Built This Week

Jordan Metzner, Samuel Nadler
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Built This Week is a weekly podcast where real builders share what they're shipping, the AI tools they're trying, and the tech news that actually matters. Hosted by Sam and Jordan from Ryz Labs, the show offers a raw, inside look at building products in the AI era—no fluff, no performative hype, just honest takes and practical insights from the front lines.

  1. 10/07

    Physics Simulation for Chip Design Used to Take Days. This AI Does It in Seconds.

    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

  2. 3/07

    A Ten Minute Phone Video Replaces Hours of Home Inspections. We Demo the AI Doing It.

    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: What Yembo does — computer vision that deeply understands the interior of homesHow a ten minute phone video replaces a 60 to 90 minute in-home inspectionThe visual inventory — color coded, numbered, time stamped photos of every itemWhy the real AI opportunity is doing what was previously impossible, not just fasterHow Yembo embedded AI in a workflow where the end user never knows it existsThe insurance use case — 3D model and floor plan from a single video walkthroughWhy 30 percent of their patents are on guiding the camera capture without any trainingClaude Fable 5 pulled and reinstated without coding access — what it means for developersAI reaching regulatory adolescence and whether the framework arrives in time25,000 Chinese accounts exploiting the model and the KYC failure behind it 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

  3. 26/06

    The Code Running Your Plane Was Written Decades Ago. This Startup Proves It Still Works.

    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: What Code Metal does and why provably correct code mattersThe legacy code problem running mission critical infrastructure right nowWhy testing is not enough and what formal methods actually proveHow AI finally made formal verification scalable after 50 yearsThe Tesla over-the-air update analogy for code-to-hardware deploymentWhich industries Code Metal is built for and whyWhy vibe coding works for apps but terrifies Ryan for aerospace and defenseWhat brought Ryan from running Tableau at Salesforce to a code verification startupMeta Ray-Ban glasses — price drop, Kylie Jenner, and the veteran use caseJony Ive at OpenAI and what the mystery hardware device might beWhy every AI interface is converging on the same form factor 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

  4. 19/06

    AI Agents Doing Commercial Real Estate Due Diligence in Minutes. We Demo It Live.

    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: What Realm AI is and how it works for commercial real estate due diligenceA live demo of the self-serve platform — any property in the US in minutesHow dozens of AI agents communicate and delegate to find property dataWhy Realm deliberately refuses to make investment recommendationsThe before and after — printed spreadsheets and button calculators vs AI agentsHow small firms with three analysts are beating 100-analyst firms to dealsWho is actually using Realm AI and what surprised them about the ICPSpaceX IPO — is the valuation frothy or are the finance textbooks just wrong167 launches in 2025, one every 2.2 days, and no real competitionThe Cursor acquisition confirmed and what it means for the SpaceX portfolioHow Tesla, SpaceX, xAI, and Cursor all connect into one bigger visionWhat it actually feels like to watch a SpaceX launch in person 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

  5. 15/06

    We Tested Claude 4 Fable and Deployed Enterprise Agents Without a Single Data Migration

    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: Emmanuel builds a physics puzzle game from memory using Claude in 10 minutesJordan's first 36 hours with Claude 4 Fable — slow, expensive, and world classWhat happens when you type '100x the design' into FableWhy nobody knows how many tokens they are burning and why that needs to changeWhat AI One and Context One actually do for enterpriseThe autonomous ladder — how to deploy agents safely without giving them full controlThe sweet spot for AI agents: high complexity, low judgment workHow a financial firm cut a week-long investigation down to hours using agentsWhy 150,000 brittle rules are being replaced by a single agentMaking custom coloring books for kids with AI every dayJevons paradox — cheaper tokens, more consumption, no ceilingA PM had Claude Code listen to a live engineering meeting and build in real timeSpaceX IPO — the bull case, the wait and see case, and who is right 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

  6. 5/06

    Your Pipeline Is Lying to You. This AI Fixes It After Every Sales Call

    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: What Attention is and how it automates sales operations end to endSam's live Monte Carlo forecast dashboard built on Attention's open source stackHow AI listens to every call and updates your CRM automaticallyWhy filling the CRM is the painkiller every sales team actually needsReal-time coaching scorecards and how reps get scored during the callPipeline forecasting and how AI catches deal risk before you doHow to manage LLM token costs at scale without killing developer productivityWhy Anis personally approves every token budget overrage at AttentionAnthropic filing for an IPO and what it means for the AI raceWhy Uber capping developer token spend is the wrong moveAgents vs deterministic workflows — the honest truth about what actually works in productionWhy the companies letting their teams run free with AI are pulling ahead 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

  7. 29/05

    This AI Platform Lets Anyone in Your Company Manage Operations Without a Single Engineer

    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: What Doss is and why he calls it an Adaptive Resource Platform not an ERPA live demo of the platform including inventory management, procurement, and order managementHow Doss lets companies build their own data model instead of forcing them into the shape of the softwareDOSBOT — an AI agent that can self-introspect the entire system and answer complex operational questionsWhy switching costs in enterprise software are only relevant if you are talking to the wrong customerHow to identify the 5 to 10 percent of the market that actually wants to moveThe ICP — physical product companies doing 20 million to a few hundred million in revenueNews — Robinhood launching AI agents to trade stocks and whether that is innovation or gamblingWhether AI trading bots can actually generate alpha or just raise everyone's tide equallyIf you are building in enterprise software, working in operations, or want to understand where AI is taking business systems, this episode is for you.

  8. 22/05

    The AI Product Team Replacement? Inside Autonomy AI’s Live Demo

    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:What Autonomy AI is buildingHow non-technical teams can work directly with existing codebasesWhy the handoff between product, design, and engineering is still brokenBuilding new product views from a simple promptConnecting AI-generated work to real APIs and pull requestsDesign mode, Figma-style editing, and mobile responsivenessWhy companies are using less Figma and JiraWho is actually buying AI product-building toolsKarpathy joining Anthropic and what it means for the spaceGoogle’s new AI agents and the future of search If you are building with AI, managing product teams, or trying to understand how software development workflows are changing, this episode is for you.

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Built This Week is a weekly podcast where real builders share what they're shipping, the AI tools they're trying, and the tech news that actually matters. Hosted by Sam and Jordan from Ryz Labs, the show offers a raw, inside look at building products in the AI era—no fluff, no performative hype, just honest takes and practical insights from the front lines.

Informação

  • Autoria
    Jordan Metzner, Samuel Nadler
  • Anos em atividade
    2025 - 2026
  • Episódios
    51
  • Classificação
    Para todos
  • Copyright
    © 2025
  • Site do programa
    Built This Week
  • Fornecedor

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