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Just Now Possible

Teresa Torresjustnowpossible.com
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.
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Episodes

Building Rhea's Factory: How AI-Designed Enzymes Could Finally Solve Plastic Recycling

Guests Arzu Sandıkçı, Co-founder & CEO, Rhea's Factory Mert Topcu, Co-founder, Rhea's Factory In this episode: Why only 10% of plastic gets recycled—and why mechanical and chemical methods hit a ceiling How enzymatic recycling breaks plastic all the way back to its original monomers, unlike traditional methods that just shorten polymer chains Why enzymes are selective: they can target specific plastic types even in mixed waste streams The discovery of a plastic-eating bacteria in Japan that ...

May 14, 20261 hr 10 minEp. 25

Building AI Employees for Hospitality: How AITropos Takes Orders Where Customers Already Are

Guests Santi Marchiori, CEO, AITropos Juan Haedo, CTO, AITropos You'll hear how they Spent two years exploring hundreds of startup ideas before finding the specific niche of AI-powered order taking in hospitality Went through three product iterations — hardware for waiters, a waiter app, and finally a customer-facing WhatsApp agent — before landing on the right form factor Identified order item identification accuracy as their single most important KPI Chose a tools-based agent architecture over...

Apr 30, 20261 hr 8 minEp. 24

Building Todoist Ramble: How Doist Turned Voice Braindumps into Real-Time Task Capture

Guests Ernesto Garcia, Front-end Product Engineer, Doist Thomas Jost, Backend Software Engineer, Doist Hugo Fauquenoi, Product Manager, Doist In this episode How Doist's 2-3 month AI exploration phase led to Ramble — and why voice-to-task emerged as the top contender The user research insight behind Ramble: people using pen and paper or ChatGPT voice to brainstorm tasks before committing them to Todoist Why Ramble skips transcription entirely and processes raw audio directly with a Gemini live a...

Apr 16, 20261 hr 1 minEp. 23

Building Banani: How a Canvas-First AI Designer Is Raising the Floor on Product Design

Guests Vlad Solomakha, CEO & Co-founder, Banani Vova Parkhomchuk, CTO & Co-founder, Banani Vlad Ostapovats, Founding Growth, Banani In this episode Why Banani started as a Figma plugin and what they learned from early organic distribution The canvas-first approach: why Banani is built around a design canvas rather than a chat interface How their agent architecture splits prompts into surgical edits instead of regenerating full screens The "gulf of specification" problem and what Banani i...

Apr 02, 20261 hr 10 minEp. 22

Building Agent Studio: How Medable Is Using Agentic AI to Accelerate Clinical Trials

Guests Luke Bates, Product Leader (Agent Studio), Medable Jen Brown, Product Manager, Medable Matt Schoolfield, Product Designer, Medable Fiachra Matthews, Principal Architect, Medable What we cover in this episode: What Medable does: enabling global clinical trials across 100+ languages and accelerating drug-to-market timelines The two agents built on Agent Studio—ETMF (document classification) and CRA (clinical data monitoring)—and the problems they solve Why Medable chose a platform approach ...

Mar 19, 20261 hr 6 minEp. 21

Building GitHub for Product Management: How Momental Uses AI to Find Merge Conflicts in Strategy

Guests Matthias Kleverud - Co-Founder, Momental Charlotte Kleverud - Co-Founder, Momental What we cover in this episode: What "GitHub for product management" means: finding merge conflicts in strategy, not code The product chain: signals → learnings → decisions → principles, and how AI maps it Three trees that model an organization: the product tree (OKRs to epics), the wisdom tree (decisions and their reasoning), and the people/time tree How a document processing agent uses OODA-loop thinking t...

Mar 05, 20261 hr 5 minEp. 20

Building AI Sales Reps: How ShowMe Orchestrates Voice, Video, and Multi-Agent Workflows to Close Deals

Guests Yuri Vela Tulopov -- Co-Founder and CEO, ShowMe Quique Gomez -- Co-Founder and Lead Product Engineering, ShowMe What we cover in this episode: How ShowMe builds AI digital workers that function as inbound sales reps The origin story: spotting the conversion gap at a previous company and realizing AI could fill it Why the first MVP was a voice agent with product videos and a simple RAG knowledge base Adding a realistic avatar via HeyGen and how it changed user engagement through better aff...

