Ai product development

Why every company now needs to think and operate like a lab team | Josh Woodward (VP Google Labs)

Why every company now needs to think and operate like a lab team | Josh Woodward (VP Google Labs)

Josh Woodward, head of Google Labs, the Gemini app, and AI Studio, explains why every company needs to operate like a labs team in the AI era. He covers where great ideas really come from, the almost-possible framework, how to recognize product-market fit by watching people's eyes, when to kill an idea, the skills rising in value such as unlearning rate and explosive endurance, why roles are not collapsing into a single builder, and how to structure an internal lab that graduates ideas without being crowded out.

What it takes to be a top PM today | Robby Stein (Google Search)

What it takes to be a top PM today | Robby Stein (Google Search)

Robby Stein, drawing on his work on Instagram Stories, Reels, and AI-era Google Search, argues that the core craft of product management is making great decisions. He lays out a three-part process: understand people's underlying needs through jobs to be done, diagnose why a product is failing through root cause analysis and iteration, and refine the craft details that make a product work well and feel delightful.

The last roadmap | Claire Vo

The last roadmap | Claire Vo

Claire Vo argues that AI has rendered traditional product roadmaps obsolete. With AI accelerating execution, the bottleneck has shifted from building capacity to generating meaningful ideas and fostering strong conviction. She outlines three traps (backlog, parity, churn) created by combining AI with old roadmaps, and proposes a new approach centered on durable convictions, disposable features, and a "roadmap of ambition" driven by evidence and bold experimentation rather than fixed feature lists.

How to build products on a moving frontier | Dan Shipper (Every)

How to build products on a moving frontier | Dan Shipper (Every)

Dan Shipper, co-founder and CEO of Every, advocates for a dedicated 'labs team' to navigate the rapid evolution of AI capabilities. He argues that traditional product development struggles with the 'moving frontier,' proposing a model where a small, experimental lab explores new AI ideas and capabilities, while the main product team focuses on scaling existing offerings. Shipper outlines how to establish and run such a lab, from team composition ('pirates' and 'architects') to rigorous experimentation, dogfooding, and a structured pipeline for integrating successful innovations into the core product, enabling continuous disruption and growth.

Shipping Production AI Inside Government — William Tarr, Ministry of Justice (DO NOT PUBLISH)

Shipping Production AI Inside Government — William Tarr, Ministry of Justice (DO NOT PUBLISH)

The UK Ministry of Justice Justice AI Unit operates as a startup within government, deploying engineers directly into prisons and probation offices. This 'forward deployed' model enables rapid, user-centric AI product development, overcoming bureaucratic hurdles by prioritizing real-world feedback and agile implementation to empower frontline staff and solve critical operational challenges.

How to Build AI-First Organizations — with Jacob Miller and Jeremy Mumford

How to Build AI-First Organizations — with Jacob Miller and Jeremy Mumford

Jacob Miller and Jeremy Mumford, authors of 'Architected Intelligence', discuss the enduring principles for building successful AI products and organizations. They cover why velocity is the only durable moat, why hallucinations are a data curation issue, and the proper progression from skills to workflows to agents, emphasizing a shift from focusing on models to focusing on process and speed.