Articles
Longer essays on AI, product judgment, discovery, and building with modern tools.
Jun 25, 2026
11 min readThe Builder Team: How AI Changes the Shape of Product Development
By Cristiano Pierry
AI-native product teams will be smaller builder pods with stronger shared context, executable specs, earlier evaluation, and clearer human ownership.
Jun 22, 2026
3 min readThe Modern Wildlife Photography Mindset: Protect the Shutter Speed, Trust the ISO
By Cristiano Pierry
A sharp, slightly noisy wildlife image usually beats a clean miss; modern cameras make that exposure tradeoff easier to trust.
Jun 22, 2026
6 min readThe Evaluation Layer Is Becoming the Product
By Cristiano Pierry
AI product teams need evaluation as a visible product surface, not a late report card, because fluent demos can hide weak or unsafe judgment.
Jun 21, 2026
6 min readThe Work Is Not Done Until It Is Reviewable
By Cristiano Pierry
AI-assisted work is only mature when the artifact carries a review surface: intent, evidence, checks, privacy, and human judgment.
Jun 8, 2026
15 min readThe Product Manager’s New Operating System
By Cristiano Pierry
AI-native product work rewards PMs who can turn intent into artifacts, inspect evidence, and own judgment across faster operating loops.
Jun 7, 2026
12 min readBuilding a Photographer’s Guide with LLMs
By Cristiano Pierry
A Bosque photography guide becomes a product case study in turning messy research into trusted, structured, useful AI-assisted artifacts.
Jun 5, 2026
3 min readThe AI Adoption Gap Is Becoming a Planning Problem
By Cristiano Pierry
AI-assisted teams and traditional planning rituals are now using different clocks, forcing organizations to recalibrate estimates, expectations, and execution habits.
Featured talk
AI, Judgment, and the Future of Work
A practical conversation about AI, judgment, agency, and the future of work.
Open talk + HTML deck →
May 27, 2026
9 min readWe Risk Building the Wrong Things Faster
By Cristiano Pierry
AI can help companies build faster, but without sharper product judgment, stronger architecture, and outcome-based measurement, they risk creating more software without more user value.
May 26, 2026
12 min readAI Homework
By Cristiano Pierry
AI adoption becomes real when teams rebuild one recurring workflow around sharper intent, visible evidence, verification, and human-owned judgment.
May 25, 2026
7 min readHuman Intent Is the Next Operating System
By Cristiano Pierry
Frontier tools can become a new operating layer between human intent and digital services, reducing the cognitive load software has pushed onto users.
May 25, 2026
5 min readThe Next-Week AI Playbook
By Cristiano Pierry
Teams can make AI adoption concrete by redesigning one real workflow around evidence, reviewable artifacts, and accountable human judgment.
May 24, 2026
9 min readThe Future of Streaming Search Is a Conversation
By Cristiano Pierry
Streaming search is moving from exact-title retrieval toward conversational discovery that understands mood, context, constraints, and catalog truth.
More articles
If AI Can Do Your Job, You Were Probably Measuring the Wrong Work
AI makes visible work artifacts cheaper, which raises the standard for judgment, accountability, and the real work underneath the work.
The Frontier Recommendations PM
Frontier coding agents can help product managers connect user intent to algorithmic system behavior across recommendations, search, personalization, and AI discovery.
Do More With the Same, Not the Same With Less
AI should help teams do more with the same people by reducing handoffs, increasing builder range, and giving product judgment more cycles.
The 20/70/10 Rule for Working With AI
The 20/70/10 model keeps AI workflows fast without letting speed replace context, verification, judgment, or ownership.
Why I Built Codex Log Viewer: Treating User Intent as a First-Class Audit Trail
Codex Log Viewer turns local Codex sessions into a searchable, privacy-conscious audit trail for the human intent behind AI-assisted software work.
Using AI to Make Promotion Reviews Fairer
A structured AI workflow for making promotion review prep more consistent, evidence-backed, and accountable without replacing human judgment.
What Is AI? How Does It Impact Us?
AI is a new capability layer that can make product teams faster, more creative, and more effective, but only when paired with strategy, judgment, and responsible guardrails.
How Much More Can We Do With the Same?
AI changes how product teams ideate, prototype, evaluate, and launch. The real leadership challenge is turning that speed into better judgment and customer value.
The Missing Layer in AI Adoption
AI changes who can contribute. But only if companies remove the friction between having an idea and making something real.
Move Fast, But Don’t Break the Magic
Why AI product teams need release systems that protect quality, trust, and the workflows users depend on.
How AI Is Moving Team Collaboration Into Working Software
AI-assisted development is making prototypes a shared workspace where teams can shape product ideas, narrative, and experience inside working software.
Taste, Trust, and Truth: How to Evaluate AI-Powered Discovery
Once a discovery system starts speaking, accuracy alone is not enough. You have to evaluate fit, trustworthiness, and product impact together.
The 5 Things AI Can't Replace
AI creates abundance, but discovery decides what wins. Taste, context, exclusivity, trust, and distribution become scarcer and more valuable as model capability spreads.
How I Would Train a New PM for an AI-Native Discovery Team
A ninety-day approach to product management in search, personalization, experimentation, and learning for AI-native discovery teams.
The Early Adopter Tax
The real return from early AI adoption is not mastering temporary tactics. It is building the judgment to evaluate, redesign, and govern the work before the tools make it look easy.
How We Are Failing the Next Generation
Too many companies treat early-talent recruiting as a low-accountability process, creating candidate experiences we would never tolerate in our own products.
Programmer vs. Computer Scientist
Why AI getting better at writing code does not make computer science less valuable; it makes depth of judgment more important.
The Future of Git in the Age of LLM Coding
We stopped thinking about saving documents. We will stop thinking about committing code. Source control is about to become invisible.
Lessons from Building with AI: Developing the Connect-K Game
From a 3D cube in space to a published multiplayer experience — key lessons on working with AI coding tools that every builder should know.
How AI Tools Are Raising the Bar for PMs
What building software with my son taught me about the future of product management when the gap between idea and working software collapses.
How New Graduates Can Win in an AI World
Entry-level roles aren't disappearing — they're becoming more technical, more autonomous, and more outcome-oriented. Here's where aspiring PMs should focus.
Lean In, Learn, Build: How Did You Become a Better Product Manager This Week?
The age of AGI is here. For product managers, the very nature of our profession is undergoing a fundamental shift. Will the traditional PM even exist 18 months from now?
Python or Lovable? The Role of Modern AI Tooling in Product Management
Should aspiring Product Managers invest in learning Python, or double down on modern AI tools like Lovable, v0, and Replit?
How LLMs Are Revolutionizing the Search Experience: A Real-World Example
A bike helmet shopping journey shows how LLMs are transforming search from a list of results into an intelligent conversation.