Built This Week

Jordan Metzner, Samuel Nadler
  • 5.0 (4)
  • ENTREPRENEURSHIP

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. 1D AGO

    Why You Can't Pen Test an Airplane — AI Cybersecurity for Aviation

    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.No theory.Just what happens when you put AI in charge of protecting critical infrastructure. New episodes every Friday. ================================================================================ TIMESTAMPS--------------------------------------------------------------------------------(0:00) Why you can't hack-test an airplane(0:45) Episode 28 kickoff and guest introduction(1:30) Live demo: Flight ops cyber radar dashboard(3:00) Analyzing real-time security threats across airline systems(4:30) What Syberian actually does (in plain English)(6:00) Why physical penetration testing grounds planes for a year(7:30) Using AI to build digital twins of aircraft systems(8:15) Hiring managers, not developers — AI agents do the coding(9:30) Tools of the trade: Claude Code, Windsurf, Anthropic, Gemini(10:00) New 2026 aviation cybersecurity regulations explained(11:00) How cyber attacks became classified as safety threats(12:30) The ripple effects: baggage weight, fuel calculations, pilot tablets(13:30) Who are Syberian's customers? Airlines, private jets, and more(14:55) AI News: Google and Anthropic reject ads in chatbots(16:30) Why Anthropic's no-ads stance matters for enterprise customers(17:30) Amazon exec vibe-codes full CRM replacement in 72 hours(18:30) Why vibe coding works for internal tools but not production(19:15) Final thoughts and closing ================================================================================ LINKS SECTION--------------------------------------------------------------------------------Built This WeekNew episodes every Friday Jordan Metznerhttps://x.com/mrjmetz Sam Nadlerhttps://x.com/Gravino05

    20 min

  2. JAN 16

    We Let AI Control Our Data Warehouse — The Results Were SHOCKING

    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. We also discuss: Why most teams overpay for convenience in the cloudHow real-time query routing beats manual cost controlsWhere AI helps engineers — and where it absolutely does notThe limits of vibe coding for serious infrastructureGemini powering Siri and what it means for voice assistantsMeta’s massive GPU buildout and the future of hyperscalersNo hype. No theory. Just what happens when you put AI in control of real infrastructure. New episodes every Friday. Timestamps (0:00) Why modern AI understands code differently (0:45) Episode 27 kickoff and guest introduction (1:30) Live demo: diagnosing hidden warehouse inefficiencies (3:00) Why dashboards refresh far more than they are viewed (4:30) The real cost of duplicated queries across teams (6:00) What Espresso AI actually does (in plain English) (7:45) Kubernetes for data warehouses, powered by ML (9:30) How real-time query routing works (11:30) Why most companies are not “doing it wrong” (13:00) Transformers and deep code understanding (15:00) Where AI helps engineers today (16:30) Why AI cannot yet run core infrastructure autonomously (18:00) Productivity gains without replacing engineers (19:30) Gemini, Siri, and the next generation of voice assistants (21:00) Meta’s massive GPU investments explained (23:00) Will Meta become a hyperscaler (24:30) Final thoughts and closing Links Section Built This Week New episodes every Friday Jordan Metzner https://x.com/mrjmetz Sam Nadler https://x.com/Gravino05 Espresso AI https://espresso.ai

    25 min

  3. JAN 9

    We Built an AI Trading Bot for Prediction Markets — Here’s What Actually Happened

    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: Why prediction markets feel like gambling but are regulated differentlyHow insider-like signals emerge from coordination and volume behaviorWhy bots end up trading against botsWhere real alpha might exist (and where it does not)We also cover: Google NotebookLM as a serious education and onboarding toolTurning documents into infographics, slide decks, and audio learningNvidia entering autonomous driving and competing with TeslaNvidia’s new Rubin architecture and why it mattersTesla vs Waymo economics and the future of Full Self DrivingWhy Anthropic and Claude Code are becoming developer defaultsThis is not theory.This is what happens when you actually deploy AI systems into real markets. Timestamps (0:00) Why prediction markets are exploding (1:07) Episode 26 kickoff (2:00) Why build a trading bot at all (4:30) Kalshi vs Polymarket APIs (6:00) Live market signals and whale detection (9:30) Win rate vs profitability (12:00) Why fees destroy returns (14:30) Bots trading against bots (17:00) Where real alpha might exist (18:00) NotebookLM for learning and onboarding (21:00) Nvidia enters autonomous driving (24:00) Tesla vs Waymo economics (27:00) Nvidia Rubin chips explained (28:30) Anthropic and Claude Code momentum (29:30) Final thoughts Links Built This Week New episodes every Friday Jordan Metzner https://x.com/mrjmetz Sam Nadler https://x.com/Gravino05

