
How the founder of Morning Brew built a Claude content machine that never runs out of ideas and never sounds like slop | Alex Lieberman
How I AIShow Notes
Alex Lieberman co-founded Morning Brew in college and grew it into one of the most-read business newsletters in the world before selling it to Business Insider. Now he’s the co-founder and co-managing partner of Tenex. In this episode, Alex explains why distribution is becoming a durable moat, why founders and teams need to “climb Cringe Mountain,” and how he rebuilt his content process around AI without letting it produce generic slop. He walks us through every step of his Content Machine live: an Oracle that scans internal systems and the internet for content spikes, an interview panel that pulls out his real ideas, voice and style files that keep drafts sounding like him, an editorial council that scores and revises posts, and a lessons loop that learns from his feedback.
What you’ll learn: Why the blank page is the biggest friction point in content creation, and how an AI Oracle eliminates it How to map your current workflow before you add any AI How Alex built a six-step Content Machine in Claude that goes from idea spike to publishable post Why the interview step (not the drafting step) is where AI slop actually comes from How to codify your voice in a Markdown file so an AI drafts in your register, not the internet’s average Why your employees are your most underleveraged marketing channel right now How the Tenex Creator Cup turned content creation into a team sport with a $5,000 prize pool — Brought to you by: Firecrawl—Power AI agents with clean web data Customer.io—Build customer engagement campaigns from a single prompt — In this episode, we cover: (00:00) Introduction to Alex Lieberman (02:35) Why Alex built a content machine (06:56) Alex’s thoughts on AI slop (09:00) Mapping the workflow from scratch (13:24) The six-step Content Machine setup (23:11) Live demo: Oracle, Interview Panel, and Writer’s Council in action (30:38) Employee advocacy: the Tenex Creator Cup and $5K prize pool (36:45) Lightning round: great engineers, AI use cases, slop fixes — Tools referenced: • Claude / Claude Code (Anthropic): https://claude.ai • Wispr Flow (voice-to-text transcription): https://wisprflow.ai • Notion: https://notion.so • Linear: https://linear.app • Slack: https://slack.com — Other references: • Morgan Housel: https://www.morganhousel.com • David Perell: https://perell.com • Shaan Puri / My First Million podcast: https://www.mfmpod.com • Gary Vaynerchuk: https://garyvaynerchuk.com — Where to find Alex Lieberman: X: https://x.com/businessbarista LinkedIn: https://www.linkedin.com/in/alex-lieberman/ Tenex: https://www.tenex.co/ — Where to find Claire Vo: ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo — Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email [email protected].
More from How I AI
Anthropic's new personal agent, Claude Duet, lives on your phone, inherits all your Claude plugins and connectors, and is pitched at small business owners and busy professionals. It's the most polished agent launch I've seen: thoughtful onboarding, task lists, first-class artifacts, and Slack-style channels. But polish isn't enough when you're competing with every other personal agent for attention. I put it to work on my inbox and Slack, my sales pipeline, a Google Docs sales deck, a launch video, and finding Warriors tickets for my kids, and I'll walk you through what it nails, where it stalls, and what Anthropic needs to fix before it can become anyone's number one agent.
Brooke Lacey has been making videos since before Facebook had video, and she built a TikTok audience of more than 290,000 by learning to cut short-form videos herself. With over 25 years in tech, she now builds her own apps, including Zosha, a free mobile app for learning AI. In this episode, Brooke walks me through the Claude Code, FFmpeg, and Whisper workflow that edits her TikToks in about 15 seconds, how she mines her comments for new scripts, and how she runs a weekly short-form operation with no editor.
I put Meta’s new Muse Wonder (and Wonder Full) frontier models through the How I AI bench, which covers nearly 20 tasks across prototyping, agentic workflows, coding, writing, and creative work. I scored everything with an LLM-as-a-judge pass and my own voice notes, then pulled together the first-look results you see here.
Alex Cornell is a design director at Meta, where he leads design on Muse, Meta’s consumer AI agent. He came to the role with a long background in software product design, including time as a founder, and has spent the past year building one of the most thoughtful agent interfaces in the consumer AI space. Muse ships with a custom avatar, a three-layer status display, a personalized ideas surface, and a generative feed. Alex has been sharing the reasoning behind each of those design decisions publicly on Threads.
Kath Korevec is a member of the Product staff at OpenAI working on Codex, and she spent over a year building and using ChatGPT Sites internally before its public launch. She’s been on the front lines of shipping Plugin Insights, MCP plugin hosting, and the connector ecosystem, which now includes around 60 integrations.