Explore every episode of the podcast Built This Week
| Title | Pub. Date | Duration | |
|---|---|---|---|
| Every Client Is Fortune 500. What Do They Know About AI That You Don’t? | 14 Oct 2026 | 00:20:52 | |
This week we sat down with Jim Olsen, co-founder and CTO of ModelOp, to explore what it takes to get AI into production inside Fortune 500 companies. Building a model is only part of the job. Knowing where it runs, what it costs, who owns it, and whether it meets company policies is where things get complicated. Jim walks us through a live demo of ModelOp, showing how it discovers unregistered enterprise AI, brings it into a central inventory, and uses agents to fill out documentation and flag compliance gaps. His team is turning work that can take months into a process that takes minutes, with humans still in the loop. We also covered why AI spending needs to be measured by business use case, whether an AI-powered pet feeder solves a real problem, and how Jim runs engineering from an off-grid home at 10,200 feet in the Colorado mountains. We cover: If you are building with AI, managing enterprise AI deployments, or trying to understand how governance can accelerate delivery, this episode is for you. Find Jim and ModelOp: New episodes every Friday at BuiltThisWeek.com TIMESTAMPS #AI #ModelOp #AIGovernance #EnterpriseAI #ShadowAI #AIAgents #Fortune500 #BuildWithAI #BuiltThisWeek | |||
| Nobody Takes Notes Anymore. 5 Million People Let AI Do It Instead. | 09 Oct 2026 | 00:22:19 | |
This week we sat down with Rob Williams, co-founder and CTO of Read AI, to dig into what 5 million monthly active users actually looks like at the product and infrastructure level. Most people know Read AI as a meeting note taker. Rob winces every time he hears that. What it really does is capture every conversation across your organization and turn it into intelligence — daily briefings, smart routing, and organizational context that moves itself to where it needs to be.We also covered AI companion apps and the unit economics behind them, the AI adoption divide inside enterprise companies, and Opus 5.5 dropping this week. We cover:
If you are building with AI, managing a team, or want to understand where enterprise AI is actually heading, this episode is for you. Find Rob and Read AI: Website: readai.com Email: rob@readai.com LinkedIn: [LINKEDIN LINK — to be added] New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:06] Meet Rob — co-founder and CTO of Read AI [01:42] What Read AI actually is beyond meeting notes [02:12] Meetings as the biggest investment companies make [02:33] The daily briefing feature — live demo [03:47] Smart routing — data flows where it needs to go [04:57] Unusual use cases and the AI adoption divide inside companies [06:19] 7-day data retention and what it says about fast-moving companies [06:40] 5 million monthly active users and how they got there [07:00] Token economics at scale [10:00] The future — information that moves itself [15:34] What supersedes old context — the data freshness problem [15:55] News — Hot Girl Hotline, AI relationship advice [17:09] Is AI as a companion dangerous or valuable [18:14] AI memory and the sounding board use case [19:37] Unit economics of AI companion products [20:13] Sam uses AI for big personal decisions [21:32] Where to find Rob [21:50] Wrap up #AI #ReadAI #Meetings #Enterprise #FutureOfWork #BuildWithAI #BuiltThisWeek #Productivity #Anthropic #AICompanion | |||
| He Ran a Rocket Launch Company. Now He Is Building Autocomplete for Hardware Design. | 02 Oct 2026 | 00:17:12 | |
He Ran a Rocket Launch Company. Now He Is Building Autocomplete for Hardware Design. This week we sat down with Sohrab Haghighat, CEO and co-founder of Hestus, to demo the AI layer that sits on top of your existing CAD software and autocompletes your next design move. Rob spent years as an aerospace engineer, ran a rocket launch company, and built Hestus to eliminate the manual clicks that slow hardware engineers down and introduce errors into designs.We also covered Anthropic 5.5, GPT-6, and a new Grok model all dropping in the same week — and why intelligence getting cheaper is good news for everyone building right now. We cover:
If you are building hardware, working in engineering, or want to understand where AI is going beyond software, this episode is for you. Find Rob and Hestus: Website: hestus.co LinkedIn: linkedin.com/in/sohrabhaghighat Twitter: x.com/s_haghigh New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:12] Meet Rob — CEO and co-founder of Hestus [01:33] Aerospace engineer, rocket launch company, and the pain that led to Hestus [02:29] Live demo — AI autocomplete inside CAD software [03:50] How Hestus sits on top of your existing CAD tool [04:16] Meeting engineers where they are — no new workflow [05:02] How Hestus learns your preferences within a session [06:32] Available on Autodesk Fusion now, SolidWorks coming soon [07:20] Who is using Hestus — mechanical, aerospace, robotics engineers [08:30] Bottom-up approach — sketch to 3D to manufacturing readiness [10:25] Long term vision — Claude Code for hardware design [11:15] The gap between a flashy model and one ready for manufacturing [12:00] News — Anthropic 5.5, GPT-6, and Grok released same week [13:18] Jordan tests the new Opus — cheaper and competitive with Fable [14:41] Intelligence is getting cheaper — what that means for builders [15:06] Why LLM improvements do not directly improve Hestus [16:08] Where to find Rob and Hestus [16:31] Wrap up #AI #CAD #HardwareDesign #Engineering #Hestus #BuildWithAI #BuiltThisWeek #Anthropic #OpenAI #Aerospace | |||
| She Sold Her First AI Company to Google in 2009. Now She Is Fixing How Teams Work. | 21 Sep 2026 | 00:21:46 | |
This week we sat down with Jennifer Dulski, CEO and founder of Rising Team, to demo the AI leadership platform that acts as a personal trainer for your effectiveness at work. Jen spent 10 years at Yahoo, then Google, then Facebook, ran Change.org for five years, and sold her first AI company to Google in 2009. That company now powers the review insights inside Google Maps. She also teaches at Stanford GSB.Rising Team's AI coach RT does not give generic leadership advice. It knows your team. It knows that Tom likes direct feedback and Debbie needs encouragement first. And it helps you practice the conversation before you have it.We also got into why Apple Intelligence took too long, why AI memory still feels creepy to some people, and why the best AI features are the ones you never notice. We cover:
If you are building with AI, managing a team, or want to understand where workplace AI is heading, this episode is for you. Find Jen and Rising Team: Website: risingteam.com LinkedIn: linkedin.com/in/jdulski New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:11] Meet Jen — CEO and founder of Rising Team [01:44] From high school teacher to Yahoo, Google, Facebook, and Stanford GSB [02:27] What Rising Team is at the highest level [02:47] Why coaching never scaled past the executive level [03:40] How Rising Team started in 2020 [04:03] DealMap — her first AI company, sold to Google, now inside Google Maps [05:18] How Rising Team evolved from team building software to AI coach [05:55] How RT knows your team individually [06:31] Live demo — RT in action [07:00] Why 70 percent of AI transformations fail because of people [07:24] The science of high performing teams has not changed [08:12] What a session with RT actually looks like [10:00] Real-time anonymized insights for executives [14:21] Why the engagement survey is dying [14:48] Real insights from enterprise customers [15:36] Privacy guardrails and EU AI Act compliance [16:43] News — Apple Intelligence, Siri, and why it took too long [18:28] The AI memory debate [20:06] The best AI features are the ones you never notice [21:00] Where to find Jen and Rising Team [21:42] Wrap up #AI #Leadership #RisingTeam #FutureOfWork #BuildWithAI #BuiltThisWeek #TeamManagement #AICoach #Apple #HR | |||