    30 min
  4. Car Dealers Are Losing Inventory — AI Is the Only Fix

    12/19/2025

    Car Dealers Are Losing Inventory — AI Is the Only Fix

    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. In this episode, we cover: • Why dealers can’t compete at auctions anymore • How AI enables instant vehicle pricing without human intervention • Turning web forms into real-time SMS conversations • Using intent scoring to decide when to text, email, or call • Why engagement speed determines who wins the trade • How computer vision automates vehicle inspections from a phone • Why structured automotive data is perfect for AI • How dealers already have inventory sitting in customer driveways • Why most “AI companies” aren’t actually using AI • The real difference between demos and production AI systems We also dive into autonomous vehicle news, including: • Waymo’s $15B raise at a $110B valuation • Tesla vs Waymo: cameras vs lidar • Why Tesla may license Full Self-Driving to other manufacturers • The reality behind “Full Self-Driving” marketing claims ⏱️ Timestamps (0:00) Why car dealers are losing inventory (0:38) Welcome to Built This Week (1:07) Introducing Auto Acquire AI (1:42) How Auto Acquire works (2:24) AI workflow demo: intent → action (3:11) Automated SMS conversations (4:55) Why AI removes staff bottlenecks (6:29) Dealership behavior by geography (7:38) Why instant pricing wins (10:34) AI-powered vehicle inspections (12:03) The real pain point in dealer inventory (13:31) Why dealers already own the data (14:46) What “real AI” actually means (17:00) Structured data and real-time pricing (18:05) Waymo raises $15B (19:03) Tesla vs Waymo economics (21:44) Will Tesla license FSD? (24:29) Is “Full Self-Driving” misleading? (27:09) Final thoughts and wrap-up 🔗 Links Auto Acquire AI https://autoacquire.ai Built This Week New episodes every Friday 🎙️ Hosts Jordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetz Sam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

    28 min
  5. This AI Fills Healthcare Shifts in Minutes

    12/12/2025

    This AI Fills Healthcare Shifts in Minutes

    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: • How AI turns messy hospital discharge summaries into actionable start of care workflows • How caregivers are matched and notified automatically • Why Arya reframed “shifts” as patients and how that changed everything • How AI fills urgent care gaps in minutes instead of hours • The real security architecture behind HIPAA compliant AI • Why Arya forbids long term AI memory by design • How multi cloud AI works across AWS and Google safely • What happens when AI costs suddenly spike in production • Why scheduling healthcare looks like the traveling salesman problem with time windows This is not a demo. This is what AI looks like in production healthcare today. (0:00) This AI fills healthcare shifts in minutes  (0:38) Welcome to Built This Week  (1:07) Introducing Arya Health leadership  (1:42) What Arya Health actually does  (2:37) AI generated start of care workflows  (3:28) Turning discharge notes into care plans  (4:21) Matching patients with caregivers  (5:12) Automated outreach and workflow actions  (6:02) Leadership reacts to the AI workflow  (7:15) How non experts prototype healthcare AI  (8:50) Why demos and real healthcare are different  (9:19) HIPAA compliance and security realities  (10:19) Multi cloud AI architecture explained  (11:15) Using AWS Bedrock and Google Vertex AI  (12:06) Why only approved cloud models are allowed  (13:30) Secure AWS and GCP data isolation  (14:26) When AI costs unexpectedly spike  (15:12) Single shot prompting in production  (17:21) Why Arya blocks long term AI memory  (18:01) Controlling AI with typed inputs  (20:01) Real world impact and metrics  (20:26) Replacing hours of manual scheduling  (21:51) Filling urgent shifts instantly  (22:45) Improving care quality through consistency  (23:22) Reframing shifts as patients  (24:05) Building care teams not schedules  (24:32) Eligibility scoring and heuristics  (25:52) Ranking caregivers by fit  (26:13) Optimizing routes and schedules  (27:34) Industry news discussion  (39:36) Final thoughts and wrap up   🔗 LINKS Arya Health https://www.aryahealth.ai/ Built This Week New episodes every Friday 👤 HOSTS Jordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetz Sam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

