laura-snackerman

7 Skills for Compound Thinking with Claude Code

Maven

Laura Esquibel Ackerman

producer/raw-clauder

Every conversation becomes a searchable, verbatim archive. Your breakthroughs findable word-for-word when you need them.

Never lose your thinking with AI again

End sessions with dedicated handoffs and return with full context. No more starting from scratch for you or your AI.

Pick up any thread, any time

Pressure-test your ideas and make space for AI's own curiosity and pushback. Your thoughts get sharper together.

Think with AI as a partner, not a yes-machine

We show you what's possible with AI, then take you there.

Founder | Meta/Amazon/Statsig/Tencent

Statsig

Amazon

Boston Consulting Group (BCG)

Tencent Games

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Applied Scientist | yage.ai

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Cohort 11

Cohort 12

Is this you?<ul><li>Chatting endlessly with an “AI intern” instead of designing the context with clear principles.</li><li>Blaming “hallucinations” when the real issue is poor orchestration.</li><li>Trying to run an entire project from a single, overloaded chat window.</li><li>Treating AI like witchcraft and prompt spells instead of engineering.</li></ul>AI gets better every day. But when it’s time to ship something serious, you don’t yet have a reliable way to make AI show up for you.The problem isn’t AI. It’s how you’re using it. This course exists for that exact gap.AI is a new computiung paradigm. To use it well, you have to:<ul><li>Unlearn old patterns</li><li>Install new mindsets and habits</li><li>Build a meta-learning system that can carry your career for the next 20 years</li></ul>That's hard, and we take it seriously. This course is designed to teach you how to fish. On top of lessons and projects, we built two unique tools:<ol><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://youtu.be/dXjcy6XSN_Y">A build platform</a> that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.</li><li><a target="_blank" rel="noopener noreferrer nofollow" href="https://www.superlinear.academy/c/share-your-projects/">A lifetime community</a> where you can share projects, ask questions, and get unstuck long after the course ends.</li></ol>The end of our course is the beginning of your learning, and we will be with you.

Learn AI for the Next 20 Years, Not the Next 20 Days

Engineer Robust Context to Eliminate Hallucinations

Curate "Sterile" Contexts for Peak AI Performance

Architect Multi-Agent Systems to Conquer Complexity

Define Success Criteria to Transmute from Operator to Manager

Build "White-Box" Evaluation Tools to Visualize Quality

Design Self-Healing Loops for Autonomous Optimization

Software Engineers &amp; Developers Ready to build reliable, scalable AI systems integrated into production workflows.

Technical Product Managers &amp; Strategists Seeking the hands-on knowledge to scope, architect, and guide AI initiatives with confidence.

Data Professionals &amp; Automation Experts Who want to transform proof-of-concept scripts into durable applications that multiply productivity.

Build permanent AI muscle, master the foundations of how AI actually works, and adopt future-proof tactics for the highest quality outputs.

Founder, Free Agency; AI product leader.

OpenAI

Anthropic

Samsung

a16z

Google

Sherveen Mashayekhi

Founder & CEO of Free Agency. AI Product Leader, Investor, & Applied Researcher.

Cohort 9

Cohort 10

Stop relearning AI every month. In 3 weeks, master the mechanics and systems that make AI output reliable, high-trust, and portable -- across ChatGPT, Claude Code, CLI agents, and whatever comes next.Most people are "AI literate" (they can ask for things). This bootcamp makes you AI fluent. You'll be able to reliably steer, debug, and compound results, even as tools change.The course centers around 3 pillars: 1. Gain a foundational understanding of how LLMs and agents work that will keep you ahead of the game moving forward. It's durable literacy. 2. Build an AI operating system around your particular personality and workflow that will make using AI low-friction, high-trust, and high-impact across tools. 3. Develop an initial set of habits to help you build muscle over time, because it's your reflexive ability to reach for and use AI that will make this all matter.If you already use AI but any of these feel true, this course is for you:• Your results are inconsistent – sometimes gold, sometimes garbage• You can't get an AI agent to do what others can, but you can’t diagnose why• You spend too much time rewriting and re-prompting• You keep trying new tools, but nothing compounds

Gain foundational understanding and build your personal AI operating system.

Think beyond the model, get into the scaffold and context.

Not “better prompts” -- instead, better mechanics.

DRIVE, DIFF, your personal AI repo, and more.

Adopt an agent-forward framework to get the best of what AI has to offer.

Instead of being left behind, you'll get and stay ahead of the AI curve

Your personal AI tech stack and operating system.

• you want a PDF of “50 magic prompts”
• you’re not curious about how AI actually works
• you already live inside arXiv 

This course is NOT for you if...

This course is made for you. We'll mostly stay outside of coding tools, except guided projects where they'll be useful even in your context.