| It Ships While You Sleep. The AI Agent OS a Former Google Engineer Built After Leaving Google. | 04 Sep 2026 | 00:26:44 | |
This week we sat down with David Petrou, CEO of Continua, to demo Wheely — an agent development operating system built for developers running multiple AI coding agents who are hitting the wall of mental overhead. David spent 18 years at Google, was on the founding teams of Google Glass and Google Goggles, and left when ChatGPT launched. We also covered the foldable iPhone, Android vs Apple for AI agents, Fable 5.1, Anthropic vs OpenAI on developer experience, and whether new programming languages designed for agents are coming. We cover:
If you are building with AI agents, working in dev tools, or want to understand where the agent coding stack is heading, this episode is for you. Find David and Wheely: Website: wheelie.dev Twitter: x.com/dpetrou New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:07] Meet David — CEO of Continua and creator of Wheely [01:56] Google Glass, Google Goggles, 18 years at Google [02:40] Why he left Big Tech when ChatGPT launched [05:18] The previous product — social AI for group chats [06:36] When coding agents changed everything [08:03] How building for agents internally became the real opportunity [08:56] Who Wheely is built for [09:46] What happens when you run 4 agents at once [10:17] Human attention is the scarcest resource in agent coding [11:16] How Wheely works — decompose, allocate, optimize, interrupt only when needed [13:05] The space between Claude Code and Lovable [14:05] Modernizing legacy code and greenfield agent projects [15:18] Why React is bloated and agents can rebuild frontends better [16:11] News — Apple foldable iPhone coming Q3 [17:29] Apple unified memory vs Android open OS for AI agents [18:27] Android disintermediating apps with off-screen agent execution [20:24] Will the foldable iPhone matter if agents take over development [20:48] Fable 5.1 launch — honest developer take [22:10] Anthropic vs OpenAI on developer experience and harness access [23:17] New programming languages designed for agents [25:19] The coevolution of models, harnesses, and programming languages [25:40] Where to find David and Wheely [25:55] Wrap up #AI #AIAgents #Wheely #DevTools #GoogleGlass #BuildWithAI #BuiltThisWeek #Anthropic #Fable #Apple #iPhone | |||
| Physics Simulation for Chip Design Used to Take Days. This AI Does It in Seconds. | 10 Jul 2026 | 00:30:13 | |
This week we sat down with Hardik Kabaria, co-founder and CEO of Vinci, to demo the AI platform making physics simulation accessible to any engineer building hardware. A chip tape-out used to cost millions of dollars and take months. Thermal analysis that should take seconds was waiting days for a specialist with a PhD. Vinci is compressing all of that into minutes — and making it accessible to anyone on the design team, not just the simulation expert.We also got into why AI image and video generation still has not produced a Netflix movie, what has to change before it does, and how AI getting into hardware design raises the stakes around IP and watermarking in ways nobody is talking about yet. We cover: What Vinci does — making physics simulation accessible to anyone building hardware Why a chip tape-out costs millions and takes months and how AI is compressing that cycle How Vinci lets engineers get thermal and physics answers in seconds instead of days The existing workflow — designers, performance evaluators, and manufacturers rarely even work in the same team How simulation software went from requiring PhDs to something any engineer can access The digital twin concept — running physics experiments in software before touching physical prototypes Why the semiconductor and data center cooling market is the starting point News — AI image and video generation still has not crossed the quality schism Why there are no AI-generated movies on Netflix yet even though the models exist How AI getting into hardware design changes the stakes around IP and watermarking The parallel between language models democratizing reasoning and physics models democratizing simulation If you are building hardware, working in semiconductors, or want to understand where AI is going beyond software, this episode is for you. Find Hardik: LinkedIn: linkedin.com/in/hardikkabaria Twitter: x.com/hardikk13 Find Vinci: Website: getvinci.ai LinkedIn: linkedin.com/company/vinciphysics Company Twitter: x.com/VinciPhysics New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:14] Meet Hardik — co-founder and CEO of Vinci [02:06] What Vinci does — making physics accessible for hardware builders [03:24] How simulation has worked in hardware for decades [04:33] The digital and physical world of experiments [05:47] Getting physics answers in seconds instead of days [06:28] How Vinci fits into the existing hardware design workflow [08:10] The tape-out problem — millions of dollars and months per iteration [10:00] Live demo — thermal simulation for semiconductor design [13:00] Who is using Vinci and what problems they are solving [15:30] The language model analogy — democratizing physics reasoning [17:00] News — AI image generation and the quality schism [19:30] Why there are no AI movies on Netflix yet [21:00] AI getting into hardware and the IP watermarking problem [23:50] The regulations and guardrails that will follow [26:05] Where to find Hardik and Vinci [26:43] Wrap up #AI #Physics #Semiconductors #HardwareDesign #Vinci #ChipDesign #BuildWithAI #BuiltThisWeek #AIHardware #Simulation | |||
| A Ten Minute Phone Video Replaces Hours of Home Inspections. We Demo the AI Doing It. | 03 Jul 2026 | 00:16:12 | |
This week we sit down with Zach Rattner, CTO and co-founder of Yembo, to demo the computer vision platform that turns a ten minute phone walkthrough into a full home inventory, 3D model, and floor plan. Deployed in 35 countries, running thousands of inspections every day for moving companies and property insurers — and the end user never even knows AI is involved. We also dig into Claude Fable 5 being pulled without coding access, the 25,000 Chinese accounts exploiting the model, and whether AI has finally entered its regulatory adolescence. We cover:
If you are building with AI, working in insurance or logistics, or want an honest take on what happens when regulators start touching frontier models, this episode is for you. Find Zach and Yembo: Website: yembo.ai LinkedIn: search Zach Rattner New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:15] Meet Zach — CTO and co-founder of Yembo [02:05] What Yembo does — computer vision for home interiors [03:30] How a ten minute phone video replaces 90 minutes of in-home inspection [05:10] Live demo — the visual inventory report [07:00] The real AI opportunity — doing what was previously impossible [09:30] Embedding AI so the end user never knows it exists [11:00] Insurance use case — 3D model and floor plan from video [13:00] 30 percent of patents on guiding camera capture without a tutorial [14:30] News — Claude Fable 5 pulled and reinstated without coding [16:20] AI adolescence — the regulation debate [18:30] 25,000 Chinese accounts and the KYC problem [20:30] Where to find Zach and Yembo [21:00] Wrap up #AI #ComputerVision #Yembo #Insurance #MovingIndustry #ClaudeFable #BuildWithAI #BuiltThisWeek #PropTech #AIRegulation | |||
