Cassie Kozyrkov

Decision Making in the Age of AI

Decision Science Expert, Author, Speaker. Former Chief Decision Science Officer at Google. 

Top tips to improve the quality of your decisions and outcomes in work and life.

The most important lesson in decision making

My 3 step framework to build, test, and launch reliable AI systems that drive results.

How to build and test reliable AI systems

The best practices to build a healthy data culture.

Teach your team to be better decision-makers

Master the most powerful decision making protocols through proven tools, practical frameworks, and real-world applications

AI Decision Coach & Product Leader

Vivek Juneja

20 years of leading teams, building products & managing large projects at scale

Feb 2026

June cohort

AI tools can now draft your emails, summarize your data, and generate recommendations in seconds. But the decisions that shape your career, your team, and your organization still depend on how you frame the problem. Most leaders use AI to move faster. The best leaders use it to think more clearly. In this course, you will learn a practical method for framing high-stakes decisions and practice using AI as a thinking partner, not a decision-maker. You will work with the Winning Frame methodology, use AI in three specific roles (Mirror, Challenger, and Reframing Generator), and walk away with a repeatable process you can apply to real decisions at work and in life.

Make better decisions with AI, not despite it

Learn the Winning Frame method for reframing decisions before AI runs with them

Leaders and managers adopting AI tools who want to make better decisions, not just faster ones

Senior ICs and founders facing ambiguous, high-stakes choices where AI outputs are helpful but not sufficient

Anyone who has caught themselves accepting an AI recommendation without questioning the frame it was built on

Develop confidence in your AI-fluency, to the extent that you can make million dollar decisions that inspire your team and your board.

Operator running a 14-agent AI business.

Microsoft

Meliora

Nine Entertainment

Singtel

Krish Raja

Ex-coder, product strategist and proven revenue leader in the technology sector.

Cohort 1

Every senior leader I have sat with in the last year has the same private tell. They want to be more AI-confident. They know their team is self learning in a language they don't have time to get across. They know the next panel question, the next board question, the next hire, the next all-hands is going to expose the gap. They have been buying time outsourcing the final decision.AI is not software. Software was built to be used by humans. Agentic AI is built to be used by other AI. That shift changes the shape of a business, the shape of an org chart, and the shape of executive work itself. Leaders who operate for the next ten years the way they operated for the last ten are at risk. Not because AI replaces them. Because the leaders next to them become three times more capable, and the race to the bottom on efficiency does the rest.The way out is not another literacy deck. It is reps. It is fingers on the tools. It is the practice of operating with AI daily, in public, in front of peers who will not let you bluff. AI learned to speak English. You have not learned to speak AI. This programme is four weeks of doing exactly that, anchored to something real you have to ship.

Four weeks to level up and close the gap on your AI potential.

Walk out with the decision made

Stop spending six figures on the wrong vendor

Walk the walk before you talk the talk

Become the senior operator with the clearest read on AI in your company

Build your private, portable memory web

Run Mind Set → Mind Map → Mind Make on every future AI call

Need to show strength in publicYou're being asked to present your AI strategy on stage, to a board or to inspire your team.

On the hookYou own the budget, and need to make a high value decision on AI in the next 90 days.

The glue in the businessYou're the one tasked with operationalizing AI inside your org and need more clarity on where to start.

Make ambiguous decisions quickly, reduce risk, and sell the direction you choose

Former Amazon VP; 70+ patents; led 800+

OpenAI

Netflix

Anthropic

NVIDIA

Stripe

Ethan Evans

Former Amazon VP (15+ years); 70+ patents; led global teams of 800+

Most professionals don’t struggle because they “can’t decide.” They struggle because decisions are messy: incomplete data, loud stakeholders, moving targets, and the fear of being wrong. The result is hesitation, endless analysis, or rushed calls that create churn and erode trust.This workshop gives you a practical system to make high-quality decisions fast, without gambling.You’ll learn a repeatable decision loop you can use immediately: Decide → Ship → Watch → Adjust. You’ll learn how to decide at ~70% certainty — moving with speed while staying grounded in signals, risk framing, and reversibility. You’ll leave with a monitoring plan for your next real decision so you know exactly what to watch, when to revisit, and what “success” looks like.And when things go sideways (because they will), you’ll have a crisis recipe that builds trust: clear ownership, clean communication, and fast learning instead of blame.Finally, you’ll get specific ways to use AI as a decision accelerator — to sharpen options, pressure-test assumptions, and surface risks — without outsourcing your judgment.

Become a trusted decision-maker: decide at 70%, ship, monitor, adjust — effectively handle crises and use AI to strengthen your judgment.

A repeatable decision loop

How to decide at ~70% certainty (without gambling)

A clear monitoring plan for your next decision

A “crisis recipe” that builds trust

Specific ways to use AI without outsourcing judgment

High-velocity ICs: Owns ambiguous work. needs a fast, safe decision loop to ship, monitor, and adjust without overthinking

People leaders: Makes calls with imperfect info, wants a repeatable system to decide, align stakeholders, and handle crises with trust

Cross-functional leads: PM/ops/eng/sales/etc, needs better decisions across teams, clear monitoring, and AI leverage without losing judgment

Learn to achieve reliable AI outcomes without prompt packs, system prompts, or agent tricks—use structured inputs for consistent results.

Creator, AIgogy Framework™ | Advisor

Rockford University

Silali Banerjee

Creator of AIgogy Framework™ for reliable, structured AI outcomes

July2026Cohort

Pretty much anyone using an AI chatbot has gone through the frustration of a response that isn't exactly what they wanted. Problems include hallucinated, drifted, generic, and inconsistent output. Sometimes all of these happen; other times, one or more.People try prompt improvisation, prompt tweaking, prompt packs, prompt libraries, trial and error, tries and retries. Sometimes it works; other times, it does not.Too many details in a prompt cause prompt bloating and do not solve the problem. Adding context helps, but too much context creates problems.AI agents and skills do not solve this problem with open-ended work either.People give up, thinking LLMs are probabilistic and cannot work better.That is not true.It may never be as deterministic as systems in terms of consistency and reliability, but it can be mostly consistent and reliable.Similarly, users can create a path with an LLM using the right framework. Users can guide their request through the LLM toward their desired outcome by using the right framework.Learn to use this science-backed, proven framework.It is based on research (<a target="_blank" rel="noopener noreferrer nofollow" href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618">https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6516618</a>) and has been tested in practice.<hr>

User's framework for moving beyond trial-and-error prompting with any LLM.

Achieve More Reliable AI Outcomes

Reflect Your Voice and Working Style

Embed Your Judgment and Standards

Reduce Rework and Increase Leverage

Leaders (Decision Owners) Leaders accountable for outcomes who need AI to reflect their judgment without reviewing or correcting every output

Operators (Execution Owners) Operators responsible for consistent delivery who need AI to produce aligned outputs without repeated rework

Knowledge Workers (Expertise Carriers) Experts who need AI to apply their domain knowledge and standards, not generate generic outputs.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Engineers and engineering leaders who build, deploy, and scale software systems.

Broad professional audience — content relevant across many roles and functions.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Decision Making in the Age of AI

What you'll learn

Why this topic matters

You'll learn from

Cassie Kozyrkov