Podcast
Built This Week
Hosted by Jordan Metzner, Samuel Nadler · EN
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.
19episodes
Episodes
Newest firstAll episodes
Your Pipeline Is Lying to You. This AI Fixes It After Every Sales Call
1w ago00:26:09Tap to summarizeThis 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 aheadIf 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.comLinkedIn: linkedin.com/in/anis-bennaceurTwitter: x.com/anisbennaceur1Company LinkedIn: linkedin.com/company/attentiontechCompany Twitter: x.com/tryattentionTIMESTAMPS[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 upNew episodes every Friday at BuiltThisWeek.com#AI #Sales #CRM #BuildWithAI #Anthropic #AIAgents #RevOps #BuiltThisWeek #Attention
Transcribe →This AI Platform Lets Anyone in Your Company Manage Operations Without a Single Engineer
2w ago00:23:45Tap to summarizeThis 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.
Transcribe →The AI Product Team Replacement? Inside Autonomy AI’s Live Demo
3w ago00:25:06Tap to summarizeThis 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 searchIf you are building with AI, managing product teams, or trying to understand how software development workflows are changing, this episode is for you.
Transcribe →The Voice AI Platform Built for Enterprises That Actually Need to Scale
4w ago00:23:26Tap to summarizeThis 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:What Breeze is and how it differs from other voice AI platformsA live demo of the platform built from a blank screenWhy multi-agent architecture matters for enterprise complianceHow to prevent voice agents from being jailbrokenThe latency and model selection decisions that make or break productionThe operational layer of voice AI that everyone is ignoringPhone groups, smart routing, and running 10,000 calls a dayWho is actually buying enterprise voice AI and whyBreeze's partnership model and expansion into MENA and South AmericaAnthropic raising at a $900 billion valuation and what it meansWhether AI is replacing junior developers and what comes nextIf 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.aiLinkedIn: linkedin.com/in/kmalhasTwitter: 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 upNew episodes every Friday at BuiltThisWeek.com#VoiceAI #AIAgents #Enterprise #Anthropic #BuildWithAI #BuiltThisWeek #AIStartup #heybreez
Transcribe →This Headset Reads Your Brain in Real Time. We Demo It Live.
May 800:21:17Tap to summarizeThis 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:What a brain computer interface actually is and how it worksA live demo of focus tracking during the episodeA browser plugin that adjusts podcast speed based on your brain activityHow the technology detects brain fatigue before you feel itGaming, medical, and sports applicationsHow AI finally unlocked BCI for consumer devices after 40 years in labsThe science behind ice baths affecting men and women differentlyWhy kids are bypassing age verification AI with a fake mustacheWhy AI security cameras are still failing at basic common senseThe edge compute problem nobody in consumer hardware wants to talk aboutWhy your brain signature might be the future of identity verificationIf 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 upNew episodes every Friday at BuiltThisWeek.com#BCI #AITools #Neuroscience #BuiltThisWeek #BrainComputerInterface #AI #Wearables #EdgeAI
Transcribe →Claude Design Changes Everything (Figma in Trouble?)
Apr 2400:20:51Tap to summarizeThis week on Built This Week, we break down one of the most interesting new AI product launches in recent memory: Claude Design.No demos. No fluff. Just what happens when AI starts replacing traditional design workflows.We cover: • What Claude Design is and how it works • Creating ad campaigns, decks, and full product redesigns with simple prompts • Why it could become a serious competitor to tools like Figma • How teams are exporting AI designs directly into production code • The rumored xAI / Cursor deal and what it means for the coding race • ChatGPT Images 2.0 and whether it lives up to the hype • Why Google might be quieter now—but still dangerous long termIf you're building with AI, working in design, or trying to understand where creative tools are heading next, this episode is for you.⏱ TIMESTAMPS[00:00] Intro [00:45] Claude Design overview [01:50] First impressions after using Claude Design [03:00] How the interface works [04:20] Building decks, ads, and redesigns with prompts [06:10] Creating ad campaigns for Hip Train [07:45] Exporting projects, sharing, and production handoff [10:15] Full internal app redesign with AI [12:45] Is Claude Design a Figma killer? [13:00] xAI / Cursor acquisition rumors [16:15] ChatGPT Images 2.0 reactions [18:30] Why AI is still in the early innings [21:40] Google’s new TPUs and staying in the race [22:40] Wrap up & what’s next for Built This WeekLinksBuiltThisWeek.comNew episodes every FridayJordan Metznerhttps://x.com/mrjmetzSam Nadlerhttps://x.com/Gravino05
Transcribe →This AI Tool Turns Meetings Into Jira Tickets Instantly