| The Code Running Your Plane Was Written Decades Ago. This Startup Proves It Still Works. | 26 Jun 2026 | 00:24:06 | |
This week we sit down with Ryan Aytay, President and COO of Code Metal, to dig into one of the most underestimated problems in tech — the legacy code running mission critical infrastructure across aerospace, defense, automotive, and medical devices. Code Metal translates that code to any hardware with mathematical proof it will behave identically. Provably correct. We also dig into Meta glasses, Jony Ive at OpenAI, and where AI hardware interfaces are really heading. We cover:
If you build software, work in hardware, or want to understand the infrastructure layer AI is about to touch, this episode is for you. Find Ryan and Code Metal: Website: codemetal.ai LinkedIn: linkedin.com/in/ryanaytay Company LinkedIn: linkedin.com/company/code-metal Twitter: x.com/Code_Metal_AI TIMESTAMPS [00:00] Intro [01:04] Meet Ryan — President and COO of Code Metal [02:00] What Code Metal does in one sentence [03:30] The legacy code problem in mission critical systems [05:32] What provably correct means and why testing is not enough [07:10] Formal methods — mathematical proof not just testing [08:45] How AI made formal verification scalable [10:20] Tesla over-the-air updates analogy [11:40] ICP — aerospace, defense, automotive, medical [13:05] Why vibe coding terrifies Ryan for mission critical systems [15:10] From Salesforce and Tableau to Code Metal — the origin story [17:30] News — Meta Ray-Ban glasses price drop and Kylie Jenner [19:45] Meta glasses given to veterans — the real use case [20:50] Jony Ive at OpenAI and the mystery hardware device [22:30] Why all AI interfaces are converging on glasses [23:05] Where to find Ryan and Code Metal [23:45] Wrap up New episodes every Friday at BuiltThisWeek.com #AI #CodeMetal #FormalMethods #LegacyCode #Engineering #Defense #Aerospace #BuildWithAI #BuiltThisWeek #AIHardware | |||
| AI Agents Doing Commercial Real Estate Due Diligence in Minutes. We Demo It Live. | 19 Jun 2026 | 00:24:32 | |
This week on Built This Week we sit down with Jackson, co-founder of Realm AI, to demo the platform replacing months of manual due diligence with AI agents that find, compile, and cite every piece of data on any commercial property in the US in minutes. We also go deep on the SpaceX IPO, what the Cursor acquisition means for the Elon portfolio, and whether the finance textbooks are just wrong. We cover:
If you are in real estate, building with AI agents, or want a fresh take on the SpaceX IPO from people who actually use the product, this episode is for you. New episodes every Friday at BuiltThisWeek.com TIMESTAMPS [00:00] Intro [01:04] Meet Jackson — co-founder of Realm AI [02:03] What Realm AI does and the problem it solves [03:19] Live demo — researching any US property in minutes [05:10] How the waterfall of data agents works [07:20] Why Realm refuses to make property recommendations [09:08] Before vs after — the printed spreadsheet era [11:27] Who is getting the most value — small firms vs big funds [14:43] ICP and asset type diversity [15:40] News — SpaceX IPO valuation above Amazon [16:41] Jackson's take — throw away the finance textbooks [17:40] The SpaceX monopoly on launches — 167 trips in 2025 [19:55] Jordan's bull case for the full Elon portfolio [21:12] Cursor acquisition confirmed [22:11] Watching a SpaceX launch in person [23:15] Where to find Jackson and Realm AI [23:46] Wrap up #AI #RealEstate #PropTech #AIAgents #SpaceX #Cursor #BuildWithAI #BuiltThisWeek #CommercialRealEstate | |||
| We Tested Claude 4 Fable and Deployed Enterprise Agents Without a Single Data Migration | 15 Jun 2026 | 00:23:39 | |
This week on Built This Week we sit down with Emanuele Melis, who leads Field Engineering at AI One, to demo how enterprises are deploying AI agents right now without needing a massive data transformation first. We also go deep on Claude 4 Fable — first impressions, token spend chaos, the '100x the design' prompt, and what the Jevons paradox means for AI consumption. We cover:
If you are building with AI, deploying agents in enterprise, or just want an honest take on Claude 4 Fable, this episode is for you. Find Emanuele and AI One: Website: ai.one LinkedIn: linkedin.com/in/emanuele-melis Company LinkedIn: linkedin.com/company/ai-one-1 TIMESTAMPS [00:00] Intro [01:33] Emmanuel builds a physics game with Claude in 10 minutes [03:30] Jordan's first take on Claude 4 Fable [04:35] Token spend confusion and the slider nobody understands [05:17] '100x the design' — what happened [06:37] Fable in five — Jordan's verdict [07:32] What AI One actually does — the context control layer [09:03] The autonomous ladder — starting agents at zero [10:12] High complexity low judgment — where agents win [11:40] Financial investigation use case — from one week to hours [13:25] 150,000 rules replaced by one agent [14:03] Coloring books for kids — the fun use case [15:07] News — Claude 4 Fable launch and what it means [15:55] Jevons paradox — cheaper tokens, more consumption [16:42] How fast AI has evolved in 18 months [17:17] Claude Code listening to live engineering meetings [18:49] SpaceX IPO — bull case vs wait and see [22:17] Where to find Emmanuel and AI One [22:50] Wrap up New episodes every Friday at BuiltThisWeek.com #Claude #Fable #AI #BuildWithAI #Enterprise #AIAgents #SpaceX #BuiltThisWeek #AIOne #ContextOne | |||
| Your Pipeline Is Lying to You. This AI Fixes It After Every Sales Call | 05 Jun 2026 | 00:26:09 | |
This week on Built This Week we sit down with Anis Bennaceur, co-founder and CEO of Attention, to demo the AI-native Revenue Operating System that automates CRM updates, sales coaching, and pipeline forecasting after every call. Sam also demos a Monte Carlo forecast dashboard he built on top of Attention's open source coaching stack. We cover:
If you are in sales, building a revenue operations stack, or want to understand where AI is taking enterprise software, this episode is for you. Find Anis and Attention: Website: attention.com LinkedIn: linkedin.com/in/anis-bennaceur Twitter: x.com/anisbennaceur1 Company LinkedIn: linkedin.com/company/attentiontech Company Twitter: x.com/tryattention TIMESTAMPS [00:00] Intro [01:03] Meet Anis — CEO and co-founder of Attention [01:50] Sam demos his Monte Carlo forecast built on Attention's open source stack [04:51] What Attention actually does — the core product [06:30] Painkiller vs vitamin — why CRM accuracy is the real problem [07:45] Real-time coaching scorecards and call scoring [09:20] Pipeline forecasting and deal risk detection [11:00] Who is using Attention and why [12:30] Automating work for reps, managers, leaders, and RevOps [14:00] News — Anthropic filing for an IPO [15:10] Uber CEO capping developer token spend [17:00] How Attention tracks LLM cost per client, per feature [19:05] Claude token caps and how Anis approves overrages personally [20:30] The token budget chaos — tracing where the spend went [22:30] Agents vs deterministic workflows — what actually works [24:34] Why workflows beat agents in most production scenarios [25:10] How to find Anis and Attention [25:30] Wrap up New episodes every Friday at BuiltThisWeek.com #AI #Sales #CRM #BuildWithAI #Anthropic #AIAgents #RevOps #BuiltThisWeek #Attention | |||
| This AI Platform Lets Anyone in Your Company Manage Operations Without a Single Engineer | 29 May 2026 | 00:23:45 | |
This week on Built This Week we sit down with Wiley Jones, CEO and co-founder of Doss, to demo an AI-native operations platform built for mid-market companies managing the flow of goods, dollars, and data. He incorporated the company a month before ChatGPT existed. We cover:
