Built and sold a 7-figure agency

Tim Keen

Marketing Engineer, AI Practitioner, Ex-Agency Owner, Teacher

How To Build With AI Without Going Insane

built and sold a 7-figure agency.

You'll learn why Postgres and React are making your life harder, and what I think you should use instead.

How to choose backend + frontend infrastructure for your app

You'll learn why prompting is just wishcasting, and how to use deterministic gates to get the outcome you want.

How to keep your coding agent from going off the rails

You'll learn about the different types of database, when you should use them, and why Claude is a bad plumber.

How to structure your apps' data

Spend your days fighting fires, stressed, or overwhelmed?

Founder @ Flow State, an AI-native OS

Google

OpenAI

Rippling

GoFundMe

First Round

Jack Cohen

Flow State Founder, Coach to 67 founders & 200+ execs, ran Rippling's leadership program

Cohort 1

What if you felt on top of everything instead?What if your team (of managers or agents) was aligned and executing?This course offers the playbook and AI tools taught to 500+ founders, execs, and managers to shift from stressed and overwhelmed to Clear Focus, Emotional Balance, &amp; Systematic Execution.HERE'S THE CHALLENGEYour days are filled with:🔴 endless Slack/Teams messages, 🚀 never-ending requests from customers &amp; colleagues,🗓️ back-to-back meetings, ⏱️ your own wishes for you/your team to move faster and work on what really matters.🔥 Prioritizing sounds nice, but you always end up fighting fires. 🔥✨ You wonder if AI can help, you wonder how others are using AI to manage it all—but honestly, who's got the time to figure that out? ⏳THE SOLUTIONIn 24 hours, you’ll have built and practiced using your Operating System (mindsets, habits, and setup for tools like Claude Cowork/Code) to shift from reacting to constant incoming messages to defining and creating what matters most--and leading your team (of people or agents) in that direction.You will leave with a systematic approach to feeling clear, calm, and confident in how you navigate your days and weeks.

Shift from stressed and overwhelmed to clear focus and emotional balance

Know how to use Claude Cowork/Codex for automations

Build and personalize your own tools with Claude Code and Codex

Scaling ICs: You want to start managing teams of agents and literally 10X your impact.

Managers and Execs: You know there's a better way than back-to-back meetings everyday. To scale your impact, you must scale yourself first.

Founders: Complexity and pace are increasing, and you need a better system to keep up and stay focused.

Build and deploy a real-time AI agent with production-ready patterns you can reuse in your own products.

Build & Deploy AI Agents

Amazon

Prime Video

Cruise Norwegian

Zurich

Emilio Taylor

Author of Vibe Engineering | Founder, Visao + Helix | AI Systems for RevOps

First public cohort focused on building and shipping real-time AI agents using LiveKit and Supabase.

Fall 2026 Cohort

<blockquote>Most AI tutorials stop at prompts and demos.</blockquote><blockquote>But real AI systems don’t fail at prompts — they fail in execution.</blockquote><blockquote></blockquote><blockquote>Without workflow state, tool boundaries, retries, and observability, AI features break quickly in production.</blockquote><blockquote></blockquote><blockquote>In this course, you’ll build and deploy a real-time AI agent using LiveKit and Supabase — not just a demo, but a working system.</blockquote><blockquote></blockquote><blockquote>You’ll learn how to design AI as workflows, connect tools safely, stream responses in real-time, and handle failure cases like a production engineer.</blockquote><blockquote></blockquote><blockquote>By the end, you’ll have a deployed agent and a repeatable blueprint you can use in your own product.</blockquote>

Most AI tutorials stop at prompts. This one ships systems.

Build your first AI agent (end-to-end)

Design reliable AI workflows (not just prompts)

Add real-time capabilities with LiveKit

Ship production-ready AI systems

You’ll extend a real codebase, run locally, and ship features quickly without getting blocked on frontend basics.

Comfortable building React apps locally

Your agent will read and write real data. You should be comfortable working with APIs and basic database patterns.

Basic APIs + database knowledge (CRUD)

This is a code-first course. You’ll read logs, handle failures, and debug behavior to make your AI agent reliable.

Willing to write JS/TS and debug issues

<blockquote>Full-stack engineers (React/JS) who want to build real AI agents—not just prompt demos—and ship systems that actually work in production.</blockquote>

Indie builders who want to quickly build and launch an AI-powered product or agent with a real backend and scalable architecture.

