Serious People Podcast

Noah Levin

Serious People Podcast: An Operator's Manual to AI is a podcast for business leaders and operators running complex, real-world businesses. The ones selling supplements, managing caregivers, or running service crews. Not software. Host Noah Levin brings nearly two decades of experience at Amazon, Whole Foods, and healthcare tech to weekly conversations about what AI outcomes work inside a business, and what doesn't. Equal parts practical and irreverent, but useful above all else.

Episodes

  1. Oct 6

    How to Build an AI Writing System That Sounds Like You | Sally Slater (Cofounder, InnovAItion Partners)

    Sally Slater keeps a list of more than 600 words and phrases that AI leans on too often. She considers that list the easy part. The harder problem is the sentence that sounds profound and says nothing, which no word list will catch. Sally is the co-founder and managing partner of InnovAItion Partners, where she helps PR, marketing, and advertising agencies use AI without turning themselves into a commodity. She also built SlopSentry, a tool that edits the slop out of AI writing. In this episode, she walks Noah Levin through the writing system she builds for clients, using Noah's own podcast and newsletter as the test case. Topics covered: Why every AI writing workflow needs human input, whether that's a transcript, a voice memo, or data only you haveWriting in layers: how you want to sound, what you actually have to say, and a separate agent that strips out the slopBuilding a company brain in the folders your team already uses, with AI doing the filingChapters(00:00) Introduction (02:13) Efficiency Is the Wrong Goal (07:52) What's Safe to Fully Automate (09:43) Building the Weekly Newsletter (16:36) Data Nobody Else Has (18:54) The Hamburger Method (23:28) Word Slop vs. Substance Slop (25:53) Killing LinkedIn Broetry (29:03) Building a Company Brain (33:33) Keeping the Brain Current (40:20) What Actually Works on LinkedIn (44:04) Teaching AI From Your Edits ResourcesConnect with Sally on LinkedIn:https://www.linkedin.com/in/sallyrslater  Sally’s website: https://www.sallyslater.com  InnovAItion Partners website: https://www.innovaitionpartners.com  Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/Noah's Website: https://www.noahlevin.com/Serious People Website: https://seriouspeople.ai/ (00:00) - Introduction (02:13) - Efficiency Is the Wrong Goal (07:52) - What's Safe to Fully Automate (09:43) - Building the Weekly Newsletter (16:36) - Data Nobody Else Has (18:54) - The Hamburger Method (23:28) - Word Slop vs. Substance Slop (25:53) - Killing LinkedIn Broetry (29:03) - Building a Company Brain (33:33) - Keeping the Brain Current (40:20) - What Actually Works on LinkedIn (44:04) - Teaching AI From Your Edits

  2. Sep 30

    How to Build a Business with a Team of Agents | Scott Patterson (Core Fiber Founder & CEO)

    Scott Patterson changed the price on his website by talking for a few minutes. The agent did the rest, then reported back on how the new price was performing before he thought to ask. Scott is the founder and CEO of Core Fiber, a prebiotic fiber brand sold on Amazon, TikTok Shop and its own site. He built it to be a large company with a small headcount, with an agent working in nearly every function, from supply chain to finance. In this episode he walks Noah Levin through the system that runs the business and what an operator without a technical team can take from it. Topics covered: Building a company brain the agent maintains, so you never have to open it yourselfHanding off whole projects, from a price change to the month-end close, and getting back only the human tasksWhere to start: one real problem, one long dictation, and knowing when to stop optimizing Chapters (00:00) Introduction(01:11) Agents Instead of Headcount (05:43) Half the Day in ChatGPT (07:45) Where the Company Brain Lives (12:08) A Data Warehouse in Sheets (16:30) The Brief That Nags You (18:34) The Price Change He Dodged (23:01) An R&D Team on Demand (26:54) Hiring an AI CFO (30:36) A Product Launch, Dictated (32:29) Start With a Real Problem (36:03) Stop Optimizing. Touch Grass. ResourcesValet — Episode SponsorValet is the founding sponsor of the Serious People Podcast.AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem.Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.devAnd https://serious-people.valet.run/spp-scott-patterson-operator-field-guide  Connect with Scott: https://www.linkedin.com/in/scott-patterson1/Core Fiber Website: https://corefiber.co/ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/Noah's Website: https://www.noahlevin.com/Serious People Website: https://seriouspeople.ai/