If you are building in enterprise software, working in operations, or want to understand where AI is taking business systems, this episode is for you. | |||
| The AI Product Team Replacement? Inside Autonomy AI’s Live Demo | 22 May 2026 | 00:25:06 | |
This week on Built This Week we sit down with Adir, CEO and co-founder of Autonomy AI, to demo the platform helping enterprise teams build, update, and ship product changes directly on top of their existing codebase. No slides. Just a live walkthrough of the real product. We cover: If you are building with AI, managing product teams, or trying to understand how software development workflows are changing, this episode is for you. | |||
| The Voice AI Platform Built for Enterprises That Actually Need to Scale | 15 May 2026 | 00:23:26 | |
This week on Built This Week we sit down with Karim, founder and CEO of Breeze (heybreez.ai), to demo the enterprise voice agent platform built for companies that actually need to run AI at scale. No slides. No prep. Just a live walkthrough of the real product. We cover:
If you are building with AI, scaling voice agents, or trying to understand where enterprise AI is heading next, this episode is for you. Find Karim and Breeze: Website: heybreez.ai LinkedIn: linkedin.com/in/kmalhas Twitter: x.com/kmalhas_ TIMESTAMPS [00:00] Intro [01:05] Meet Karim — founder and CEO of Breeze [02:12] Live demo — building a voice agent from scratch [07:34] Multi-agent architecture explained [11:55] Latency vs quality tradeoff in voice AI [12:56] OTP security and jailbreak prevention [14:13] The operational layer nobody is building [16:41] Version control, compliance, and phone groups [18:43] Who is the ideal customer for Breeze [21:49] Partnership model and global expansion [22:55] News — Anthropic raising at $900B valuation [24:28] Will AI replace junior developers [26:05] Building from the Middle East — why it matters [28:23] Where to find Karim and Breeze [28:52] Wrap up New episodes every Friday at BuiltThisWeek.com #VoiceAI #AIAgents #Enterprise #Anthropic #BuildWithAI #BuiltThisWeek #AIStartup #heybreez | |||
| This Headset Reads Your Brain in Real Time. We Demo It Live. | 08 May 2026 | 00:21:17 | |
This week on Built This Week we sit down with Ramses Alcaide, founder of Neural, to demo a noninvasive brain computer interface that tracks your focus in real time through a pair of headphones. No surgery. No implants. Just data. We cover:
If you are building with AI, interested in wearables, or want to understand what brain computer interfaces actually are today, this episode is for you. TIMESTAMPS [00:00] Intro [00:44] Meet Ramses — what is a brain computer interface [01:40] How the headphones track focus in real time [02:28] Live focus tracking demo on the podcast [03:00] Browser plugin that adjusts podcast speed to your brain [04:35] How to use biofeedback to stay focused [07:02] Brain health tracking — cognitive strain and brain age [07:33] Gaming use case — overclocking your brain with HP [08:16] ER doctors and high stakes focus applications [09:08] How AI finally brought BCI out of the lab [10:01] Origin story — PhD, family tragedy, US Army backing [11:45] How to find Ramses and the product [13:09] Ice bath experiment — men vs women brain data [14:45] News — AI security cameras calling dogs bears [15:13] Why edge AI for consumer hardware is brutally hard [16:28] Brain data and camera AI share the same constraint [17:08] Kids bypassing age verification with a fake mustache [19:23] Brain signature as the future of identity verification [20:03] Wrap up New episodes every Friday at BuiltThisWeek.com #BCI #AITools #Neuroscience #BuiltThisWeek #BrainComputerInterface #AI #Wearables #EdgeAI | |||
| Claude Design Changes Everything (Figma in Trouble?) | 24 Apr 2026 | 00:20:51 | |
This week on Built This Week, we break down one of the most interesting new AI product launches in recent memory: Claude Design. Links Jordan Metzner Sam Nadler | |||
| This AI Tool Turns Meetings Into Jira Tickets Instantly | 17 Apr 2026 | 00:19:32 | |
This week on Built This Week, we break down how AI helped a non-technical teammate build a real internal product that now helps teams move faster across the company. No buzzwords. No fake use cases. Just real AI in production. We cover: ⏱ TIMESTAMPS 🎙 HOST INFO 🔗 CTA + LINKS Follow along: | |||
| We Built an AI Tool That Replaced a Week of Work | 10 Apr 2026 | 00:23:00 | |
This week on Built This Week, we break down a real AI tool we built that’s already saving days of work in production. No demos. No fluff. Just how AI is actually being used inside a real business. We cover: If you're building with AI or thinking about how to apply it inside your company, this episode is for you. ⏱ TIMESTAMPS 00:00 Intro 10:40 Google AI Studio deep dive 15:33 The real framework for choosing AI tools 19:45 Meta’s new AI push 22:30 Wrap up 🎙 HOST INFO Hosted by Jordan Metzner and Sam Nadler We build AI-native companies and tools used by startups, enterprises, and investors. | |||
| Why AI Inference Is So Expensive (And How Positron Is Solving It) | 03 Apr 2026 | 00:29:03 | |
Training gets the headlines. Inference is where the money is. In Episode 37 of Built This Week, we sit down with Mitesh, CEO of Positron AI, to break down one of the biggest bottlenecks in AI today: inference infrastructure. While the world focuses on trillion-parameter models and frontier labs, the real constraint isn’t intelligence — it’s memory, bandwidth, energy, and cost. We cover: • Why inference is where 90% of AI spend happens We also dive into: • OpenAI’s $122B valuation If you care about the future of AI, silicon, infrastructure, or trillion-dollar companies — this episode is for you. New episodes every Friday. ⏱ TIMESTAMPS (0:00) Why inference is the real AI bottleneck | |||
| How We Built an AI Video Editor for Recruiters (Remotion + Claude + Codex) | 22 Mar 2026 | 00:18:45 | |
Our recruiters are not video editors. But now they can cut highlight reels in minutes. In Episode 36 of Built This Week, we break down a tool we built internally at Ryz Labs that lets our recruiting team generate polished candidate highlight videos without touching Premiere, Final Cut, or CapCut. The problem: When presenting candidates to clients, resumes are standard. The issue was speed. So we built a highlight reel generator powered by: • EntreVista AI interview transcripts The system automatically: No editing experience required. Then we dive into Remotion and why “video as code” is one of the most underrated AI enabled workflows right now. Finally, we discuss the growing cost of AI usage inside organizations: AI is democratizing building. But it is also introducing a new management layer. New episodes every Friday. ⏱ TIMESTAMPS (0:00) The problem: recruiters are not video editors 🔗 LINKS Built This Week Jordan Metzner Sam Nadler | |||
| AI Agents Are Replacing Entire Marketing Teams | 14 Mar 2026 | 00:29:10 | |
