Built This Week

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 • Why half of clinical trial sites enroll 0–1 patients • How AI parses 200-page trial protocols in seconds • The role of digital twins in predicting trial success • How AI improves patient diversity in clinical trials • Why biomarker data is becoming essential in modern medicine • How AI agents infer site capabilities from historical trial data • Why informed patients using AI tools may actually improve healthcare outcomesIf 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 (0:37) Introducing Dr. Chadi Nabhan from Ryght AI (1:12) What RyghtAI is building (2:14) The problem with clinical trial site selection (3:07) Digital twins for clinical trial sites (4:01) Manual vs AI-driven trial strategy simulation (5:15) Why clinical trials fail (6:03) The massive cost and time of drug development (6:51) How AI identifies the best trial sites (8:00) Ranking clinical trial sites using AI scoring (9:03) Diversity challenges in clinical trials (10:02) Using census data to improve patient representation (10:35) Biomarkers and genomic trial requirements (11:48) Predicting future trial success from past data (12:14) How AI accelerates trial matching (13:04) AI agents reading clinical trial protocols (14:20) Parsing 200-page protocols in seconds (15:00) AI identifying investigators and site contacts (15:57) Helping overlooked clinical sites get discovered (17:47) AI’s expanding role in healthcare innovation (18:00) Eight Sleep raises $50M at a $1.5B valuation (21:09) Apple releases a $599 MacBook (23:00) Dr. Nabhan’s upcoming book: AI and Cancer Care (23:33) Will AI replace Google for patient research? (25:30) The future of personalized AI healthcare (26:10) Final thoughts and wrap-up🔗 LINKSRyght AI https://ryght.aiDr. Chadi Nabhan https://chadinabhan.comBuilt This Week New episodes every Friday🎙️ HOSTSJordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetzSam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

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 • How AI agents read and process supplier quotes automatically • How foundational model improvements upgrade products overnight • Why procurement automation directly impacts margin • The data center boom forcing construction to modernize • The difference between “adding AI” and building AI-first software • Whether incumbents like SAP and Salesforce are at risk • Why we may be entering a golden era for construction technologyThis 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 (0:24) Welcome to Built This Week (0:43) Introducing Field Materials AI (1:12) What Field Materials actually does (1:41) Scenario modeling demo (BOM shock analysis) (3:51) Pricing intelligence and risk modeling (4:53) How the company started (6:13) Automating quotes, invoices, and delivery tickets (7:23) Who uses Field Materials (commercial subs) (8:49) How procurement actually works today (manual chaos) (10:07) Cutting overhead and scaling without hiring (11:29) Reducing material waste and pricing errors (12:25) Accelerating invoice approval cycles (13:04) AI agents for different document types (14:01) How foundational model upgrades improve the product (15:09) Why construction underinvested in tech (15:52) The data center boom forcing modernization (16:49) AI + robotics + prefabrication (17:31) Anthropic partnerships and enterprise AI integration (18:39) The next wave: AI with “hands” in enterprise systems (19:49) Why incumbents risk building gimmicks (21:07) Salesforce, SAP, and retention vs innovation (24:12) COBOL, modernization, and disruption cycles (26:39) Why building real AI tools is still hard (27:03) Where to find Field Materials🔗 LINKSField Materials https://fieldmaterials.aiBuilt This Week New episodes every Friday🎙️ HOSTSJordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetzSam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

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 Why molecular AI is 5 to 10 years behind text models How AI could reduce drug timelines from 10 years to 6 to 8 Why cancer and autoimmune diseases may benefit first The limits of FDA regulation in shortening approval cycles OpenClaw, multi-agent systems, and infinite AI teams Cloud versus on prem in the era of foundation modelsThe big takeaway:Chatbots are impressive. But AI applied to biology could extend human life.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 (0:32) Welcome to Episode 32 (1:00) Meet Dov Gertz and Converge Bio (2:02) Demo: Cell Defense Arena game (3:25) Converge Bio’s $33M raise and mission (4:05) Foundation models for molecular data (5:00) Turning DNA, RNA, and proteins into machine-readable text (6:02) How transformers apply to biology (7:03) 400x more DNA than text on the internet (8:02) Who Converge’s customers are (9:21) Faster, cheaper, better drug discovery (10:39) The three bottlenecks: data, architecture, compute (12:02) The future of personalized medicine (13:02) Which diseases benefit first: cancer, diabetes, autoimmune (14:00) Regulatory realities and clinical trial timelines (16:30) Will AI shorten drug approval cycles? (17:01) NVIDIA, GPUs, and scaling molecular AI (18:30) Pharma as a new AI infrastructure consumer (19:13) Hard pivot: OpenClaw and agentic AI (21:26) Managing teams of AI agents (22:20) Cloud versus on prem debate (25:02) Why developers must adapt weekly (29:26) Closing thoughts and where to find Converge Bio🔗 LINKSConverge Bio https://converge-bio.comBuilt This Week New episodes every Friday https://builtthisweek.comJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05