  3. Sep 23

    How to Automate the Busywork So You Can Actually Lead | Jon Harmeling (Chick-Fil-A Franchisee)

    Jon Harmeling automated 13 of his restaurant's 15 onboarding steps and freed up ten hours a week doing it. He owns and operates a Chick-fil-A in Miami Shores with about 90 people on his team, where only four or five of them ever touch a laptop, and that ten hours became a test case for a different question: what does freed-up time actually owe you? In this conversation, Noah and Jon get into how a business built on shift work and thin margins decides what to automate first, the difference between using AI for management versus using it for leadership, and why the hardest part isn't building the tool. It's deciding, on purpose, where the time it saves actually goes. Topics covered: Automating the repetitive admin work that eats a frontline operator's week Using AI to surface leadership moments, not replace them.Where AI hits its limits: why scheduling a team well requires human context no model has been able to replicateChapter List(00:00) What do you do with the time AI gives back?(01:07) Using AI when your team doesn't sit at a desk(02:23) From West Point systems engineering to running a Chick-fil-A(07:40) The first win: AI takes over 13 of 15 onboarding steps(13:26) What not to feed AI, and how much to trust it(17:07) Catching bad reviews while you can still fix them(19:03) The setup: one laptop, no servers, one step at a time(23:45) From management to leadership: AI that finds who's being overlooked(28:09) Keeping AI-prompted moments genuine(32:53) Where AI failed: scheduling needs human context(36:36) Humans caring for humans: the retention flywheel(40:44) Jon's book, "Frontline AI Leadership," and where to find him ResourcesValet — Episode SponsorValet is the founding sponsor of the Serious People Podcast. AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem. Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.dev Connect with Jon on LinkedIn: https://www.linkedin.com/in/jonharmelingFor more info on Frontline AI Leadership: https://www.jonharmeling.com/book/ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/Noah's Website: https://www.noahlevin.com/Serious People Website: https://seriouspeople.ai/ (00:00) - What do you do with the time AI gives back? (01:07) - Using AI when your team doesn't sit at a desk (02:23) - From West Point systems engineering to running a Chick-fil-A (07:40) - The first win: AI takes over 13 of 15 onboarding steps (13:26) - What not to feed AI, and how much to trust it (17:07) - Catching bad reviews while you can still fix them (19:03) - The setup: one laptop, no servers, one step at a time (23:45) - From management to leadership: AI that finds who's being overlooked (28:09) - Keeping AI-prompted moments genuine (32:53) - Where AI failed: scheduling needs human context (36:36) - Humans caring for humans: the retention flywheel (40:44) - Jon's book, "Frontline AI Leadership," and where to find him

