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Artwork for Habit Machine: AI Product Management

Habit Machine: AI Product Management

Vladimir Dyachkov PhD
Product Management
Artificial Intelligence
Design Thinking
Agile
Lean Startup
Agile Methodology
User Research
Launch Strategy
Two-Week Sprint
Validated Learning
Organizational Architecture
Two-Week Loops
Behavioral Telemetry
Activation and Retention
Evidence-Based Decision Making
Experimentation
Machine Learning
Behavioral Default
Data Gravity
Ecosystem Interlock

AI changes everything. But human nature stays the same. Learn to build products that respect attention, reduce friction, and earn repetition. AI has turned product management upside down. Static interfaces are dying. Users now expect products that anticipate, adapt, and execute without asking. The old playbook — roadmaps, backlogs, stakeholder alignment — still exists. It's just no longer enough t... more

PublishesDailyEpisodes13Founded2 months ago
Number of ListenersCategories
ManagementBusiness

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Artwork for Habit Machine: AI Product Management

Latest Episodes

Episode 14: AI-Native Product Infrastructure | Habit Machine Podcast

Why Artificial Intelligence Is Not a Feature Toggle—It Is the Infrastructure Every Modern PM Must Conduct

Episode Overview

Treating AI as a chatbot you bolt on is career suicide.... more

Episode 12: The Modern Product Leader | Habit Machine Podcast

Episode 12: The Modern Product Leader | Habit Machine Podcast

Why the Backlog Administrator Is Dead, and the Equilibrium Engineer Is the New Survival Skill

Episode Overview

The mo... more

Episode 11: The Six Launch Killers | Habit Machine Podcast

Why Great Products Self-Destruct on the Launchpad—and the Six Predictable Patterns You Can Defuse Before They Trigger

Episode Overview

A brilliant competitive moat means nothing if the lau... more

Episode 10: The New Moat | Habit Machine Podcast

Why Features No Longer Protect You, and How Behavioral Defaults, Data Gravity, and Ecosystem Lock-In Build Unbeatable Products

Episode Overview

The old playbook—panic, add features, hope a better sp... more

Episode 9: The AI Multiplier | Habit Machine Podcast

How Artificial Intelligence Accelerates Insight Without Replacing Product Judgment

Episode Overview

Raw data is slow to interpret, but throwing AI at it without discipline just adds noise dresse... more

Episode 8: The Evidence Engine | Habit Machine Podcast

How Behavioral Telemetry Sharpens Judgment, Replaces Vanity Metrics, and Closes the Loop Between Shipping and Learning

Episode Overview

Execution rhythm means nothing if it's directed by the l... more

Episode 7: The Embedded Marketing Engine | Habit Machine Podcast

Episode 7: The Embedded Marketing Engine | Habit Machine Podcast

Why Marketing Starts Before Code and Runs in Parallel with Design Thinking, Validation, and Delivery

Episode Over... more

Episode 6: The Agile Execution Engine | Habit Machine Podcast

Episode 6: The Agile Execution Engine | Habit Machine Podcast

How Two-Week Learning Loops Turn Validated Insight Into Shipped Value Without Sacrificing Clarity

Episode Overview

Va... more

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Frequently Asked Questions About Habit Machine: AI Product Management

What is Habit Machine: AI Product Management about and what kind of topics does it cover?

The show dives into how AI is reshaping product leadership, shifting the focus from traditional roadmaps and backlog management to behaviors, systems thinking, and rapid, data-informed experimentation. Across episodes, hosts discuss turning AI insights into practical product decisions, elevating telemetry, experimentation, and behavioral design as core capabilities. They emphasize building products that anticipate user needs, emphasize adoption and retention, and align marketing, design, and engineering to reinforce durable value. A recurring thread is the move from feature wars to habit formation, data gravity, and ecosystem leverage as durable defenses in AI-enabled markets. Notable ideas include reframing product leadership as a behavior... more

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Habit Machine: AI Product Management launched 2 months ago and published 13 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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