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:Amazon engineers pushing for Claude Code over internal toolsWhy Opus 4.6 is a step-function improvement for codingHow AI is changing software development workflowsElon Musk’s XAI reorg and what it signals about model competitionThe big takeaway:AI is not eliminating analysts. It’s increasing deal throughput and freeing them to focus on alpha.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 (0:25) Welcome to Episode 31 (0:55) Meet August Kiles from Emblem (1:28) Building a portfolio scenario simulation tool (2:05) Modeling regulatory pressure across a 30-company fund (3:00) Liquidity supernova scenario explained (4:00) What Emblem actually does for investment funds (5:00) AI-powered due diligence and data room indexing (6:00) From 100 hours of analysis to seconds (7:20) The old way vs the AI-powered way (8:30) Will AI reduce analyst headcount? (9:40) Getting to “no” faster in private equity (10:30) Where Emblem shines: seed vs private equity (12:00) Multi-agent model orchestration inside Emblem (13:00) How new models improved financial modeling (15:00) Amazon engineers pushing for Claude Code (17:30) Step-function improvements in Opus 4.6 (19:00) Coding workflows transformed by new models (21:30) Elon Musk’s XAI reorganization (23:00) Why model quality now matters more than IDE (25:00) Final thoughts and wrap-up🔗 LINKSEmblem https://emblem.peBuilt This Week New episodes every Friday https://builtthisweek.comJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05

The biggest shift in AI isn’t a new model. It’s agents managing other agents.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:Anthropic’s Opus 4.6 and Agent TeamsOpenAI Frontier and enterprise AI coworkersPerplexity’s Council Mode and LLM swarmsThe era of one chatbot at a time is over. The new skill is learning how to manage AI agents that manage other agents.No hype. No abstractions. Just what actually happens when builders use AI on themselves first.New episodes every Friday.TIMESTAMPS(0:00) The shift from single-agent AI to multi-agent systems (0:21) Welcome to Built This Week Episode 30 (1:00) Agenda and why this week matters (1:38) Why Jordan downloaded his 23andMe data (2:30) Turning unreadable DNA files into usable insights (3:50) Combining genetics, blood work, and medications (5:05) Drug response insights and hereditary signals (6:10) Generating doctor-ready reports for family (7:20) Why this system runs fully local (8:00) Building personal software instead of buying tools (8:40) Sam’s AI personal trainer built with Codex (9:50) Rep-by-rep workout feedback and fatigue detection (10:45) Designing AI interfaces for real-world use (11:40) Codex vs Claude Code: speed vs deep reasoning (12:20) Anthropic Opus 4.6 and Agent Teams (13:00) OpenAI Frontier and AI coworkers (13:25) Perplexity Council Mode and model swarms (14:05) Why multi-agent management is the real inflection (15:15) Becoming a manager of AI managers (16:00) How many agents one human can manage (17:00) AI’s impact on legacy software companies (18:15) Episode 30 wrap-up and what’s nextLINKSBuilt This Week New episodes every Friday https://builtthisweek.comJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05

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. No abstractions. Just what actually happens when you put AI to work inside a real company.New episodes every Friday.================================================================================TIMESTAMPS(0:00) Why internal AI tools matter more than external products (0:55) Episode 29 kickoff and overview (1:45) Why Ryz Labs built ScreenEval (3:30) Live demo: recruiter screen transcript analysis (6:15) Candidate evaluation vs recruiter coaching (9:10) What recruiters miss in fast screening calls (11:40) AI feedback that doesn’t override human judgment (14:00) Searching transcripts instead of resumes (17:20) Manager dashboards and recruiter performance analytics (21:10) How long it actually took to build ScreenEval (23:30) The full stack: Claude Code, Supabase, AWS (25:45) Why Anthropic models power everything (27:30) Claude Cowork explained (29:15) Building a new product live with Cowork (32:40) Cowork vs Claude Code in the terminal (36:00) Managing multiple AI agents at once (39:30) Anthropic’s funding round and market momentum (42:15) Why we’re shifting spend away from other AI tools (45:10) AI inside organizations: efficiency without layoffs (48:30) What every team should be building next (50:45) Final thoughts and closing================================================================================LINKS SECTIONBuilt This Week New episodes every FridayJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05Built This Week https://builtthisweek.com

