanding semantic meaning. But at Alfred, we recognized a critical truth: relying on vector search alone leaves crucial insights buried. To truly understand customer feedback and drive your product forward, you need a more sophisticated approach: hybrid search.

The PM's Blind Spot: Why Unintended Consequences Will Kill Your Product

There’s a dark side to this relentless focus on innovation: every feature has a shadow, a set of unintended consequences that we ignore at our peril.

In Defense of Traditional Machine Learning (Trad-ML)

I believe strongly in Gen-AI's potential and use it daily, but as an engineer, I still see lasting value in traditional machine learning.

Unlocking ML/AI Success: The Power of Customer-Obsession

ML and AI are built on math, but their real impact comes from a deep focus on customer needs and delivering meaningful outcomes.

Preparing for Coexistence: Comparing AI Employee Peers on Human Performance Benchmarks

AI employees will soon join the workforce, posing new coexistence challenges—let’s aim for a future of harmony between humans and AI.

AI and the Future of Business Decisions: A Psycholinguistic Perspective

Most business decisions are low-stakes and reversible—ideal for streamlining and boosting efficiency through smarter, faster choices.

Prompt Engineering Best Practices for Product Managers Using ChatGPT

Prompt engineering is the art of crafting inputs to get better results from AI. These 5 tips help product managers use ChatGPT effectively.

AI Nativity Index (AINI): A Self-Evaluation Tool for CEOs and Functional Leaders

“We’re using AI” isn’t helpful. “We’ve rebuilt how we work around it” is.