    40 min

  6. 12/05/2025

    OpenAI Code Red? The New AI Reviewer Changing Everything

    (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:• OpenAI’s internal CODE RED and the escalating model war• Google Gemini’s rise and the threat of distribution• Amazon’s new AI chips and the GPU economics debate• The global AI arms race — from TPUs to supply chains to trillion-dollar CapEx bets 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(1:02) Welcome + introducing guest Amar Goel, CEO of BITO(1:35) Amar’s background + BITO’s mission to build deep codebase AI agents(2:15) Why Jordan built the Slack integration prototype(3:04) What BITO can do today: reviews, tests, explanations, stats & more(4:18) The PR demo: catching security + maintainability vulnerabilities(5:22) Humor in devtools — BITO Fun, BITO Surprise, & developer haikus(6:44) Amar reacts: how customers want notifications & Slack workflows(7:35) Why existing tools fail on large, messy, real-world codebases(8:52) Deep code understanding explained — ASTs, symbol indexes, repo mapping(10:26) Why “vibe coding” breaks down in enterprise environments(11:31) How BITO integrates into Cursor, Windsurf, Claude Code, JetBrains & VS Code(12:10) The explosion of code volume — and why quality gates now matter(13:00) PRs merging 10× faster with BITO + 55% fewer reverted commits(14:05) Training junior devs through AI feedback + customizable sensitivity modes(15:20) What’s next for BITO (without giving away secrets)(16:12) NEWS #1 — OpenAI declares CODE RED(17:01) Google’s Gemini advantage: distribution, docs, slides & ad model economics(18:33) The coming AI model war — NVIDIA, xAI, Anthropic, Google(19:48) NEWS #2 — Amazon’s new AI chips & the GPU supply chain crunch(21:10) NEWS #3 — Global CapEx, GPU shortages & trillion-dollar questions(22:42) Final thoughts + Amar’s closing remarks(23:30) Wrap-up & teaser for next week’s episode 🔗 Platforms / Tools Mentioned • BITO – https://bito.ai • Google AI Studio• GitHub, GitLab, Bitbucket• VS Code, JetBrains, Cursor, Windsurf• OpenAI, Gemini, xAI• AWS Tranium 3• NVIDIA, AMD, TPUs• Ryz Labs – https://www.ryzlabs.com 🎧 Listen on Your Favorite Platform• Spotify – https://open.spotify.com/show/0ahiOCz...• Apple Podcasts – https://podcasts.apple.com/us/podcast...• Amazon Music – https://music.amazon.com/podcasts/101...• Deezer – https://www.deezer.com/us/show/100199... 👤 Follow the Hosts Jordan Metzner• LinkedIn –

    33 min
  7. Let's do the Math!

    11/21/2025

    Let's do the Math!

    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. — Show Notes: (0:00) Intro + welcoming our guest Carina (1:00) What Axiom Math is building (3:00) Jordan’s LM Math Roaster: how it works (5:00) Testing models on proofs (Gemini, GPT-5, Claude, Grok) (7:00) Why formal proofs beat natural-language reasoning (9:00) The data bottleneck: Lean scarcity & synthetic generation (12:00) How formal systems unlock “research-level” AI math (15:00) Comparing LLM math vs. Axiom’s approach (18:00) AI News: Gemini 3 hits the market (20:00) Jeff Bezos returns with Project Prometheus (22:00) Suno raises $250M — AI-generated music explodes (24:00) How math, code & creativity overlap (25:30) Episode wrap-up + what’s coming next— Platforms / Tools Mentioned: • Axiom Math – https://www.axiom.ai • Gemini 3 – https://ai.google.dev • Lean / mathlib – https://lean-lang.org • Grok / xAI – https://x.ai • GPT-5.x – https://openai.com • Claude – https://www.anthropic.com — Listen on Your Favorite Platform: • Spotify – https://open.spotify.com/show/0ahiOCzYxhhkEgbtz9kkeC • Apple Podcasts – https://podcasts.apple.com/us/podcast/built-this-week/id1823270832 • Amazon Music – https://music.amazon.com/podcasts/1017d387-fbb0-4bbf-9488-817cee38e058 • Deezer – https://www.deezer.com/us/show/1001995001 — Follow the Hosts: Jordan Metzner • LinkedIn – https://www.linkedin.com/in/jordanmetzner/ • Instagram – https://www.instagram.com/mrjmetz/ • X – https://x.com/mrjmetz?lang=bn Sam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