  4. Sep 15

    Christina Johnson: How to Waste Less Money on Digital Marketing

    Christina Johnson has been shown a 33x return on ad spend and kept a straight face. She has sat with a retail media network selling hundreds of millions of dollars in advertising whose own sales team couldn't explain to buyers whether the money had worked. And she can point to a supplier that ran a flawless campaign in cities where the retailer has no stores. Christina Johnson spent years inside Walmart's retail media business before founding Advisar, an intelligence tool for retail media buyers. In this conversation, she and Noah break down why so many brands are flying blind on their ad spend, why a metric like ROAS can look great while sales go nowhere, and what happens when AI gives you a confident, completely wrong answer. If your business runs any kind of performance marketing, this episode will change how you look at your own numbers. You'll hear: Why more ad spend rarely means better marketingHow a "perfect" campaign can drive zero real salesWhat questions to ask before trusting a marketing metricWhy AI can be confidently wrong, and how to catch itTimestamps: (00:00) More ad spend doesn't mean better marketing (00:34) Meet Christina Johnson, founder of Advisar (03:08) Why retail media is "wildly backwards" (08:37) The meeting where the sales team couldn't explain their own numbers (10:18) The question every retail marketer should ask (11:49) The auto-bid campaign that spent $0 and sold nothing (13:26) Why Christina built Advisar (15:18) The "33x ROAS" that wasn't real (18:11) ROAS explained, and why it can lie to you (19:09) Using Claude for analysis, and where it breaks (33:20) The AI mistake that changed how she builds (39:31) One thing to do tomorrow with your ad spend data Resources: Valet — Episode Sponsor Valet is the founding sponsor of the Serious People Podcast. AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem. Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.dev Christina Johnson operator field guide: https://seriouspeople.valet.run/spp-christina-operator-field-guide Connect with Christina on LinkedIn: https://www.linkedin.com/in/christina-w-johnson Advisars Website: https://www.advisar.io/ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Noah’s Website: https://www.noahlevin.com/  Serious People Website: https://seriouspeople.ai/  (00:00) - More ad spend doesn't mean better marketing (00:34) - Meet Christina Johnson, founder of Advisar (03:08) - Why retail media is "wildly backwards" (08:37) - The meeting where the sales team couldn't explain their own numbers (10:18) - The question every retail marketer should ask (11:49) - The auto-bid campaign that spent $0 and sold nothing (13:26) - Why Christina built Advisar (15:18) - The "33x ROAS" that wasn't real (18:11) - ROAS explained, and why it can lie to you (19:09) - Using Claude for analysis, and where it breaks (33:20) - The AI mistake that changed how she builds (39:31) - One thing to do tomorrow with your ad spend data

    Christina Johnson: How to Waste Less Money on Digital Marketing

  5. Sep 8

    Rebekah Stevens: Turning Elder Care Into a Math Problem

    Rebekah Stevens once spent months competing against an algorithm named Octopus, running weekly throwdowns to see who could staff a home care market better: her, with a spreadsheet and years of operating instinct, or a model built by her own data science team. She now leads Care Transformation at Honor, the senior home care platform, where that early contest became the blueprint for how the company decides what AI should touch, and what it shouldn't. In this conversation, Noah and Rebekah get into how a business built entirely on trust and vulnerable moments decides where to let AI in. They cover why unstructured data doesn't automatically mean you need a language model, what it actually takes to turn a fuzzy client complaint into a precise, AI-ready metric, and why the hardest part of deploying AI is writing the goal correctly, not building the model. You'll hear: How Honor defined the outcome before automating staffing decisionsThe real story behind Rebekah vs. Octopus, the human-versus-algorithm contest that built the system running Honor's staffing todayHow her team decided a language model was the wrong tool for a problem everyone assumed needed oneWhere Honor draws the line between AI working in the background and AI on the phone with a clientTimestamps:  (00:00) Introduction(02:05) Inside Honor: senior care built like a tech platform(10:06) Turning client churn into a math problem(16:38) Rebekah vs. Octopus: human vs. algorithm (23:53) Where large language models actually showed up in the product (26:59) When not to use an LLM (30:10) What's blowing her mind about agentic AI right now (33:01) Directed Work: letting the system decide who does what (45:01) How AI will reshape product teams next year Resources: Valet — Episode Sponsor Valet is the founding sponsor of the Serious People Podcast. AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem. Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.dev  Rebekah Stevens operator field guide: https://seriouspeople.valet.run/spp-rebekah-operator-field-guide/ Connect with Rebekah on LinkedIn: https://www.linkedin.com/in/rebekah-stevens-6751b41a/  Honor’s Website: https://www.honorcare.com/ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Noah’s Website: https://www.noahlevin.com/  Serious People Website: https://seriouspeople.ai/  (00:00) - Introduction (02:05) - Inside Honor: senior care built like a tech platform (10:06) - Turning client churn into a math problem (16:38) - Rebekah vs. Octopus: human vs. algorithm (23:53) - Where large language models actually showed up in the product (26:59) - When not to use an LLM (30:10) - What's blowing her mind about agentic AI right now (33:01) - Directed Work: letting the system decide who does what (45:01) - How AI will reshape product teams next year