Marketing teams are about to change forever. Instead of hiring designers, copywriters, analysts, SEO specialists, and performance marketers… companies are starting to run AI marketing agents that handle everything. From planning campaigns to creating content, analyzing performance data, generating ads, and optimizing strategy automatically. In this episode of Built This Week, Sam Nadler and Jordan Metzner sit down with Iliya Valchanov, CEO of Juma, to explore how AI agents are transforming modern marketing workflows. Juma is building an AI marketing super-agent that can autonomously plan, execute, and optimize marketing campaigns across channels like social media, ads, analytics, and SEO. During the episode, Ilia demos how a single prompt can generate a complete social media strategy, content calendar, and visual assets in minutes. Even more surprising — Ilia explains how their own company replaced a 7-person go-to-market team with just one person using AI agents. We also dive into the future of AI agents, how developers are working with coding agents like Claude Code and Codex, and why the next wave of AI tools may turn websites into constantly evolving, self-optimizing systems. In this episode we discuss: • How AI agents automate entire marketing workflows This episode is a glimpse at how AI agents may reshape marketing, coding, and digital products over the next decade. ⏱️ TIMESTAMPS (0:00) Welcome to Built This Week 🔗 LINKS Juma Built This Week 🎙️ HOSTS Jordan Metzner Sam Nadler | |||
| AI Is Rebuilding Clinical Trials | 07 Mar 2026 | 00:26:58 | |
Clinical trials are one of the slowest and most expensive processes in modern medicine. It can take 10–15 years and up to $3 billion to bring a new drug to market — and many trials fail simply because they can’t enroll enough patients. In this episode of Built This Week, Sam Nadler and Jordan Metzner sit down with Dr. Chadi Nabhan, Chief Medical Officer at RyghtAI, to explore how AI-powered digital twins of clinical trial sites can dramatically improve the speed and success of clinical trials. RyghtAI has built a platform that creates digital twins of thousands of clinical trial sites worldwide, allowing pharmaceutical companies to instantly identify the best locations and investigators for any given trial. Instead of relying on manual site selection or reputation-based decisions, AI analyzes historical trial performance, patient demographics, biomarker capabilities, and infrastructure to determine which sites are most likely to enroll patients successfully. The result: faster trials, better patient representation, and potentially life-saving therapies reaching the market sooner. In this episode we discuss: • Why 80% of clinical trials fall behind schedule If AI can dramatically improve the speed and efficiency of clinical trials, it could reshape how quickly new treatments reach patients worldwide. ⏱️ TIMESTAMPS (0:00) Welcome to Built This Week 🔗 LINKS Ryght AI Dr. Chadi Nabhan Built This Week 🎙️ HOSTS Jordan Metzner Sam Nadler | |||
| AI Is Transforming Construction — We’re Entering a Golden Era | 28 Feb 2026 | 00:27:43 | |
Construction has lagged behind every major industry in technology adoption. Manual data entry. Spreadsheets. Email-based procurement. Slow invoice approvals. Paper delivery tickets. That’s finally changing. In this episode of Built This Week, Sam Nadler and Jordan Metzner sit down with Eldar (Field Materials AI) to break down how AI is automating procurement for commercial and civil contractors — from reading quotes and invoices to verifying pricing, matching delivery tickets, and integrating directly with ERPs. Field Materials builds AI agents that eliminate manual data entry across the procure-to-pay cycle for electrical, mechanical, concrete, drywall, and other commercial subcontractors working on hospitals, data centers, and billion-dollar infrastructure projects. We also explore: • Why construction productivity has barely improved in decades This isn’t theoretical AI. This is production AI operating inside large-scale commercial construction projects today. ⏱️ TIMESTAMPS (0:00) Entering the golden era of construction tech 🔗 LINKS Field Materials Built This Week 🎙️ HOSTS Jordan Metzner Sam Nadler | |||
| From DNA to Drugs: How AI Is Rewriting Human Biology | 21 Feb 2026 | 00:30:05 | |
DNA is just another language. In Episode 32 of Built This Week, we sit down with Dov Gertz, founder of Converge Bio, to explore how generative AI is transforming drug discovery. Every human can be represented as 3.2 billion nucleotides built from four letters: A, C, G, and T. If computers run on zeros and ones, we run on biological code. Converge Bio is training frontier foundation models on DNA, RNA, proteins, and small molecules — helping biotech and pharma companies design better drugs, faster and cheaper. We also demo a retro-inspired “Cell Defense Arena” game built for Converge to use at conferences. Then we pivot into AI infrastructure and agent workflows: The GPU bottleneck and pharma’s growing demand for compute The big takeaway: Chatbots are impressive. If you work in biotech, pharma, AI research, or frontier infrastructure — this episode is for you. New episodes every Friday. ⏱ TIMESTAMPS (0:00) DNA as code: 3.2 billion nucleotides 🔗 LINKS Converge Bio Built This Week Jordan Metzner Sam Nadler | |||
| How AI Is Replacing 100-Hour Due Diligence (Claude 4.6, Private Equity, and Emblem) | 13 Feb 2026 | 00:25:55 | |
Private equity due diligence used to take hundreds of hours. Now it takes seconds. In Episode 31 of Built This Week, we sit down with August Kiles, Head of Product at Emblem, to break down how AI is transforming investment funds — from venture capital to growth equity to private equity. Emblem is building what they call the “last platform investors will ever need” — a system that ingests entire data rooms, extracts financials, compares deals, generates reports in Word, Excel, and PowerPoint, and helps funds get to a “no” faster. We also demo a portfolio scenario simulation tool inspired by Emblem — showing how macro events like regulatory pressure or liquidity surges could impact a 30-company portfolio. Then we dive into the latest AI news:
The big takeaway: AI is not eliminating analysts. If you work in VC, private equity, family offices, or growth equity — this episode is for you. New episodes every Friday. ⏱ TIMESTAMPS (0:00) Emblem’s mission: the last platform investors will ever need 🔗 LINKS Emblem Built This Week Jordan Metzner Sam Nadler | |||
| Claude Opus 4.6, Codex 5.3, and the Rise of Multi-Agent AI | 07 Feb 2026 | 00:18:48 | |
The biggest shift in AI isn’t a new model. In Episode 30 of Built This Week, Sam Nadler and Jordan Metzner break down how they’re actually using the latest AI releases — including Claude Opus 4.6 and OpenAI Codex 5.3 — to build real software inside their own workflows. Jordan walks through a private, fully local AI system built with Claude Code that turns raw 23andMe data, blood work, medications, and personal health inputs into a unified health dashboard. The goal isn’t diagnostics — it’s creating a long-term, living record that surfaces insights doctors don’t easily connect. Sam then demos an AI-powered personal trainer built using the new Codex desktop Mac app and high-reasoning models. The system adapts workouts rep-by-rep, adjusts volume in real time, and highlights the tradeoffs between fast iteration tools and slower, deeper reasoning workflows. We close with the biggest AI platform launches of the week:
The era of one chatbot at a time is over. No hype. New episodes every Friday. TIMESTAMPS (0:00) The shift from single-agent AI to multi-agent systems LINKS Built This Week Jordan Metzner Sam Nadler | |||
| We Built an AI Recruiter Coach in 6 Hours (Plus Claude Cowork in Real Time) | 01 Feb 2026 | 00:20:06 | |
