Bolt.new

Shopify.com

WooCommerce

Loom

Salesforce

Will Nelson

Founder at 64stories.com

Stop Guessing What to Say. Build an AI Listening System.

Listen across customer conversations, company activity and market changes to uncover what buyers care about now.

Find the GTM signals worth acting on.

Identify the timely, credible messages that can influence buyers, with clear evidence of why they matter.

Know what your company should say next.

Scrape LinkedIn engagement, enrich the people and companies in Clay, and see which messages resonate with your ICP.

Measure whether the message reached the right buyers.

This is not a course you complete. It's a practice you begin. The skill of hearing what your market needs before they have words for it.

AI Research Leader •Ex-Meta, Uber, Apple

Uber

Apple

Google

Canvas8

Abi Awomosu

AI Research Leader • Ex-Uber, Meta •  Bestselling Author of 'How Not to Use AI'

Cohort 10

Cohort 11

Most practitioners don't struggle with access to data. They struggle with knowing what matters — and AI made it worse, not better.Most AI research courses teach extraction: summarize quicker, automate the asking, replacing the human with the synthetic.The Billion Person Focus Group® does the opposite. You use AI as a listening partner to access patterns from places where people actually gather and speak unfiltered— forums, communities, support tickets, sales calls, product data.Triangulate across sources. Bring receipts. Then hand off what you find to surveys, interviews, or experiments.Discovery first. Validation second.This isn't "move fast and break things." It's see first—act once.In two days, you’ll apply this to a real high-stakes decision and leave with:<ul><li>Visual market landscape maps</li><li>3–5 decision-ready hypotheses</li><li>A ready-to-run Listening OS — agents, workflows, cookbooks — customized to your market</li><li>A validation plan you can execute Monday</li></ul>And you keep everything — for the next launch, the next client, the next pivot. Stop renting insights. Start owning the capability.

See what your market really needs — before it's obvious or too late.

See your market as it actually exists— not how dashboards flatten it

Identify emerging market trends before they become mainstream.

Hear what your market needs before they have words for it

Assemble AI advisors that shape decisions  — not yes-machines who confirm

Move at AI speed and still trust what comes back

Stop renting insights or more AI tools — develop internal intelligence you keep

The course is taught primarily using Claude, but the methodology works across platforms. No technical skills required.

Familiarity with AI tools — you've used ChatGPT, Gemini, Claude or similar. 

Researchers &amp; Insights Professionals. AI tools summarise fast but insights got thinner. You used to find the unexpected. This brings it back

Strategists, Marketers &amp; Consultants. You're paid to see what's next but AI gives you what's already obvious. This is how you see first.

Founders, Product Leaders &amp; Builders. You build for people but somewhere you stopped hearing their needs. This is the direct line back.

Stop being the “number explainer.” Build the stories, systems, and credibility to lead with clarity and confidence in the age of AI.

Data & AI Leader, 19yrs of scaling data

Wayfair

Scotiabank

Wunderflats

ZEAL Network SE

Pier Martin

Data & AI leader with 19+ years scaling global teams, Executive coach 

Cohort 9

Do you lead a data or analytics team and you keep asking yourself:<ul><li>How do I get executives to act on my insights instead of nodding and moving on?</li><li>How do I influence Product, Marketing, and Finance when none of them report to me?</li><li>How do I build real credibility on AI without just demoing tools?</li><li>How do I get my team seen as a trusted partner, not a ticket shop?</li></ul>If those are your questions, you're in the right place. The work is strong. You are just not in the room yet when the decisions get made.Here you fix that by building your own AI Operating System. A working system that keeps supporting you long after the course ends. It remembers every stakeholder you map, drafts in your voice, pressure-tests your decisions before the room, and gets sharper every time you use it. One person, operating like a team.So you turn data into stories executives repeat. You turn AI pilots into business cases that win support. And the system keeps compounding, carrying more of your load as you take on more. You own it for life.

Get in the room with the decisions - taught by a VP who still runs a data team.

How to Make Executives Act on Your Insights

How to Lead AI Change Without the Fear

How to Run a Data Team That Scales

How to Decide What Matters Under Pressure

Folks who are early in their career, focused only on technical execution, or looking to break into data/analytics should not enroll.

This course is NOT FOR everyone

It is designed for data managers, analytics leads, and heads of data already managing teams and facing leadership challenges.

This is NOT a beginner-level technical course

The Overlooked Data Manager: you ship dashboards but get talked over in strategy rooms, and want to be trusted for impact, not output.

The Stretched Head of Data: you lead 5 to 15 people, firefight all week, and need a system that shows control and builds credibility.

The New Data Leader: just promoted from IC, strong technically but light on storytelling and presence, ready to lead in the AI era.

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.

Your growth has stalled. AI can show you the gaps in your marketing strategy.

Fractional DTC Marketing Leader

Estée Lauder

StartupCD

BioSchwartz

Love Wellness

Dropps

Temilola Agbede

Fractional Marketing Leader & Advisor for Consumer Brands

July 8, 2026

Oct 1, 2026

DTC brands often pour budget into ads, optimizations, and agency retainers without ever stopping to ask which part of their marketing is actually broken and why. They guess. They tweak. They move on. The result? They keep spending on a leaking bucket.This workshop changes that. In 90 minutes, you'll use AI as a first-pass audit tool to pressure-test the two areas where most DTC marketing breaks down: your brand story and your conversion experience. You'll run real prompts on your own brand, build a DTC Marketing Signal Map that shows where your highest-risk gaps are, and leave with a clear picture of what to investigate next.This isn't a lecture on what good marketing looks like. You'll leave with an actual analysis built from your own brand's inputs that tells you where to focus your attention and your budget.AI will do the surface work. You'll know what to do with what it finds.

Stop guessing what's broken. Use AI to audit your brand story and conversion experience and know exactly where to focus.

Run AI-Powered Audits on Your Brand Story and Conversion Experience

Build Your DTC Marketing Signal Map

Turn Your Findings Into a Prioritized Action Plan

Brand Founders who sense something in their DTC marketing isn't working but can't pinpoint where the leak is.

Consumer Brand Marketers who know there are gaps in their customer journey but haven't had a fast, systematic way to surface them.

Freelancers, Consultants &amp; Brand Advisors who want a repeatable AI-powered audit method to bring into client engagements.

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

Operations professionals who optimize processes and manage day-to-day business functions.

Marketers who drive brand awareness, customer acquisition, and growth across channels.

All lightning lessons and courses associated with the Maven x Clay "Building an AI GTM Engine" campaign. 

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

Creating and distributing valuable content to attract, engage, and convert target audiences.

Planning and executing product launches, market entry strategies, and cross-functional go-to-market coordination.

Positioning products, crafting messaging, enabling sales, and driving adoption for product launches.

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

Generating qualified pipeline through inbound and outbound programs — lead scoring, nurture campaigns, and conversion optimization.

Stop Guessing What to Say. Build an AI Listening System.

What you'll learn

Why this topic matters

You'll learn from

Will Nelson