Anson Zeall

From Voice Note to App Spec in 30 Minutes

500 Global

StartX

Founder and CEO, Nexusdesk;
B11 500 Global, S17 Startx Alum

See how to transform rambling voice notes into structured specifications that AI can actually build from.

Turn messy ideas into AI-ready specs

Learn the exact workflow: Fireflies → spec-analyzer → spec-writer. Watch it work live on a real app.

Master the 3-agent framework that eliminates debugging

Walk away with the spec-analyzer and spec-writer agent prompts. No installation, no coding. Just paste and start.

Get copy-paste templates you can use within 24 hours

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.

Turn information overload into a Knowledge Engine that talks back. Go from drowning in unread PDFs to shipping high-fidelity AI artifacts.

Solutions Architect & AI Educator

Thoughts Brewing

HubSpot

United Way

MANTECH

Damien Griffin

Solutions Architect & Co-Founder at Thoughts Brewing, LLC

Cohort 5

Cohort 7

This course is for AI-curious professionals who are tired of LLMs hallucinating about their own business data. You’ve used the big bots, but you’re ready for a tool that stays grounded in your specific files, not the entire internet.You should pull up a chair if you are:<ul><li>An overwhelmed researcher or lead sitting on a pile of unread PDFs and half-baked notes.</li><li>A solutions-oriented builder who needs to turn raw data into interactive podcasts, briefing docs, and infographics without the usual tech headache.</li><li>A busy professional who has played with NotebookLM but wants a structured way to master the non-intuitive interface and see what else it can actually do.</li></ul>We are looking for active builders who already have a basic handle on how to talk to a bot. We won’t be covering "Prompting 101" here, we are diving straight into building a Knowledge Engine that actually talks back.This is not for the AI absolute beginner or anyone looking for a tool to browse the web for generic answers. This is for the person who wants to tame information chaos and turn their personal library into a competitive advantage.

Master NotebookLM: Turn Data Chaos Into Precise AI Artifacts in a Weekend

Build a grounded Knowledge Engine

Transform raw data into executive-level artifacts

Generate custom Audio Overviews for hands-free learning

Visualize complex info with Mind Maps and Infographics

Navigate the 3-panel interface like a systems pro

Pressure-test your mastery with AI-generated Quizzes

You should have experience using tools like ChatGPT, Gemini, or Claude to ensure we can focus on NotebookLM-specific workflows.

Proficiency in AI Prompting

A personal or Google Workspace account is required to access the NotebookLM platform during the live sessions.

Active Google Account

Access to a desktop computer (preferred) and a stable Zoom connection for the live interactive portions of the weekend.

Standard Tech Setup

Leaders &amp; Project Managers needing reliable AI. Build a grounded system that uses your data to automate workflows.

Founders synthesizing research fast. Turn private notes and transcripts into professional audio and text reports.

Operators &amp; Researchers managing massive document libraries. Extract precise insights and summarize complex data without manual effort.

Publish an App to OpenAI's Appstore, for 900 million users.

Founder, Level 250 | 3x VP, API Products

Verisk

Moodys

Oracle

SmartBear

Precisely

Emmanuel Paraskakis

3x VP Product (Apiary, Swagger, Oracle) | 1.3M APIs | Agent-ready APIs & MCP

Cohort 1

1 month of Fractal Pro included.Do you ever wish you were building apps when the iPhone App Store got started? ChatGPT has 900 million weekly users. They can install apps. Yours could be one of them.The opportunity is real but the path is unclear. The SDK docs have errors. The submission form is hostile. The review process is opaque. Hidden requirements that aren't in any documentation. Most people give up before they ship.In this workshop, you'll build a ChatGPT app from scratch using Fractal, a no-code builder for MCP apps. You'll learn the Know / Do / Show framework for what makes a good app, set up developer mode to test locally, and walk through the full submission process including every undocumented gotcha.You'll leave with a working ChatGPT app you tested in developer mode, a month of Fractal Pro to keep building, and a submission checklist covering every rejection reason.There are about 600 apps in the directory today. This is the early iPhone App Store. The builders who show up now will have a head start when the ecosystem takes off.Walk in with an idea. Walk out with an app ready for 900 million users.

Product Managers who want to ship a ChatGPT app for their product and navigate the submission process.

Founders and Makers who want to get into the ChatGPT directory early - about 390 apps today, like the iPhone Appstore in 2008, but for AI.

Engineers who want to prototype their first ChatGPT app with no-code tools and skip the undocumented gotchas.

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>

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.

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

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

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

From Voice Note to App Spec in 30 Minutes

What you'll learn

Why this topic matters

You'll learn from

Anson Zeall