Illia Shapoval

Product Leader, AI practitioner

How I Set Up Context So AI Writes My Next PRD

Lufthansa Systems

Backbase

Luxoft

UKRSIBBANK BNP Paribas Group

Organise messy reality of a PRD —  Slack, meeting notes, and legal docs into context structured based on your workflow.

Turn scattered decisions into context your AI can use

First - populates the context as you go, second - updates the document based on the decisions made.

Build two skills that write the PRD the way _you_ work

Lean PRD template that I use to align marketing, architecture, legal and C-suite.

Use a lean PRD that actually aligns stakeholders

Build AI Agent Skills that Actually Work - 3 Hours Hands-on Workshop

Product Leader and Super IC at Google

Google

Disney+ Hotstar

Zynga

Anshumani Ruddra

Product Super IC at Google with 22+ years crafting experiences and blockbuster products

Cohort 04

Cohort 05

Most product builders use AI agents the same way they used search - typing queries and hoping for the best. That's leaving most of the value on the table.The teams pulling ahead aren't using better prompts. They're teaching their agents. Agent Skills are reusable, testable instruction sets that tell AI agents exactly how to handle specific workflows: your deployment process, your code review standards, your team's edge cases. Write one skill well, and every agent on your team benefits from it, every time, automatically.The problem: nobody is teaching product builders how to create them. Most documentation is written for a narrow technical audience, and the tooling is fragmented across Claude Code, Codex, and Gemini.In this hands-on workshop, you'll go from zero to a working skill installed in your own agent: one that reflects your real workflows, not generic templates. You'll also learn how to evaluate and improve skills systematically, so they get better over time instead of drifting.If you build or are hoping to build products with AI agents: this is the highest-leverage skill you can develop right now.

🤖 Learn to build procedural Agent Skills, transforming your professional mindset from solo prompter to manager of elite AI agents

Shift to an AI Management Mindset

Build Custom, Reusable Agent Skills

Leverage the Open-Source Ecosystem

Evaluate and Iterate for 10x Output

Product Managers: who use Claude Code or Codex daily but rely on ad-hoc prompts - and want repeatable, team-shareable AI workflows.

Entrepreneurs &amp; Founders: building AI-native products who need their agents to encode business logic, not just generate code on demand.

Tech Executives &amp; Product Leaders: who want their teams to stop reinventing prompts and start shipping a shared skills library.

Go from using AI as a generic chatbot to your own AI system that knows your work, saves you real time, and comes with ready-made Skills.

Ex-Google Director, Founder AI Over 50

Ancestry

Brett Bouchard

Ex-Google Director, 20+ yrs in tech, Founder of AI Over 50

Cohort 1

You chat with AI, and it still feels generic. The answers come back bland, the advice out there is rarely written for experienced people like you, and you keep re-explaining yourself and redoing the same work. And AI keeps changing every month, which makes now the right time to create a setup that doesn't go stale.AI only gets useful once it knows you. Your decades of experience are exactly what make that work, because good context is really just judgment, and you have plenty of it.In live, hands-on sessions, you'll set up your own AI system. Before without a system: a generic AI writes you a stiff client note you fix for 15 minutes, nods along with whatever you decide, and leaves you rewriting one update for every channel. After with your own system: it writes that note in your voice in 2 minutes, pushes back like a skeptic and catches what you missed, and turns one update into all your channels at once.You'll learn it from someone who lives on it. I spent 20+ years in tech, including time at Google, and I use these same AI systems every day to run my own solo business. Designed for experienced people over 50, peer to peer, with no hype and no condescension.

Set up your own AI system and make your decades of experience the edge

Set up an AI that knows you, so you stop getting generic answers

Turn your recurring work into reusable Skills

Run your AI as a system, not a pile of one-off chats

Get sharper answers and question what AI gives you

Turn your AI into a critic that strengthens your thinking

Get unstuck fast with live help and a group at your level

A senior professional who wants AI to save real time and sharpen their work, without learning to code.

A solo consultant, coach or business owner building their next chapter who wants an AI setup they control.

Someone semi-retired or working flexibly who wants to use AI on their own terms, for the projects and interests that still matter.

Be the PM who ships fast and doesn't produce slop.

Staff PM @ Meta | Wharton | Builder

Electronic Arts

Scher Rafay

Staff PM @ Meta | Ship AI to 1.7B DAU | Wharton

August '26 Cohort

<blockquote>You wrote the spec four weeks ago. Your engineer "kind of" built it. Your skip-level wants a quick sync. It's now Tuesday and you're still six alignment meetings away from shipping.You've tried the obvious moves to use AI. But the work takes the same time. Becoming an AI-Native PM, and actually seeing the benefits, requires you to rethink the process.This workshop teaches the PM job differently:<ul><li>Write a PRD in 10 minutes, sometimes after you've already built the prototype</li><li>Synthesize 30 user interviews in an afternoon</li><li>Generate 20 UX variations of an idea, and pick one with conviction</li><li>Design evals without an ML team holding your hand</li><li>Simulate your exec team's objections before the review, not in the room</li><li>Build prototypes when writing a spec is slower than building</li><li>Avoid AI tells in your work so it reads as yours</li></ul>Generate fast with AI, judge well, ship work that's good. Speed is the upgrade. Taste is still your job.Bigger payoff: shorter days, agents handling what you hate, more time on the work that drew you to product management.I built this workflow at Meta and taught dozens of PM workshops internally. This isn't another "become an AI PM" course. This teaches you the job, better, with AI.</blockquote>

Move from spec-and-wait to ship-and-iterate, with AI doing the heavy lifting and your taste running the show. 

Diagnose where AI fits in your PM workflow, and where it doesn't

Write PRDs in 10 minutes (sometimes after the prototype)

Synthesize research and generate variations without losing a weekend

Simulate exec reviews and XFN pushback before the meeting, not in the room

Build your own prototype when writing a spec is slower than building

Ship AI work that reads as yours. Avoid the tells, keep the speed and your voice

PMs who feel slow watching indie builders ship with AI on weekends, and want to compress cycles without losing their taste.

<blockquote>PMs at startups whose teams are going AI-native, and need to model what good AI-native PM work looks like.</blockquote>

<blockquote>PMs who don't build themselves anymore, but need to spot the difference between good AI-native work and slop.</blockquote>

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.

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.

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

Product managers who drive strategy, development, and launch of products.

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

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Identifying opportunities and validating what to build through customer research, experimentation, and prioritization.

Automating professional workflows with AI tools — productivity, operations, and task automation.

Designing and optimizing the context window for LLM applications — prompt structure, memory, and information retrieval.