Can you really build serious internal AI tools in a few hours — and should everyone on your team be doing it? In Episode 29 of Built This Week, Sam Nadler and Jordan Metzner break down an internal AI product they built at Ryz Labs called ScreenEval — a recruiter screen analysis and coaching tool built in under six hours using Claude Code, Supabase, and AWS. We start with a live demo. Sam walks through how ScreenEval ingests recruiter screen transcripts, evaluates candidates, scores recruiter performance, and provides concrete coaching feedback — all without overriding human judgment. The real unlock is turning messy interview transcripts into searchable, structured hiring data across the entire organization. From there, we test Claude Cowork live — Anthropic’s new interface designed to make building accessible to non-technical users — and compare it to running Claude Code directly in the terminal. We discuss where Cowork shines, where terminal-based workflows still win, and why managing multiple AI agents is becoming a core skill. We wrap with AI news, including Anthropic’s massive funding round, pricing changes, and why enterprise-focused AI tooling is pulling spend away from other platforms. No hype. New episodes every Friday. ================================================================================ TIMESTAMPS (0:00) Why internal AI tools matter more than external products ================================================================================ LINKS SECTION Built This Week Jordan Metzner Sam Nadler Built This Week | |||
| Why You Can't Pen Test an Airplane — AI Cybersecurity for Aviation | 24 Jan 2026 | 00:20:02 | |
Can you really hack an airplane? And if so, how do you test for it without grounding the fleet for a year? In Episode 28 of Built This Week, Sam Nadler and Jordan Metzner sit down with Eero Salih, CTO of Syberian, to explore how AI is transforming cybersecurity for commercial aviation. We start with a live demo — a flight ops cyber radar Sam built to surface real-time security risks across airline operations. Then Eero breaks down what Syberian actually does: building digital twins of aircraft systems to run risk assessments without ever touching the physical plane. This is critical because traditional penetration testing would ground an aircraft for up to a year for recertification. Syberian's AI-powered approach analyzes over 100 technical documents to map every computer system on board — from avionics to entertainment to crew scheduling — and identify vulnerabilities before they become incidents. We also discuss: Why cyber attacks on aviation are now classified as safety threats New 2026 regulations forcing airlines to comply with stricter cybersecurity standards How small teams are replacing developers with AI agent managers The tools Syberian uses: Claude Code, Windsurf, Anthropic, and Gemini Why Google and Anthropic are rejecting ads while OpenAI explores them An ex-Amazon exec who vibe-coded a full CRM replacement in 72 hours No hype. New episodes every Friday. ================================================================================ TIMESTAMPS ================================================================================ LINKS SECTION Jordan Metzner Sam Nadler | |||
| We Let AI Control Our Data Warehouse — The Results Were SHOCKING | 16 Jan 2026 | 00:25:01 | |
Can AI actually reduce cloud costs — or does it just create better dashboards? In Episode 27 of Built This Week, Sam Nadler and Jordan Metzner are joined by Ben, CEO of Espresso AI, to break down a real production system that uses machine learning to actively optimize data warehouse compute in real time. We walk through a live demo built specifically to expose hidden inefficiencies inside Snowflake and Databricks environments — from over-refreshing dashboards to duplicated queries and underutilized clusters. Then we go deep on how Espresso AI works under the hood: proxy-based routing, workload-aware ML models, and fine-grained compute orchestration that runs without changing application code. This is not FinOps theater. This is AI actively rewriting how compute is allocated.
No hype. New episodes every Friday.
(0:00) Why modern AI understands code differently Links Section Built This Week Jordan Metzner Sam Nadler Espresso AI | |||
| We Built an AI Trading Bot for Prediction Markets — Here’s What Actually Happened | 09 Jan 2026 | 00:29:45 | |
Can AI actually beat prediction markets — or does the house always win? In Episode 26 of Built This Week, Sam Nadler and Jordan Metzner kick off 2026 by breaking down a real AI trading bot Jordan built for prediction markets like Kalshi, using live market data, whale detection, coordination signals, and confidence scoring. Jordan walks through the full system — backend, frontend, live alerts, and execution logic — and shares the honest results: a 66 percent win rate that still lost money once fees and market dynamics were factored in. The takeaway is not hype. It is reality. The episode also dives into:
We also cover:
This is not theory.
(0:00) Why prediction markets are exploding
Built This Week Jordan Metzner Sam Nadler | |||
| Car Dealers Are Losing Inventory — AI Is the Only Fix | 19 Dec 2025 | 00:27:50 | |
Car dealerships are losing inventory — and most don’t realize why. Consumers now expect instant pricing, zero friction, and immediate engagement, yet most dealers still rely on slow callbacks, manual workflows, and outdated acquisition models. The result? Cars go straight to Carvana or CarMax. In this episode of Built This Week, Sam Nadler and Jordan Metzner sit down with Anthony Monteiro, CEO & Founder of Auto Acquire AI, to break down how AI is fundamentally changing how dealerships acquire vehicles directly from consumers. Auto Acquire AI gives everyday car dealers — small, medium, and large — the same capabilities as Carvana: instant offers, automated inspections, AI-driven pricing, and real-time engagement, without massive engineering teams or bloated operations. Jordan also walks through a live AI workflow he built for Auto Acquire, showing how dealerships can automatically analyze inbound intent, score leads, and trigger the right action — SMS, email, or phone — without tying up staff. This is not theory. This is AI running real dealership operations today.
• Why dealers can’t compete at auctions anymore We also dive into autonomous vehicle news, including:
(0:00) Why car dealers are losing inventory 🔗 Links
Jordan Metzner Sam Nadler | |||
| This AI Fills Healthcare Shifts in Minutes | 12 Dec 2025 | 00:40:07 | |
Home healthcare is breaking. Staffing shortages, last-minute cancellations, credential checks, compliance requirements, and manual scheduling are overwhelming care teams and putting patient outcomes at risk. In this episode of Built This Week, Sam Nadler and Jordan Metzner sit down with Arya Health leadership to see how AI is already replacing hours of manual healthcare operations with real production systems. Arya Health uses AI to instantly match patients with the right caregivers based on credentials, availability, location, eligibility scoring, and compliance rules all while remaining fully HIPAA compliant. In the episode, we walk through: This is not a demo. (0:00) This AI fills healthcare shifts in minutes
Arya Health Built This Week 👤 HOSTS Jordan Metzner Sam Nadler | |||
| OpenAI Code Red? The New AI Reviewer Changing Everything | 05 Dec 2025 | 00:33:29 | |