<blockquote>Product engineers and engineering leads looking to establish reliable patterns for building AI agents inside real applications.</blockquote>

How to build AI-native engineering orgs from infrastructure to team adoption

Creator of Stanford's AI Coding Course

Y Combinator

Stanford University

Mihail Eric

Created Stanford's first AI coding class. Former YC founder and Amazon AI lead.

Learn in 1 day what engineering leaders are spending quarters figuring out through trial and error.There's endless content on AI coding tools, but almost none of it answers the questions engineering leaders actually face: how to reorganize the team, set up the tools, govern the risk, and control the spend.This workshop teaches the leadership strategies beyond simply installing Claude Code licenses:<ul><li>How to restructure teams and roles when engineers are orchestrating multiple agents</li><li>How to hire and interview when banning AI in interviews no longer makes sense</li><li>How to ship AI-generated code fast without losing quality: risk-tiered review, agent threat models, coding agent defenses</li><li>How to build the infrastructure layer that makes it safe: MCP portals, LLM gateways, self-improving review loops</li><li>How to control token spend and prove ROI with metrics </li></ul>The lessons are grounded in case studies from dozens of engineering leaders running this transformation right now, at companies of all scales from leading AI startups to public enterprises. You'll learn what's worked, what hasn't, and walk away with field notes you can implement on Monday.

A focused 6-hour deep-dive on how to build the infrastructure, culture, and practices of an AI-native engineering org

How to enable teams to ship high-quality and secure AI-generated code fast

How to build an AI-native infrastructure layer that scales with your team

How to organize and staff the AI-native team

How to control the spend and prove the impact

Eng leaders (Directors, VPs, CTOs) who are delivering an AI transformation and need proven org structures, governance models, and ROI

Senior, staff, and principal engineers who've mastered coding agents personally and now need to scale that into team-level workflows

Platform and DevEx leads who own the tooling layer and must make the build-vs-buy calls on AI infrastructure

Meets you where you are. Keeps you honest. Steers you toward who you want to be.

AI-native builder helping you become one

Vidhya Sriram

I take AI from pilot to production — strategist, operator, builder.

Every day you bookmark something because it sparked something — a post, an article, a role that felt like your next move. Each is a small intention: one you meant to come back to.Most weeks, you don't. A low-grade anxiety sets in — that quiet sense of unfinished business. Not because you don't care, but because you have no system to turn intention into action. And the more intentions you leave behind, the less you trust yourself. Your confidence erodes.The Lightning Session was where this started: <a target="_blank" rel="noopener noreferrer nofollow" href="https://maven.com/p/be8554/turn-linked-in-saved-posts-into-your-weekly-action-system">https://maven.com/p/be8554/turn-linked-in-saved-posts-into-your-weekly-action-system</a>This workshop is where the one-time fix becomes a system. In four hours, live, you'll build a personal AI operating system in Claude Code — a multi-agent system that:<ul><li>Remembers you and learns from you</li><li>Follows up and keeps you honest</li><li>Helps you research, think, and write</li><li>Tracks what works and what it costs</li><li>Shows you're becoming who you want to be</li></ul>You'll own every design decision — the why, the how, the technical build. Not just use AI, but build with it.Welcome to the system you're building — one that learns you and moves you toward who you want to become. All you have to do is begin.

Same saves. Different you — someone who acts with intention, builds toward what they want, and can speak to every decision they made.

Stop collecting ambitions. Start building toward them.

Build a personal learning system that compounds.

Learn the method, not just the use case.

From why to how — design, build, and own your personal operating system.

Know what works, what it costs, and how to improve.

Earn a resume line. Build a portfolio piece. Own the room.

Install Claude Code or Codex before the session. Build live, leave with a working system. Set up first so you hit the ground running.

Claude Code Pro subscription or equivalent (ChatGPT Codex)

LinkedIn saved posts via Chrome extension is easiest. Browser bookmarks, Medium & Substack exports work too. Bring whatever you have saved.

Saved content you can export — LinkedIn, bookmarks, or reading lists

Career reinventor: Reimagining what's next, inspired and ready to move. Needs a system that turns saves into a path forward

Expert seeking visibility: You have the depth. Ready to be seen for it. A POV, a portfolio, and the habit of showing up in your own voice.

Independent operator: LinkedIn is your pipeline. Every save is a potential client or collaborator. You need a system that follows through

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

Engineers and engineering leaders who build, deploy, and scale software systems.

Startup founders building new businesses, from MVP to scale.

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

Using AI coding assistants and tools to write, review, and ship code faster.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

How To Build With AI Without Going Insane

What you'll learn

Why this topic matters

You'll learn from

Tim Keen