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 threatsNew 2026 regulations forcing airlines to comply with stricter cybersecurity standardsHow small teams are replacing developers with AI agent managersThe tools Syberian uses: Claude Code, Windsurf, Anthropic, and GeminiWhy Google and Anthropic are rejecting ads while OpenAI explores themAn ex-Amazon exec who vibe-coded a full CRM replacement in 72 hoursNo 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 FridayJordan Metznerhttps://x.com/mrjmetzSam Nadlerhttps://x.com/Gravino05

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 closingLinks SectionBuilt This Week New episodes every FridayJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05Espresso AI https://espresso.ai

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 thoughtsLinksBuilt This Week New episodes every FridayJordan Metzner https://x.com/mrjmetzSam Nadler https://x.com/Gravino05

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 systemsWe 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🔗 LinksAuto Acquire AI https://autoacquire.aiBuilt This Week New episodes every Friday🎙️ HostsJordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetzSam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

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 windowsThis 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  🔗 LINKSArya Health https://www.aryahealth.ai/Built This Week New episodes every Friday👤 HOSTSJordan Metzner https://linkedin.com/in/jordanmetzner https://x.com/mrjmetzSam Nadler https://linkedin.com/in/sam-nadler-1881b75 https://x.com/Gravino05

(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 betsIt’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 HostsJordan Metzner• LinkedIn –  

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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

Built This Week – Episode #21Not your STANDARD MarketSam 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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

Built This Week – Episode #20Episode 20: Compliance, Pomelli, and the Rise of the RobotsSam Nadler and Jordan Metzner are back for a landmark 20th episode of Built This Week!  This time, the duo breaks down how Ryz Labs used AI to build a full compliance and education platform, complete with video-based lessons, automated tests, and certificates: all powered by Video 3.1, React, and Supabase. They also explore Google’s new AI-powered marketing tool, which auto-generates on-brand social campaigns in seconds (seriously, it’s like having a creative team in your browser). In AI News, the hosts discuss Amazon’s robot-run Whole Foods stores, the growing home robotics market, and what a $20,000 “household robot” really means for the future of everyday automation. Fun, fast builds. Real AI demos. And a glimpse into how AI is quietly reshaping how we work, market, and even shop for groceries.Show Notes:(0:00) Intro + hitting 15,000 subscribers(1:00) What’s on deck this week(3:00) The rise of AI-powered compliance training(4:00) Demo: AI-generated videos + exam builder(6:30) Building with Supabase + React + Video 3.1(8:30) Why we built (not bought) our education platform(10:00) Google’s new social marketing tool demo(12:30) Creating full brand campaigns with AI(15:00) Sponsor: Ryz Labs – build faster with world-class teams(16:00) AI News: Amazon’s robotic Whole Foods(18:00) The $20K home robot – hype or reality?(22:00) What robots can (and can’t) do yet(24:00) Reflections on episode 20 + what’s next(25:30) Teaser: Next week’s guest – Angie Westbrook, CEO of Standard AIPlatforms / Tools Mentioned:• Ryz Labs - https://www.ryzlabs.com/ • Supabase - https://supabase.com • Vite + React - https://vitejs.dev • Pika Labs Video 3.1 - https://pika.ar— 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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

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.In Tool of the Week, they explore Google’s Build Studio, a fresh entry into the “vibe coding” space, and explain why it’s a step-function improvement over other no-code tools. Gemini comes baked right in. Finally, in AI News, they break down Nvidia’s record-breaking $5 trillion valuation and Elon Musk’s Grok-a-pedia, a controversial AI-powered rival to Wikipedia.Fun, fast builds. Real AI demos. And a whole lot of Halloween spirit.—Show Notes: (0:00) Intro + Halloween costumes (1:00) Mirror, Mirror on the Wall – the spooky AI build (3:20) How it works – Gemini, speech-to-text, and text-to-speech (5:00) Building with Google’s new AI Studio (8:00) Guess the Costume app demo (9:00) Trick-or-Treat Route Optimizer with Maps + Gemini (13:00) Why Google’s “vibe coding” tool feels like a leap forward (15:20) News: Nvidia hits $5T valuation (18:00) Elon Musk launches Grok-a-pedia (21:40) Halloween wrap-up + what’s next week—Platforms / Tools Mentioned: • Ryz Labs – https://www.ryzlabs.com • Google AI Studio / Build – https://aistudio.google.com/build • Nvidia – https://www.nvidia.com • Grok-a-pedia – https://x.ai— 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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