(Sam Nadler and Jordan Metzner are back — and this week they’re joined by Amar Goel, CEO of BITO, the AI-powered code review agent transforming how engineering teams ship software. Jordan kicks things off by unveiling a surprise build: a fully custom BITO Slack Bot that can run PR reviews, generate stats, crack developer jokes, write haikus, and even drop into Biddo Disco Mode. Amar reacts live and pulls back the curtain on how BITO’s deep codebase analysis works — revealing how enterprise teams are merging PRs 10× faster, reducing revert rates, and catching issues that “vibe coding” tools simply miss. From multi-million-line monorepos to legacy systems held together by duct tape, BITO’s agents are surfacing performance bugs, security vulnerabilities, logic issues, and cross-service breakages before humans ever see them. Amar explains why code review is just the start — and why BITO’s deep code intelligence unlocks a new era of AI developer tooling. Then the trio shifts into the biggest AI news stories of the week: It’s a lively, candid, highly technical conversation with one of the sharpest minds in AI dev tooling. (0:00) Jordan demos the BITO Slack Bot — PR reviews, jokes, haikus, & disco 🔗 Platforms / Tools Mentioned • BITO – https://bito.ai • Google AI Studio 🎧 Listen on Your Favorite Platform 👤 Follow the Hosts | |||
| Let's do the Math! | 21 Nov 2025 | 00:26:08 | |
Episode 22: Let's do the Math! Sam Nadler and Jordan Metzner return with one of the most mind-bending episodes yet. Joined by Carina, founder & CEO of Axiom Math, the startup is building a self-improving, formal-reasoning AI mathematician. The trio breaks down why math is the next AI frontier, how Lean formalization works, and why proving theorems is a completely different challenge than solving them. Jordan also unveils his newest build: the LLM Math Roaster, a tool that scores, compares, and even roasts large models on proofs, with a full leaderboard, custom problem submissions, and an API for automated evaluation. (Yes, it even benchmarked Gemini, GPT-5, Claude, and Grok head-to-head.) In AI News, the hosts unpack Google’s massive Gemini 3 launch, Jeff Bezos stepping into the arena with Project Prometheus, and Suno’s $250M raise at a $2.45B valuation, plus what hyper-powerful AI means for creativity, coding, and even music composition. It’s fast builds, deep math, big models, and a guest who’s literally building the future of reasoning. — Platforms / Tools Mentioned: — — Sam Nadler | |||
| Not your STANDARD Market | 14 Nov 2025 | 00:31:24 | |
Built This Week – Episode #21
Angie then pulls back the curtain on Standard AI’s computer-vision platform, describing how their “Google Analytics for physical stores” is unlocking brand-new metrics like visual engagement, real-time shopper behavior, and rapid in-store experimentation. Later, the trio covers major AI news, including Gamma’s massive Series B, SoftBank’s pivot from Nvidia to OpenAI, and 11 Labs’ newly launched marketplace where brands can license iconic voices (yes, even Babe Ruth and Maya Angelou). Store-scanning AI, predictive retail analytics, dynamic music engines, and a surprisingly heated debate about Michael Bublé, Episode 21 brings energy, innovation, and a fascinating look at how AI is reinventing brick-and-mortar retail from the ground up. Show Notes: (0:00) AI-generated retail music demo + how the “store DJ” works — Platforms / Tools Mentioned: • Standard AI – https://standard.ai — Sam Nadler | |||
| Compliance, Pomelli, and the Rise of the Robots | 07 Nov 2025 | 00:26:14 | |
Built This Week – Episode #20
Show Notes:
— — Sam Nadler | |||
| Mirror, Mirror on the Wall… Who Built the Smartest AI of All? | 31 Oct 2025 | 00:23:07 | |
Episode 19: Mirror, Mirror on the Wall… Who Built the Smartest AI of All? It’s a spooky special! Sam Nadler (a.k.a. Bad Bunny) and Jordan Metzner (the resident vampire) celebrate Halloween with a pair of AI-powered builds that bring equal parts fun and fright. First, they unveil Mirror, Mirror on the Wall, a poetic, Gemini-powered “talking mirror” built in Google’s new AI Studio. Then, they conjure up a “Trick-or-Treat Route Optimizer,” a playful demo that uses Maps and AI to find the best candy streets in your city. — Show Notes: — Platforms / Tools Mentioned: — — Sam Nadler | |||
| TrickOrTreat! | 24 Oct 2025 | 00:30:29 | |
Episode 18: TrickOrTreat! Sam Nadler and Jordan Metzner get into the Halloween spirit with a playful AI build — TrickOrTreat, an interactive web app that lets users snap a photo and instantly generate custom AI costumes and “Happy Halloween” videos. Built in Replit using NanoBanana and Video 3.1, it’s a perfect mix of fun, speed, and creativity. The hosts discuss how quick AI builds can boost team culture, inspire side projects, and push generative video forward. Then they spotlight Publer, the social media syndication tool that keeps their content engine running across platforms, and how it helps teams automate posts without losing authenticity. In the AI News Rundown, they react to Kohler’s new “smart toilet camera” (yes, really), break down OpenAI’s ChatGPT Atlas browser launch, and explore Google’s new AI Studio app builder - three stories showing how fast (and weird) the AI world is moving. — (0:00) Intro —
— • Spotify Follow the Hosts Jordan Metzner Sam Nadler | |||
| Sora API, AI Automations, and Apple’s M5 Chip | 17 Oct 2025 | 00:29:17 | |
Episode 18: TrickorTreat!
— Show Notes (0:00) Intro — Platforms / Tools Mentioned
— — Sam Nadler | |||
| AI Agents Reinvent Construction | 10 Oct 2025 | 00:27:56 | |
Episode 16: AI Agents Reinvent Construction
— (0:00) Intro – welcome + guest intro: Tristan Wilson, CEO of Edgevanta
(2:45) How Edgevanta helps estimators bid faster and smarter (5:30) Breaking down the role of estimators + pain points in civil construction (8:00) How AI agents parse 1,200-page bid packages in minutes (11:00) Real-world impact: saving hours, reducing bid errors, and recovering millions (13:45) Using AI to improve “go/no-go” decisions in construction projects (16:15) How estimators are reacting to AI, from fear to full adoption
(22:30) AI News #2: OpenAI’s $1 trillion infrastructure plan and what it means for the future (26:30) Closing thoughts – AI’s early days in construction + industry-wide acceleration —
— — Jordan Metzner Sam Nadler | |||
| Sora 2 Took Over AI Video + Our New Parking Data Tool | 03 Oct 2025 | 00:27:02 | |
Episode 15: Sora 2 Took Over AI Video + Our New Parking Data Tool This week on Built This Week, Jordan Metzner and Sam Nadler debut Tix LAX, a new platform that visualizes parking tickets across Los Angeles using city APIs, from officer leaderboards to the surprising car colors that rarely get ticketed. Then, they dive into Sora 2, OpenAI’s latest video model that lets you insert yourself directly into AI-generated clips, whether skydiving, cooking sushi, or working on an oil rig. In the AI news rundown: OpenAI reaches a staggering $500 billion valuation, Apple shifts focus from Vision Pro to AI glasses, and a new startup builds AI-powered defense technology to shoot down drones. — (0:00) Intro – welcome + topics for this week
(2:40) Inspiration from San Francisco’s viral parking ticket tracker (4:00) Officer leaderboards + biggest ticket writers (5:15) Ticket patterns by car color, violation type & neighborhood
(10:18) Tool of the Week: Sora 2 – OpenAI’s new video model + live demo (19:32) AI News #1: OpenAI reaches $500B valuation (21:54) AI News #2: Apple pivots from Vision Pro to AI glasses (24:07) AI News #3: Startup building AI-powered defense robots to shoot down drones (25:41) Closing thoughts – AI momentum driving markets into fall —
— — Jordan Metzner Sam Nadler | |||
| Inside the $1.4 Trillion Solopreneur Market + the Tools We Built (ft. Hooman, Collective CEO) | 26 Sep 2025 | 00:38:38 | |
This week on Built This Week, we team up with Hooman (CEO, Collective) to build—and ship—new tools for solopreneurs. Jordan demos a cash-flow forecaster, insurance compliance checks, lending readiness, and AI business insights…plus a just-for-fun “Make It Rain” mode and mini-game. Then we go deep on Collective’s roadmap and the future of the one-person business. What we built Guest spotlight — the solopreneur wave Tech stack Chapters (tap to jump) Tools & links mentioned About us #BuiltThisWeek #Solopreneur #AI #Startups #Collective #CashFlow #FounderTools #SmallBusiness #Fintech Listen on Your Favorite Platform: Follow the Hosts: Jordan Metzner | |||