    26 min
  8. Not your STANDARD Market

    11/14/2025

    Not your STANDARD Market

    Built This Week – Episode #21 Not your STANDARD Market Sam Nadler and Jordan Metzner are back! And this week, they’re joined by a special guest: Angie Westbrook, CEO of Standard AI. Together, they explore one of the most creative builds yet: an AI-powered retail DJ that uses computer vision and custom AI-generated music to adjust a store’s soundtrack based on real-time foot traffic. Think: mood lighting meets AI beats, but for shopping. 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 (0:55) Welcome + introducing guest Angie Westbrook, CEO of Standard AI (1:27) Angie’s background and Standard AI’s mission (1:49) This week’s agenda: AI DJ, Standard AI deep dive, and AI news (2:35) Why AI never slows down + early thoughts heading into the demo (2:55) The build: AI DJ for retail using computer vision + custom tracks (3:38) Bringing music, mood, foot traffic, and AI together (4:13) How stores currently choose music (spoiler: zero data) (4:50) Five custom AI-generated tracks from 90–130 BPM (5:42) Can music drive sales? The team’s hypothesis (6:04) Demo: welcome music + dynamic BPM changes based on occupancy (7:09) Angie reacts — why music + behavior data could transform retail (8:13) Using engagement metrics to improve music and optimize store layouts (9:14) Holiday music reinvented: AI-generated Christmas playlists (9:58) Transition: What Standard AI actually does (10:32) Standard AI explained: “Google Analytics for physical stores” (11:01) Why sales data is a lagging indicator (and too slow for real insights) (11:54) How AI enables rapid in-store experimentation (12:51) Traditional A/B tests vs. AI-powered retail testing (13:55) Faster experiments → faster revenue lift (14:45) Privacy-first computer vision (26-point body labeling) (16:04) What the system “sees” — digital stick figures, not faces (16:43) Visual Engagement Score: a new metric for product discovery (17:52) Why most new products fail (and how AI fixes it) (18:47) Predictive modeling + simulating store changes with AI (19:58) The future of AI-driven retail experiences (20:46) Fun fact: 85–90% of retail sales still happen in-store (21:12) AI News #1: Gamma raises $68M at a $2.1B valuation (22:21) 70M users + 30M decks/month — Gamma’s explosive growth (23:03) Why incumbents (Google, Microsoft) didn’t beat them (23:56) AI News #2: SoftBank sells Nvidia stake, pivots to OpenAI (24:52) AI News #3: 11 Labs launches the Iconic Voice Marketplace (28:02) Historical icons, celebrity voices, and licensing in the AI era (29:12) Consent, rights, and the new economics of synthetic voices (30:09) Fatman Scoop as your in-store DJ? The team imagines the future (30:25) Closing thoughts + a huge thanks to Angie (31:05) Teaser: Next week’s guest — Axiom Math — Platforms / Tools Mentioned: • Standard AI – https://standard.ai • 11 Labs – https://elevenlabs.io • Gamma – https://gamma.app • Audio & music generation tools (various) • AI DJ prototype using computer vision + custom BPM tracks • Ryz Labs – https://www.ryzlabs.com— Listen on Your Favorite Platform: • Spotify – https://open.spotify.com/show/0ahiOCzYxhhkEgbtz9kkeC • Apple Podcasts – https://podcasts.apple.com/us/podcast/built-this-week/id1823270832 • Amazon Music – https://music.amazon.com/podcasts/1017d387-fbb0-4bbf-9488-817cee38e058 • Deezer – https://www.deezer.com/us/show/1001995001 — Follow the Hosts: Jordan Metzner • LinkedIn – https://www.linkedin.com/in/jordanmetzner/ • Instagram – https://www.instagram.com/mrjmetz/ • X – https://x.com/mrjmetz?lang=bn Sam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

    31 min
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About

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.

Information

  • Creator
    Jordan Metzner, Samuel Nadler
  • Years Active
    2025 - 2026
  • Episodes
    29
  • Rating
    Clean
  • Copyright
    © 2025
  • Show Website
    Built This Week