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.—Show Notes (0:00) Intro (1:20) TrickOrTreat demo — how the AI costume builder works (3:30) Why Jordan built it + tech stack (Replit, NanoBanana, Video 3.1) (5:30) Funny results, costumes, and team reactions (8:40) Real use cases for generative video (9:50) Tool of the Week – Publer for social media syndication (12:10) How Publer helps scale content across platforms (14:30) AI News: Kohler’s “toilet camera” and privacy questions (20:00) AI News: OpenAI launches ChatGPT Atlas browser (25:00) AI News: Google AI Studio introduces “vibe-coding” app builder (29:40) Wrap-up + closing thoughts—Platforms / Tools Mentioned• Ryz Labs • TrickOrTreat – demo • Publer • NanoBanana API • Replit—Listen on Your Favorite Platform• Spotify • Apple Podcasts • Amazon Music • Deezer—Follow the HostsJordan Metzner • LinkedIn • Instagram • X (Twitter)Sam Nadler • LinkedIn • X (Twitter)

Episode 18: TrickorTreat!This week on Built This Week, 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.—Show Notes (0:00) Intro (1:20) TrickOrTreat demo — how the AI costume builder works (3:30) Why Jordan built it + tech stack (Replit, NanoBanana, Video 3.1) (5:30) Funny results, costumes, and team reactions (8:40) Real use cases for generative video (9:50) Tool of the Week – Publer for social media syndication (12:10) How Publer helps scale content across platforms (14:30) AI News: Kohler’s “toilet camera” and privacy questions (20:00) AI News: OpenAI launches ChatGPT Atlas browser (25:00) AI News: Google AI Studio introduces “vibe-coding” app builder (29:40) Wrap-up + closing thoughts—Platforms / Tools Mentioned• Ryz Labs: www.ryzlabs.com• Publer: www.publer.com• NanoBanana API:  https://nanobanana.ai/• Replit: https://replit.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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

Episode 16: AI Agents Reinvent ConstructionThis week on Built This Week, Jordan Metzner and Sam Nadler sit down with Tristan Wilson, CEO of Edgevanta, an AI startup that brings automation to one of the world’s most traditional industries: construction. From parsing 1,200-page bid packages to predicting pricing with AI agents, Edgevanta is helping estimators work faster, smarter, and more profitably. Then, the hosts dive into the week’s biggest AI news: Nvidia’s $2B investment into Elon Musk’s xAI, OpenAI’s projected $1 trillion infrastructure spend, and how AI adoption is accelerating across industries, from consulting giants to construction firms.— Show Notes:(0:00) Intro – welcome + guest intro: Tristan Wilson, CEO of Edgevanta(1:10) What We Built: Edgevanta Tycoon, AI-powered construction sim game(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(19:50) AI News #1: Nvidia invests $2B in Elon Musk’s xAI(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— Platforms / Tools Mentioned:Edgevanta: https://www.edgevanta.ai/Nvidia: https://www.nvidia.comxAI (Elon Musk): https://x.aiOpenAI: https://www.openai.comAnthropic: https://www.anthropic.comErnst & Young (EY): https://www.ey.comNvidia: https://www.nvidia.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=bnSam Nadler• LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05

Episode 15: Sora 2 Took Over AI Video + Our New Parking Data ToolThis 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.— Show Notes:(0:00) Intro – welcome + topics for this week(1:20) What We Built: Tix LAX – LA parking tickets mapped with city data(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(6:10) Data quirks: future-dated tickets + 2-day delay(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— Platforms / Tools Mentioned:OpenAI / Sora 2: https://openai.comApple: https://www.apple.comMeta (Ray-Ban Meta Smart Glasses): https://about.meta.comNvidia: https://www.nvidia.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=bnSam Nadler • LinkedIn – https://www.linkedin.com/in/sam-nadler-1881b75/ • X – http://x.com/Gravino05