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 cloud
• How real-time query routing beats manual cost controls
• Where AI helps engineers — and where it absolutely does not
• The limits of vibe coding for serious infrastructure
• Gemini powering Siri and what it means for voice assistants
• Meta’s massive GPU buildout and the future of hyperscalers

No 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

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 differently
• How insider-like signals emerge from coordination and volume behavior
• Why bots end up trading against bots
• Where real alpha might exist (and where it does not)

We also cover:

• Google NotebookLM as a serious education and onboarding tool
• Turning documents into infographics, slide decks, and audio learning
• Nvidia entering autonomous driving and competing with Tesla
• Nvidia’s new Rubin architecture and why it matters
• Tesla vs Waymo economics and the future of Full Self Driving
• Why Anthropic and Claude Code are becoming developer defaults

This 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

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

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

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

Built This Week – Episode #20

Episode 20: Compliance, Pomelli, and the Rise of the Robots

Sam 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 AI

Platforms / 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=bn

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