If you are non-technical...

... but you still want a foundational understanding of how LLMs and agents work, you'll enjoy this course (a lot)!

If you're already good at using AI...

This is for ambitious professionals who already use AI weekly (or daily), and want reliability and leverage.

That includes founders, operators, product leaders, PMs, engineers, analysts, designers, finance, and GTM leaders.

No technical experience required. This is primarily aimed at non-technical individuals, though engineers also love this course.

Build job-ready AI prototypes to crack AI PM roles with CVs that pass ATS & recruiter filters by highlighting technical & building skills

AI Lead-built early Agents @Google, Meta

Microsoft

Amazon Web Services

Mahesh Yadav

20+ years exp., Ex-Google, Meta Research, AWS AI | 10k+ AI Alums

 

Bootcamp 1

Bootcamp 2

After 300+ interviews and helping 100+ PMs break into AI roles in the past 3 years, I can say this confidently: getting into AI PM is harder than ever not because companies don’t need AI PMs, but because they now expect PMs who can think, evaluate, and build with AI. Most PMs are still stuck at AI 101.What’s not working today: PMs rely on slides rather than shipping with tools such as Claude Code or n8n. They talk AI but can’t prototype. They know user flows but not context windows, evals, or how to de-risk ideas before engineering. And because AI shifts every 3–6 months, they can’t tell what’s real vs. hype — so interviews fall flat.This program fixes that.After 10+ cohorts, we’ve distilled everything into a 21-day bootcamp that takes you from “I get AI concepts” to “I can build AI agents, evaluate them, and think like an AI PM.” You’ll vibe-code your own agent, create an AI-ready portfolio, master evaluation-first product thinking, and practice interview loops used by top AI teams.By the end, you'll not only explain AI but also demonstrate it with prototypes, better judgment, and confidence to walk into any AI PM interview as a builder. Any doubts/requests? Book Meeting <a target="_blank" rel="noopener noreferrer nofollow" href="https://calendly.com/team_maheshyadav/">Here</a>

10x your output with tools like Claude Code & n8n and get AI-PM job-ready

Build a foundation of AI ecosystem, ML Concepts & Agentic AI Landscape

Build with AI End-to-End: The Templates, Decisions & Systems top AI PMs Use

Turn your AI portfolio into an ATS‑ready CV that recruiters can’t ignore

Ace AI PM interviews with free 1:1 mocks and expert, tailored feedback

Traditional PMs transitioning into AI roles

Professionals from ML/analytics backgrounds trying to reposition for AI-first roles

Engineers or builders pivoting into AI Product

Build a PM Copilot: AI that remembers everything, plans your day, and reviews your week. No coding required.

Cohort 1

Head of Product | AI for non-tech users

Myles Sutholt

Head of Product, 10+ years - Building AI for non-technical healthcare worker

Cohort 2

85% of AI users report saving hours every week. (Workday, 2026)When researchers actually measured it, experienced engineers were 19% slower with AI. They believed they were 20% faster. (METR, 2025)If senior engineers cannot tell whether AI is helping them, the rest of us almost certainly cannot either.I saw this in my own teams. Same tools, same AI. They used it like a vending machine: throw in a prompt, some inputs after being asked, get polished output, move on.The problem was not the AI. It was what AI knew about their work. Very little beyond what it asked for.Most CEOs report no net benefit from AI. Only about 1 in 10 capture real gains. (PwC CEO Survey, 2026)I built a system that gives AI my real context that compounds over time: projects, decisions, priorities. It changes the output because it can ask much better questions. It already knows everything it needs to act as a virtual team member. You leave with a working system built on your actual work. Not a demo, not a certificate. From ChatGPT basics to building automations, the course meets you where you are.If you work with projects, decisions, and AI, this is for you.

AI Copilot that remembers everything and plans your week. No coding required.

AI That is Visibly Better

Your AI never forgets who you are or what you're working on

Context-switch between projects without losing anything

Wake up to your priorities already sorted

Your weekly review writes itself every Friday

Enable seamless AI handoffs with teammates

You'll build on AI habits you already have, not learn from scratch.

Use ChatGPT or Claude regularly (not just tried once)

Proves you have the "I'll figure it out" mindset the course requires

Have experience with Notion, Zapier, or similar tools

You'll run terminal commands and see code - AI writes it, but you'll see it.

Willing to try things that feel unfamiliar at first

<pre><code class="language-markdown">You want a competitive edge. Comfortable being a beginner if it means being the person others ask "how did you do that?"</code></pre>

You want a competitive edge. Comfortable being a beginner if it means being the person others ask "how did you do that?"

<pre><code class="language-markdown">You can't work more hours. You need leverage, not tips. You want a system that compounds over time.</code></pre>