Apr 1700:19:32Tap to summarizeThis 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: • The AI tool that automates meeting follow-up work • How transcripts become tickets, reports, and dashboards • Why internal AI products are becoming a huge advantage • How companies can train non-technical teams to build • What happens when everyone can create software • Why the next wave of AI is about empowermentIf you're serious about using AI to improve your business, this episode is for you.⏱ TIMESTAMPS(00:00) Intro (00:32) Welcome back (00:40) Guest introduction (01:28) Inside the Radar tool (02:36) Solving workflow bottlenecks with AI (03:23) Instant task generation from meetings (04:45) Smarter project visibility with dashboards (05:56) Real productivity gains (07:00) From personal tool to company product (08:08) Future roadmap (09:24) AI-generated business reviews (10:19) Building an AI-first culture (11:30) Teaching non-technical teams (12:49) Real examples across departments (13:57) Why this changes work forever (15:06) News segment (17:44) Closing thoughts🎙 HOST INFOHosted by Jordan Metzner and Sam Nadler Co-founders of Ryz LabsWe build AI-native companies and tools used by startups, enterprises, and investors.🔗 CTA + LINKSSubscribe for weekly breakdowns of real AI builds and what actually matters New episodes every FridayFollow along: YouTube: Built This Week Spotify: Built This Week Apple: Built This Week
Transcribe →We Built an AI Tool That Replaced a Week of Work
Apr 1000:23:00Tap to summarizeThis 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: • The internal tool that replaced complex spreadsheets and cut turnaround time in half • How we generate client-ready presentations instantly with AI • Why tool selection matters more than ever in the agentic era • Google AI Studio and how we use it to prototype fast • Anthropic’s unreleased model and what it means for AI safety • Meta’s latest push into AI and why competition is heating upIf you're building with AI or thinking about how to apply it inside your company, this episode is for you.⏱ TIMESTAMPS00:00 Intro 00:40 What we’re covering this week 01:30 The problem with planning large offsites 02:28 How you lose money without perfect cost visibility 03:23 The AI tool we built (Offsite estimator) 04:29 Hidden costs AI catches that humans miss 05:36 From spreadsheets to automated workflows 06:04 Instant client presentations with AI 07:19 Cutting turnaround time from 10 days to 3 08:09 Tech stack behind the tool (Codex, Supabase, React, AWS) 08:58 Real customer impact and results 10:05 What we’re building next (automation + client portal)10:40 Google AI Studio deep dive 11:14 How we actually use it for prototyping 12:55 Image, music, and video generation tools 14:48 When to use which AI tool15:33 The real framework for choosing AI tools 16:45 Anthropic’s unreleased model 17:54 Why it might be a security risk 18:32 Who should control powerful AI19:45 Meta’s new AI push 21:10 Why competition is accelerating22:30 Wrap up🎙 HOST INFOHosted by Jordan Metzner and Sam NadlerCo-founders of Ryz LabsWe build AI-native companies and tools used by startups, enterprises, and investors.
Transcribe →Why AI Inference Is So Expensive (And How Positron Is Solving It)
Apr 300:29:03Tap to summarizeTraining 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 • The memory wall problem in large models • Why GPUs weren’t designed for text generation • How Positron is building terabyte-plus memory chips • The economics of 10 trillion parameter models • Why memory bandwidth utilization matters • Why CPUs are suddenly back in demand • The difference between speed-optimized and cost-optimized AI systems • The slider bar future of AI infrastructureWe also dive into:• OpenAI’s $122B valuation • Anthropic vs OpenAI secondary market dynamics • Why Nvidia isn’t going anywhere • Why commodity memory might beat premium stacks in certain use cases • The rise of agentic workflows and what that means for computeIf 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 (2:00) What Positron AI is building (4:30) The memory problem in trillion-parameter models (6:30) Why GPUs struggle with inference economics (9:00) Energy, bandwidth, and supply chain constraints (12:00) Memory capacity vs memory speed tradeoffs (16:00) The “slider bar” model of AI infrastructure (18:30) OpenAI’s $122B valuation discussion (21:00) Anthropic vs OpenAI secondary markets (23:30) CPUs making a comeback (26:00) Agentic workflows and compute demand explosion (28:00) Closing thoughts on AI infrastructure
Transcribe →How We Built an AI Video Editor for Recruiters (Remotion + Claude + Codex)
Mar 2200:18:45Tap to summarizeOur 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. But seeing a candidate speak for 60 seconds changes everything.The issue was speed. Editing sizzle reels required our video team, added delays, and was not scalable.So we built a highlight reel generator powered by:• EntreVista AI interview transcripts • Claude and Codex for clip selection • Remotion for video rendering via code • AWS S3 for instant share linksThe system automatically: • Analyzes transcripts • Identifies high signal clips • Groups them by communication, role fit, and personality • Allows light manual adjustments • Renders a branded video in 5 to 10 minutesNo 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: • Token spend management • Surprise AI bills • Model access guardrails • Productivity vs cost tradeoffsAI 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 (0:25) Welcome to Episode 36 (1:20) Why highlight reels improve candidate selection (2:30) The scalability issue with manual video editing (3:30) Demo: AI Highlight Reel Builder (4:15) How transcripts power automatic clip selection (5:00) Communication, role fit, personality grouping (6:10) Manual adjustments for recruiters (7:00) Rendering time and infrastructure challenges (8:00) Final sizzle reel output demo (9:00) How it was built with Codex (10:00) What is Remotion (11:30) Video editing as code explained (12:30) Other Remotion use cases: product trailers, documentation videos (13:45) Democratizing creative production (14:30) AI token costs inside organizations (15:15) Surprise AI bills and infrastructure lessons (16:30) Managing model access across teams (17:30) Productivity vs spend tradeoffs (18:15) Closing thoughts🔗 LINKSBuilt This Week New episodes every Friday https://builtthisweek.comJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05
Transcribe →