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Just Now Possible

How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows and agents to RAG and evaluation strategies, and explore how their products keep evolving. If you’re building with AI, these are the stories for you.

From Prototype to Production: How Perk Built a Voice AI Agent That Makes 10,000 Calls a Week

From Prototype to Production: How Perk Built a Voice AI Agent That Makes 10,000 Calls a Week

Listen to this episode on: Spotify | Apple Podcasts What happens when you combine a real customer problem, a no-code prototype, and a team willing to listen to every single call? In this episode of Just Now Possible, Teresa Torres talks with Steven Payne (Product Manager), Gabriel Stock (Senior Engineering Manager)

Building an AI Sleep Coach: How Rest is Making CBTI Principles Accessible to DIY Sleep Hackers

Building an AI Sleep Coach: How Rest is Making CBTI Principles Accessible to DIY Sleep Hackers

Listen to this episode: Spotify | Apple Podcasts What if you could get personalized sleep coaching—inspired by the same principles that cost thousands of dollars and have year-and-a-half waitlists—through a voice AI that checks in with you every morning? In this episode of Just Now Possible, Teresa Torres talks

Just Now Possible with Teresa Torres cover with episode title: Building an AI HelpDesk at Xelix.

Turning Vendor Chaos into Answers: How Xelix Built an AI Helpdesk

Listen to this episode on: Spotify | Apple Podcasts Accounts payable inboxes can see 1,000+ vendor emails a day. Xelix’s new Helpdesk turns that chaos into structured tickets, enriched with ERP data, and pre-drafted replies—complete with confidence scores. In this episode, Claire Smid (AI Engineer), Emilija Gransaull (Back-End

When AI Becomes Your SRE: How Incident.io Is Automating Incident Response

When AI Becomes Your SRE: How Incident.io Is Automating Incident Response

Listen to this episode on: Spotify | Apple Podcasts When your site goes down, every second counts. For years, Incident.io has helped engineering teams coordinate through chaos—getting the right people in the room, keeping stakeholders informed, and restoring order fast. Now, they’re building something new: an AI SRE

Building Trainline’s AI Travel Assistant: How a 25-Year-Old Company Went Agentic

Building Trainline’s AI Travel Assistant: How a 25-Year-Old Company Went Agentic

Listen to this episode on: Spotify | Apple Podcasts Trainline—the world’s leading rail and coach platform—helps millions of travelers get from point A to point B. Now, they’re using AI to make every step of the journey smoother. In this episode, Teresa Torres talks with David Eason

Powering Government with Community Voices: How ZenCity Built an AI That Listens

Powering Government with Community Voices: How ZenCity Built an AI That Listens

Listen to this episode on: Spotify | Apple Podcasts How do you use AI to help city leaders truly hear their residents? In this episode, Teresa Torres talks with Noa Reikhav (Head of Product), Andrew Therriault (VP of Data Science), and Shota Papiashvili (SVP of R&D) from Zencity, a

Building AI Coworkers: How Neople Is Making Agents Work Where You Work

Building AI Coworkers: How Neople Is Making Agents Work Where You Work

Listen to this episode on: Spotify | Apple Podcasts What if your next teammate was an AI coworker — one that could answer support tickets, process invoices, or even draft your next email — and your non-technical colleagues could teach it how to do those tasks themselves? In this episode, host Teresa Torres

Building Alyx: How Arize AI Dogfooded Its Way to an Agentic Future

Building Alyx: How Arize AI Dogfooded Its Way to an Agentic Future

Listen to this episode on: Spotify | Apple Podcasts What does it really take to build an AI agent inside an AI platform—especially when you’re using that same platform to build the agent? In this episode of Just Now Possible, Teresa Torres talks with SallyAnn DeLucia (Director of Product

Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Debugging AI Products: From Data Leakage to Evals with Hamel Husain

Listen to this episode on: Spotify | Apple Podcasts How do you know if your AI product is actually any good? Hamel Husain has been answering that question for over 25 years. As a former machine learning engineer and data scientist at Airbnb and GitHub (where he worked on research that

Inside eSpark’s AI Teacher Assistant: RAG, Evals, and Real Classroom Needs

Inside eSpark’s AI Teacher Assistant: RAG, Evals, and Real Classroom Needs

Listen to this episode on: Spotify | Apple Podcasts How do you build an AI-powered assistant that teachers will actually use? In this episode of Just Now Possible, Teresa Torres talks with Thom van der Doef (Principal Product Designer), Mary Gurley (Director of Learning Design & Product Manager), and Ray Lyons

Turning Disruption into Opportunity: The Stack Overflow AI Story with Ellen Brandenberger

Turning Disruption into Opportunity: The Stack Overflow AI Story with Ellen Brandenberger

Listen to this episode on: Spotify | Apple Podcasts When ChatGPT launched, Stack Overflow faced a cataclysmic shift: developer behavior was changing overnight. In this episode, Teresa Torres talks with Ellen Brandenburger, former product leader at Stack Overflow, about how her team navigated the disruption, prototyped AI features, and eventually built

Podcast Preview - Just Now Possible

Podcast Preview - Just Now Possible

Listen to this preview on: Spotify | Apple Podcasts | Read the transcript ($) How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows

Announcing: Just Now Possible

Announcing: Just Now Possible

I am excited to launch my new podcast: Just Now Possible. How AI products come to life—straight from the builders themselves. In each episode, we dive deep into how teams spotted a customer problem, experimented with AI, prototyped solutions, and shipped real features. We dig into everything from workflows