| AI Built My Liver + We 3D Printed Our Podcast (Reddit x Google, Lyft x Waymo News) | 19 Sep 2025 | 00:20:08 | |
This week on Built This Week, we go full builder mode. Jordan uses Claude to create a live 3D simulation of a liver, showing exactly how statins like Crestor crush cholesterol inside your body. Then Sam takes the mic — and the printer — and 3D prints Built This Week keychains, proving you can literally print your podcast at home. Finally, we break down the biggest AI + tech headlines:
If you want AI, hardware, and startup news with founder energy — this is the episode. Timestamps below 👇 ⏱️ Timestamps (0:00) Intro + what’s coming this week 🛠️ Platforms / Tools Mentioned
Listen on Your Favorite Platform: Follow the Hosts: Jordan Metzner Sam Nadler | |||
| Recipes from Receipts: AI Cooking, Kidpreneur E-Com & Replit’s $250M Raise | 12 Sep 2025 | 00:19:16 | |
This week on Built This Week, Jordan Metzner and Sam Nadler bring a mix of practical, playful, and breaking AI news. First, Jordan demos Ryz Chef, a tool that turns your grocery receipts (Amazon, Instacart, even fridge photos) into 11 Mediterranean-inspired recipes — complete with breakfast, lunch, dinner, and dessert options. Then Sam shares how he and his daughter are using AI-generated imagery to launch a small e-commerce project selling 3D-printed hoodie charms, combining entrepreneurship, creativity, and social good. Finally, the hosts break down the biggest AI news: Replit’s $250M raise at a $3B valuation, Oracle’s AI-fueled surge, Vimeo’s acquisition, and Robinhood’s new “social trading” product. Timestamps
Platforms / Tools Mentioned
Listen on Your Favorite Platform
Follow the Hosts | |||
| Coding the Beat: Strudel, Claude Dashboards & OpenAI’s $1B Play | 05 Sep 2025 | 00:23:57 | |
Episode 11: Coding the Beat: Strudel, Claude Dashboards & OpenAI’s $1B Play This week on Built This Week, Jordan Metzner and Sam Nadler dive into the intersection of AI, music, and enterprise tools. Jordan shows off a new project built on Strudel, a live-coding JavaScript music library, turning it into an AI-powered DJ + Ableton-style mixer that generates new beats on the fly. Then, the hosts spotlight a daily use case of Claude that creates instant CFO-style dashboards from raw spreadsheets or PDFs, beating out other LLMs for speed and clarity. Finally, they break down OpenAI’s $1.1B acquisition of StatSig, what it means for Codex and the AI coding race, plus big moves in Figma’s IPO, Google’s antitrust settlement, and the rise of enterprise-focused AI like You.com. Show Notes: Platforms / Tools Mentioned: Listen on Your Favorite Platform: Follow the Hosts: Jordan Metzner | |||
| Future in Focus: AI Tools & Big Tech | 29 Aug 2025 | 00:24:04 | |
Episode 10: Future in Focus: AI Tools & Big Tech
— (0:00) Intro + demo of new in-house AI image editing prototype
(9:10) Google Gemini’s “bananas” model upgrade explained (10:49) Anthropic brings Claude agents directly into Chrome
(15:17) Tool of the Week: Gamma AI presentation builder
(19:22) Why Gamma beats Google Slides/PowerPoint at AI integration (for now)
— — — Jordan Metzner Sam Nadler | |||
| Hiring Tools, Built from Scratch | 22 Aug 2025 | 00:22:23 | |
Episode 9: Hiring Tools, Built from Scratch This week, Jordan Metzner and Sam Nadler unveil Ryz ATS, a fully functioning applicant tracking system built in-house using Claude AI. From job templates and smart matching to drag-and-drop pipelines and sourcing CRM, this tool streamlines the entire hiring process with AI as a co-pilot. Then, they explore Envato’s new AI image generation features, built for non-designers and creators alike. In the AI news rundown: xAI leaks Grok chats into Google search results, Meta re-orgs its AI division under Scale AI’s founder, and OpenAI brings back the ChatGPT model picker, confusing UX and all.
(2:10) Building an ATS from scratch with Claude Code (3:15) Prototypes & using multiple AI agents in parallel (5:12) Walkthrough: jobs page, candidate pipelines, offers & feedback forms (13:43) Choosing the right prototyping tool: Bolt vs Claude Code vs Replit (14:05) Tool of the week: Envato AI for stock content & image generation (15:17) Testing Envato’s AI-generated podcast ads (and why text fails) (18:22) Why stock libraries like Envato still matter (19:01) AI News: Meta’s AI re-org & Scale AI acquisition fallout (20:37) Cultural tensions inside Meta around AI talent pay (21:06) AI Grok leaks chats into Google search results (22:07) Wrap-up & subscribe call-to-action — — — Jordan Metzner Sam Nadler | |||
| Can Public Make You a Better Investor? | 15 Aug 2025 | 00:32:14 | |
This week, Jordan Metzner and Sam Nadler go deep on Public.com, the modern investing platform opening its trading infrastructure to developers. They demo a new tool built live on Public’s API, explore the real potential of programmable investing, and sit down with Emily Kurtz (Head of Product at Public) and Jake Trefethen (Director of AI) to unpack what’s coming next. Plus, in the news: Shopify now wants PMs who code, GPT-5 Pro hints at research-grade intelligence, and OpenAI’s model picker is back, and messier than ever. — — — — Jordan Metzner
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| How Daily Check-Ins Fix Remote Work | 08 Aug 2025 | 00:23:29 | |
Jordan Metzner and Sam Nadler share a simple but powerful internal tool: a Slack-integrated daily check-in system that’s helped their remote team stay accountable, async, and aligned. It’s lightweight, fast, and has changed how their team shares progress. Then they revisit Clay, a thoughtfully designed relationship management tool that helps founders and operators stay in touch without the CRM bloat. In the news, they break down the latest on GPT-5 Pro, OpenAI’s rumored “research-grade” AI, and what the new product tiers might mean for the future of AI.
Show Notes: (1:21) Why we built a daily check-in tool for remote teams (3:22) How the system works + Slack + AI summaries (6:44) What it’s built with and what it unlocked for us (9:15) What teammates actually do + future features (10:30) Real example: AI blocker spotted and solved (11:17) Tool of the Week: Clay for personalized outreach (16:04) AI News: OpenAI’s new open-source models + Groq demo (21:14) GPT-5 leaks and what’s coming next (22:34) Final thoughts + wrap-up — — — Jordan Metzner
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| From Avatar to AI Hire: Building NTRVSTA | 01 Aug 2025 | 00:25:46 | |
Episode 6: From Avatar to AI Hire: Building NTRVSTA Jordan Metzner and Sam Nadler dive into NTRVSTA, a new AI-powered interview automation platform Jordan built to help teams move faster and smarter in the hiring process. The tool uses avatars to conduct adaptive, friendly interviews 24/7 across technical and non-technical roles. They break down how it works, why it saves time, and what they’ve learned from early users. Plus, in the news: Microsoft hits a $4 trillion valuation, Figma’s IPO surges over 250%. —
(1:17) Why we built NTRVSTA — solving interview inefficiency (2:51) How AI avatars help scale top-of-funnel interviews (9:22) Product demo: scoring, transcripts, highlights, and whiteboard (16:36) How it was built: avatars, scoring, and translation tech (20:05) News: Microsoft hits $4 trillion valuation (22:03) News: Figma IPO surges over 250% (24:34) Wrap-up and final thoughts — — —
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