    Rebekah Stevens: Turning Elder Care Into a Math Problem

  6. Sep 1

    Nisha Balwani on Why AI Adoption Starts with the CEO

    Nisha Balwani took over RCI Technologies, the government IT staffing and services firm her parents founded in the 1980s, and is now figuring out where AI actually fits inside a business built on decades-long contracts and highly regulated clients. Noah and Nisha get into what it took to get a skeptical team on board, how one employee's irreplaceable process got turned into an AI-assisted workflow without losing the human check, and why government adoption of AI looks nothing like the private sector. Nisha also shares how her internal experiments turned into a side consulting practice helping other small and mid-size businesses figure out where to start. Topics covered: Turning a change-management standoff into team buy-inEncoding one employee's institutional knowledge into an AI workflowHow government and regulated clients approach AI adoption differentlyBuilding a consulting practice out of solving your own AI problem firstChapters:(00:00) Introduction(02:40) Will AI disrupt the staffing model itself?(03:53) Why relationships beat RFPs — and the AI-pilled 60-something salesperson(06:48) Finding your real bottleneck, and the candidate caught using AI mid-interview(09:14) How to be an AI-pilled CEO without alienating your team(11:22) Change management, inside champions, and clients who can't keep up(16:09) Nisha's personal AI stack: Claude Enterprise and MCP connectors(18:22) Killing busywork: automating the CRM and ditching the "Beautiful Mind" spreadsheet(27:11) The invoicing build: from bus-factor-of-one to a working system(34:02) How to actually start building your own AI tool(40:29) Launching an AI consulting line: origin story and pricing(45:39) Lightning round: strategy decks, dumbest AI moments, and where to find Nisha   Resources: Valet — Episode Sponsor Valet is the founding sponsor of the Serious People Podcast. AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem. Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.dev    Connect with Nisha on LinkedIn: https://www.linkedin.com/in/nishabalwani/ Follow RCI on LinkedIn: https://www.linkedin.com/company/rci-technologies-inc./ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Noah’s Website: https://www.noahlevin.com/  Serious People Website: https://seriouspeople.ai/  (00:00) - Introduction (02:40) - Will AI disrupt the staffing model itself? (03:53) - Why relationships beat RFPs — and the AI-pilled 60-something salesperson (06:48) - Finding your real bottleneck, and the candidate caught using AI mid-interview (09:14) - How to be an AI-pilled CEO without alienating your team (11:22) - Change management, inside champions, and clients who can't keep up (16:09) - Nisha's personal AI stack: Claude Enterprise and MCP connectors (18:22) - Killing busywork: automating the CRM and ditching the "Beautiful Mind" spreadsheet (27:11) - The invoicing build: from bus-factor-of-one to a working system (34:02) - How to actually start building your own AI tool (40:29) - Launching an AI consulting line: origin story and pricing (45:39) - Lightning round: strategy decks, dumbest AI moments, and where to find Nisha

    Nisha Balwani on Why AI Adoption Starts with the CEO

  7. Aug 25

    When AI Answers Your Doctor's Phone

    For the office manager at your doctor’s office, it’s not about having an "AI strategy." It’s about answering the phone during the 8am rush, or patients hanging up before anyone picks up. Alex Cohen used to run product at Carbon Health, where he first tried to solve that problem with call-center software. Now he's co-founder of Hello Patient, where AI agents answer the phone, book appointments, and handle insurance and billing calls for healthcare clinics.  On this episode, he lays out the three rules his team won't break when they put AI in front of a patient. He also explains why the hardest part of any AI rollout isn't the AI; it's the 20% of the work that every clinic does differently. And he gives a direct answer to the question every operator actually has: what do I need to check before AI can touch my own systems? No strategy decks. No jargon. Just what it takes to run AI inside a business that can't afford to get it wrong. Topics covered: What Hello Patient's AI agents actually do inside a healthcare clinicThe three non-negotiable rules for deploying AI in a clinical setting How to actually get AI-ready (EMR access, APIs, compliance) Chapters: (00:00) Introduction(01:00) Alex Cohen: From Carbon Health to Hello Patient's Origin Story(06:03) Finding the Pattern: Building the First Voice AI(08:05) From Manual IVRs to Agentic AI(12:14) What Hello Patient Actually Does(14:15) Rule #1 — No Clinical AI Without a Human in the Loop(20:49) Rule #2 — Never Let AI Pretend to Be Human(27:01) Rule #3 — Don't Try to Automate 100% of Calls(29:44) The Last-Mile Problem: Why the Final 20% Is 90% of the Work(33:25) Why EMRs Aren't Commoditized Like Your CRM (34:58) How to Actually Get AI-Ready (37:08) Why Some Systems Won't Give You API Access (38:33) HIPAA, Compliance, and Where AI Actually Helps (40:57) Where to Find Alex & Hello Patient Resources: Valet — Episode Sponsor Valet is the founding sponsor of the Serious People Podcast. AI is getting very good at making useful things: dashboards, analyses, internal websites, and small tools. Making those things available to the rest of a team is a separate problem. Valet lets you publish AI-created artifacts to a stable URL. New sites are private by default, and members of your organization can access them after signing in. Try Valet at https://valet.dev  Connect with Alex on LinkedIn: https://www.linkedin.com/in/alexander-cohen/  Follow Hello Patient on LinkedIn: https://www.linkedin.com/company/hello-patient/ Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Noah’s Website: https://www.noahlevin.com/  Serious People Website: https://seriouspeople.ai/