Feb 19, 20261 hr 4 minEp. 19

Building Earmark: How a Two-Person Team Turned Meetings into Finished Work

Guests Mark Barbir – CEO, Earmark Sanden Gocka – Co-Founder, Earmark What we cover in this episode: How Earmark differs from generic AI notetakers by producing finished work, not just summaries The pivot from Apple Vision Pro presentation coaching to a web-based meeting assistant Running multiple agents in parallel during live meetings Template-based agents: Engineering Translator, Make Me Look Smart, Acronym Explainer Personas that simulate absent team members (security architect, legal, access...

Feb 05, 20261 hrEp. 18

When Trust Is Everything: Building AI for Physicians at Healio

Guests Jennifer Deal – SVP of Product Development, Healio Casey Utley – Senior UX Designer, Healio Matthew Skepner – VP of Technology, Healio What we cover in this episode: Why physicians need AI at the point of care—and how they actually use it (hint: it's preparation, not bedside) The surprising discovery that physicians wanted help with patient communication and empathy, not just clinical answers Building a working prototype in a weekend with Cursor after starting with Figma mockups How Heali...

Jan 22, 202649 minEp. 17

Building Tendos AI: How an Agent Swarm Turns Construction Emails into Quotes

Guests Daniel Kappler — CPO (Product & Design), Tendos AI Matthias Hilscher — CTO (Engineering), Tendos AI Key Takeaways Start narrow to prove value: Tendos AI began with just radiators for one design partner before expanding to all building products Own the interface: building a web application (vs. integrating into legacy systems) gave them control over UX and the ability to iterate toward full automation Evaluate each agent, not just the chain: per-agent evals make debugging tractable and...

Jan 15, 20261 hr 6 minEp. 16

Building a Career Co-pilot for Disadvantaged Students: How Zero Gravity Bridges Knowing and Doing

Guests Elliot Little, Product Manager, Zero Gravity Dan St. Paul, Software Engineer, Zero Gravity What we cover in this episode Zero Gravity's mission: breaking down barriers to elite careers for disadvantaged UK students The "knowing-doing gap"—why students struggle to act even when they know what to do Why their first prototype (a job suitability summary) didn't create the "wow moment" they expected The decision to use text chat over voice input and why guided prompts beat empty text boxes Con...

Jan 08, 20261 hr 10 minEp. 15

Automating the Full Customer Support Iceberg: How Gradient Labs Built a Multi-Agent Platform

Guests** Jack Taylor, Product Engineer, Gradient Labs Ibrahim Faruqi, AI Engineer, Gradient Labs In this episode The iceberg metaphor: why frontline support is only the tip of automation potential How three agent types (inbound, back office, outbound) coordinate on complex tasks like fraud disputes Natural language procedures that let subject matter experts train agents without engineering bottlenecks The "turn" architecture: state machines that orchestrate agent logic across async, multi-day co...

Dec 18, 20251 hr 1 minEp. 14

Building Mowie: How a Concierge Service Became an AI Marketing Platform

Guests Chris O'Connor – CEO, Mowie Jessica Valenzuela – Co-Founder, Mowie What we cover in this episode How Mowie evolved from a concierge marketing service to an AI-powered platform The "document hierarchy" architecture: how Mowie builds and maintains context about each business Why they moved from structured schemas to loosely structured markdown for intermediate processing Using Simon Sinek's Golden Circle framework to validate early product-market fit How Mowie generates quarterly content ca...

Dec 11, 20251 hr 8 minEp. 13

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

Guests Steven Payne, Product Manager, Perk Gabriel Stock, Senior Engineering Manager, Perk Philipe Steiff, Senior Software Engineer, Perk What we cover in this episode How Perk's team identified an AI use case by connecting prior experimentation with a real operational problem Why they chose Make.com for prototyping—and shipped to production without touching backend code The evolution from a single prompt to structured conversation stages (IVR handling, booking confirmation, payment request) How...

Dec 04, 202555 minEp. 12

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

Guests Martin Siniawski, CEO and co-founder, Rest Ignacio, CTO, Rest You'll hear how they: Discovered the sleep use case from podcast app user behavior (10% of users, but high willingness to pay) Used jobs-to-be-done research to identify "DIY sleep hackers" as an underserved segment Chose CBTI (Cognitive Behavioral Therapy for Insomnia) as their foundation—a clinically proven approach with 80% efficacy Evolved from text chatbot to voice-first AI using Vapi for voice and OpenAI for reasoning Buil...

