Amplitude AI Analytics

Build AI Workflows That Actually Save PM Time

June

Amplitude

Intercom

Enzo Avigo

Amplitude, June.so, Intercom

A simple decision tool for any PM task — know immediately whether AI helps, enhances, or gets in the way.

The Automate/Amplify/Skip Framework

Build reusable Claude prompts for PRDs, async updates, and data summaries you can adapt to your own work.

3 Workflows You Can Run This Week

Spot the tasks where AI adds steps instead of removing them, so you stop reaching for it when it doesn't help.

Know When to Skip AI Entirely

In this course, you'll build real AI systems for your actual work - the kind you open on Monday morning and use.

Marketing Consultant. Founder. Teacher.

Silvi Specter

Marketing consultant. Founder. AI systems builder. Previously: Early Lemonade.

Cohort 2

Cohort 3

AI is supposed to save you time. So why does it still feel like you're doing everything yourself?That's the difference between "using AI" and having AI systems. This course gets you there.In five weeks, you'll build custom voices, AI projects, and automation workflows you'll use every day. I used these systems to go from 40 to 20 hours/week on marketing work while growing from $18k to $25k MRR.Here's what you'll gain from this course:→ Know exactly when to use Claude, ChatGPT, and Gemini - and which other tools are worth your time→ Stop rewriting AI drafts - get content that sounds like you out of the gate→ Create content and campaigns faster with AI projects that have your briefs, audience research, and brand guidelines→ Stop losing afternoons to follow-ups, meeting notes, and reporting - build workflows that handle repetitive stuff automatically→ Turn transcripts and research into clear customer insights in under 1 hour→ Give your team an AI system to work from so you're not fixing everything yourselfYour AI tools will know your brand, audience, and how you like to work. What used to take half a day will take an hour. And the time you lost to execution will finally be free.

Stop drowning in execution. Build AI systems that save you 5-10 hours per week.

Reclaim 5-10 hours weekly by systematizing the executional work that drowns you

Stop wondering if you're using AI the right way - and get ahead of it

Finally cut through AI tool FOMO and build your focused tech stack

Ship customer-centric content that actually sounds like your brand (not ChatGPT)

Get customer insights & strategy feedback you couldn't get on your own

Build delegation systems so others execute at your quality level

You should be able to apply your projects to the day-to-day work you need to save time on

Active work to apply AI systems to

In-House Startup Marketerswho are doing the work of a full team, and leadership assumes AI can fix that. You need systems to make it true.

Consultants &amp; Fractional Executiveswith clients who want faster &amp; cheaper work because "AI can do it." You need systems to make it happen.

Solo Operators Wearing Multiple Hatswho handle everything with no team to hand off to. You need infrastructure that works when you're not.

Build a working AI system connected to your real PM tools - research, prototypes, evals, and automation in 4 weeks.

20 years in product. 200+ PMs coached.

Indeed

Bazaarvoice

Will Lowrey

 20 years in product leadership. Indeed, Bazaarvoice, startups. 200+ PMs coached

Founding Cohort

Every PM has tried AI by now. Most stopped with chatbots.You've pasted in a PRD. Maybe you even ran a competitive analysis once. But none of it stuck. You don't have anything connected to your actual tools. It's better than before, but still clunky. The gap isn't knowledge. It's that nobody taught you how to build it - and the LinkedIn posts and tiktok videos are just one video after another of what could be. You've got to take it from reading/watching to DOING.Week 1: Run a competitive analysis in 20 minutes that used to take half a day. Build a reusable skill so the next one takes &lt;3 minutes.Week 2: Learn what evals are and why they're the skill that separates AI tinkering from AI building. Build a practice set that tells you whether any AI output is good enough to ship.Week 3: Wire Claude into your actual stack - Slack, Linear, GitHub, Google Docs. Build a clickable prototype from a PRD and test your skills on live data instead of copy-pasting.Week 4: Chain it all into a PM operating system that runs on a schedule.We start from zero. Pre-work covers the terminal, prompting, and your first skill before the first session.You don't leave with notes. You leave with a working system.

Build AI workflows connected to your real tools, tested on your real work.

Do PM research in 20 minutes that used to take half a day.

Learn to Eval AI output - not just doing a vibe-check

Connect Claude to your tools and build a working prototype

Build workflows that run on a schedule

Start from zero. No coding experience needed.

Learn by doing your actual job, not case studies.

If you believe that AI is a fad and is going away, this isn't for you. We are building for the future of product work.

This course is NOT FOR everyone

If you're in product, TPM, design, or engineering and want to bulid AI into your actual workflow, this is the right place.

This IS for Product and adjacent roles like TPM, Design, Engineering

You don't need to be perfect. You need to be willing to build, test, and iterate. That's the whole course.

Are You Ready To Try, Fail, Learn, and then Try Again?

The PM who tried AI and hit a wall. You've used some of the chats, but nothing has stuck. You need a system, not another prompt trick.

Senior PM drowning in recurring work. Same competitive updates, same briefs, same summaries every week. You need those hours back!

The Team Lead who wants to model what's next. Your team is watching. Master AI workflows yourself first, then bring the approach to your org

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>

Build AI workflows that eliminate repetitive work, impress leadership, and make you the most valuable person in the room.


CEO of Addo AI | Founder of Amplify 

InterContinental Hotels Group

Google

FedEx

S&P Global

Thomson Reuters

Dr. Ayesha Khanna

CEO of Addo AI and Amplify. Global expert on AI powered transformation.

CEO @ Symplehost.ai, Claude Ambassador

MoneySmart

Claude

Max Del Vita

Claude Ambassador. CEO of Symplehost.ai.

Cohort 1

You’ve tried ChatGPT. Maybe you use Claude for emails or brainstorming. But you’re still doing everything manually — copying data between tools, writing the same reports, chasing the same updates. Meanwhile, the people getting promoted are the ones who figured out how to make AI do the repetitive work for them.This course teaches you to go from “I use AI sometimes” to “I built systems that run without me.”Most AI courses would teach you more tools. This one starts somewhere different: actual business problems.Every week, we identify a typical real workflow that's costing your team time, quality, or sanity — then you build a working AI system that fixes it. Not a demo. Not a hypothetical. A system you'll use on Monday.That's the difference between learning AI and deploying it.In 6 weeks, you won't just know more about AI — you'll have built automations your team depends on, using a method (ARISE) you can repeat on any process you touch.

Stop using AI for one-off tasks. Build automated workflows that save you time.

Reclaim 10+ hours a week by automating the work that drains you. 

Produce in 1 hour what used to take you all day. 

Make Claude work inside the tools your team already lives in. 

Build AI systems that are accurate, safe, and team-ready.

Walk into any leadership meeting and prove AI is working.

Become the person your company turns to for AI — starting Week 1. 

Team Leads &amp; Business Managers in departments like HR, Marketing, Sales, Finance, etc. who want a method for automating processes with AI.

Founders &amp; Consultants running lean teams who need to operate like a team of more than 10 with a team of 2 using AI to handle operations.

The Agent-Powered Super IC

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.

Business analysts defining requirements and bridging business and technical teams.

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

Using data and metrics to measure performance, run experiments, and inform decisions.

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

Build AI Workflows That Actually Save PM Time

What you'll learn

Why this topic matters

You'll learn from

Enzo Avigo