    When AI Answers Your Doctor's Phone

  8. Aug 18

    Matt Van Horn: Never Read the Plan

    Matt Van Horn got rid of his IDE. Then he got rid of his text editor. Now he doesn't even read the plan his AI agent writes; he just asks for the TL;DR (Too long; didn’t read) and lets it run. He's the founder behind three open-source projects (Last 30 Days, Printing Press, and Agent Cookie), the former founder of June, the smart oven company that put an NVIDIA GPU on a countertop appliance years before anyone said "agentic," and he's now building a new company in what he calls the "after Claude" era. In this conversation, Noah and Matt get into what it actually looks like to trust an AI agent with real work, where that trust should stop, and why the calculus changes completely once real customers, real revenue, or real hardware are on the line. In this episode, you’ll hear: Why Matt stopped reading the plan, and when that's actually a bad ideaHow building a company after Claude 4.5 changes headcount and strategyThe simplest way to start learning AI coding by contributing to open sourceChapters:(00:00) Introduction (02:15) The case for “dangerously skip permissions” (03:31) From “don’t read the code” to “don’t read the plan” (07:45) Why vibe coding died last Thanksgiving (09:11) Matching your risk tolerance to the stakes (11:13) Building a company after Claude 4.5 (15:04) Personal productivity with Granola and Claude Code (16:05) The missing agentic email product (18:07) How the open source projects feed the business (20:35) The best way to start contributing to open source (25:06) There's more than one right way to build now Resources: Sponsor: Valet — https://valet.dev — the secure place to share what AI creates.Follow Valet on LinkedIn: https://www.linkedin.com/company/valetdotdev/  Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/ Serious People Website: https://seriouspeople.ai/  Connect with Matt on X: https://x.com/mvanhorn  Find Matt on GitHub: https://github.com/mvanhorn  June’s Website: https://juneoven.com/  Lyft’s Website: https://www.lyft.com/  Matt's projects Last 30 Days: https://github.com/mvanhorn/last30days-skill  CLI Printing Press: https://github.com/mvanhorn/cli-printing-press  Printing Press Library: https://github.com/mvanhorn/printing-press-library  Agent Cookie: https://github.com/mvanhorn/agentcookie  Agentic engineering Compound Engineering: https://github.com/EveryInc/compound-engineering-plugin  CE plan: https://github.com/EveryInc/compound-engineering-plugin/blob/main/docs/skills/ce-plan.md  Claude Code: https://claude.com/product/claude-code  OpenAI Codex: https://openai.com/codex/  Products and tools mentioned Howie: https://howie.com/  Granola: https://www.granola.ai/  Superhuman: https://superhuman.com/  Clicky: https://github.com/farzaa/clicky  Wispr Flow: https://wisprflow.ai/  Digg: https://digg.com/  OpenClaw: https://github.com/openclaw/openclaw  Hermes Agent: https://github.com/NousResearch/hermes-agent  cmux: https://github.com/manaflow-ai/cmux  Ghostty: https://github.com/ghostty-org/ghostty  Podcast reference Lenny's Podcast with Cat Wu: https://open.spotify.com/episode/7wTqD5zwl8ZitUeplapvBG  Cat Wu: https://www.linkedin.com/in/catwu/

    Matt Van Horn: Never Read the Plan

  9. Aug 11

    Michael Ducker: What Actually Makes You an Agent Builder

    Michael Ducker and Noah Levin get into the practical mechanics of bringing AI into a real business. Michael shares the story behind his work building open source emoji at Twitter, then digs into why AI is creating real disillusionment even as it transforms how work gets done. They walk through what it actually takes to get IT and a skeptical team on board, and the step-by-step process for turning a single AI session into a reusable skill through a technique called hill climbing. The conversation lands on the real shift underway: agents moving from single-player tools into something teams build and share together, changing what it means to be a worker at all. You’ll hear: Three reasons AI adoption is creating disillusionment right nowHow to get IT comfortable with AI tools through proxies and access controlsWhat a skill really is, and how to build one using the hill climbing techniqueMoving from single player AI use to building agents with a teamWhere to start automating real business processes, from knowledge bases to full agent workflowsChapters: (00:00) Introduction(01:06) Michael's role in bringing open source emoji to the web(04:10) Sponsor: Valet(05:39) Three reasons AI is causing disillusionment(09:33) The trust question: giving AI access to email and bank accounts(12:07) The founding story of Valet(15:43) What actually sells AI adoption to a team(20:31) Building a shared folder as the foundation for team AI adoption(22:45) What a skill is and how to build one through hill climbing(32:34) Single-player vs. multiplayer mode(33:39) What an agent is, and graduating to agent builder(36:54) Where to start: high-value agent use cases(42:37) Startup and model risk: playing the long game(43:48) Where to find Michael, and wrap-up Resources:Valet — Episode Sponsor Valet turns repeatable business processes into agents that work where your team already does—across Slack, email, calendars, and the tools you use every day. Try the Calendar Research agent, which researches who you’re meeting and sends the context you need directly to Slack before the conversation. Set up Calendar Research with Valet https://dashboard.valet.dev/deploy/calendar-research Valet — own the business, not the busy-ness. Follow Valet on LinkedIn: https://www.linkedin.com/company/valetdotdev/  Valet Website: https://valet.dev/ Connect with Michael on LinkedIn: https://www.linkedin.com/in/miradu/ Connect with Michael in person at Agent Builders Breakfast: https://agentbuildersbreakfast.com/  Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Serious People Website: https://seriouspeople.ai/

    Michael Ducker: What Actually Makes You an Agent Builder

  10. Aug 4

    Serious People: Real AI for Real Businesses

    Most AI content is tech people talking to tech people. Serious People is different. This is for the operators actually running things — selling supplements, managing caregivers, coordinating field crews. Real businesses with bad data, compliance headaches, and employees who've heard it all before. Host Noah Levin spent almost twenty years inside complex operations at Amazon, Whole Foods, and healthcare tech. Now he sits down with operators who've done the work: what broke, what they tried, what it cost, and whether it actually paid off. No hype. No magic prompts. No pretending the hard part is picking a model. Just AI, inside a real business, from people who run one. New episodes start this month. Subscribe now. Resources: Connect with Noah on LinkedIn: https://www.linkedin.com/in/noahlevin/  Noah’s Website: https://www.noahlevin.com/  Serious People Website: https://seriouspeople.ai/

    Serious People: Real AI for Real Businesses
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About

Serious People Podcast: An Operator's Manual to AI is a podcast for business leaders and operators running complex, real-world businesses. The ones selling supplements, managing caregivers, or running service crews. Not software. Host Noah Levin brings nearly two decades of experience at Amazon, Whole Foods, and healthcare tech to weekly conversations about what AI outcomes work inside a business, and what doesn't. Equal parts practical and irreverent, but useful above all else.

Information

  • Creator
    Noah Levin
  • Years Active
    2026
  • Episodes
    10
  • Rating
    Explicit
  • Copyright
    © 2026 Serious People
  • Show Website
    Serious People Podcast

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