Nov 20, 20251 hr 7 minEp. 11

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

Guests Claire Smid — AI Engineer, Xelix Emilija Gransaull — Back-End Tech Lead, Xelix Talal A. — Product Manager, Xelix Key Takeaways Start narrow to win: pick high-volume, high-cost requests (invoice status & reminders). Enrichment > magic: accurate replies come from great retrieval/matching, not just a bigger LLM. Design for adoption: familiar inbox view helps onboarding, but a ticket-first UI unlocks AI features. Measure outcomes, not vibes: track “messages sent from Helpdesk”, % auto-...

Nov 13, 202554 minEp. 10

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

Guests Lawrence Jones, Founding Engineer at Incident.io Ed Dean Product Lead for AI at Incident.io Key Takeaways AI’s biggest impact comes from compressing time—identifying causes minutes instead of hours. Retrieval-augmented reasoning still benefits from simplicity: deterministic tagging and re-ranking often beat complex vector setups. Post-incident “time travel” evals let teams score AI accuracy after they know what really happened. Building trust in AI isn’t just about precision—it’s about sh...

Nov 06, 20251 hr 8 minEp. 9

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

Guests David Eason, Principal Product Manager at Trainline Billie Bradley, Product Manager, Travel Assistant at Trainline Matt Farrelly, Head of AI and Machine Learning at Trainline Key Takeaways AI assistants need both scalable reasoning and deep domain context to be useful. Tool design and guardrails are as critical as prompt design in agent systems. LLM-as-judge evals make it possible to measure open-ended systems without massive labeling costs. Even legacy companies can move fast when they e...

Oct 30, 20251 hr 9 minEp. 8

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

Guests Noa Reikhav, Head of Product, Zencity Andrew Therriault, VP of Data Science, Zencity Shota Papiashvili, SVP of R&D, Zencity In this episode How Zencity helps local governments reach, understand, and act on community voices Turning thousands of survey responses, social posts, 311 calls, and news items into usable insight Building a data model with multiple layers—raw data → elements → highlights → insights → briefs Why context is everything when building AI for civic use How the team d...

Oct 23, 20251 hr 8 minEp. 7

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

Guests: Seyna Diop , Chief Product Officer, Neople Job Nijenhuis , CTO & Co-founder, Neople Christos Constantinou , Lead Design Engineer, Neople Chapters: 00:00 Meet the Team: Introducing Neople's Key Players 01:16 Understanding Neople's Product: Digital Coworkers 03:25 The Origin Story: How Neople Came to Be 06:24 Customer Success: Real-World Applications of Neople 12:36 Evolution of Neople: From Suggestions to Automations 15:18 Integrations and Scaling: Making Neople Work Everywhere 20:33 ...

Oct 16, 20251 hr 12 minEp. 6

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

Guests: SallyAnn DeLucia, Director of Product, Arize Jack Zhou, Staff Engineer, Arize In this episode, we cover: What tracing, observability, and evals really mean in GenAI applications How Arize used its own platform to build Alyx, its AI agent The role of customer success engineers in surfacing repeatable workflows Why early prototyping looked like messy notebooks and hacked-together local apps How dogfooding shaped Alyx’s evolution and built confidence for launch Why evals start messy, and ho...

Oct 09, 202549 minEp. 5

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

Guest: Hamel Husain AI products and problems discussed: GitHub Copilot Forecasting AirBnB Guest Growth - NurtureBoss Resources & Links Hamel’s blog on AI evals AI Evals for Engineers and PMs course on Maven (Get 35% off with this affiliate link) Chapters: 00:00 Introduction to Hamel Hussein 00:34 Challenges in AI Consulting 02:00 Machine Learning Fundamentals 04:47 Debugging Machine Learning Models 05:00 Case Study: Airbnb's Guest Growth 08:51 Understanding Machine Learning Models 18:35 Intr...

Oct 02, 20251 hr 27 minEp. 4

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

Guests: Thom van der Doef, Principal Product Designer at eSpark Mary [last name], Director of Learning Design & Product Manager at eSpark Ray Lyons, VP of Product & Engineering at eSpark Topics covered: The origin story of Teacher Assistant: connecting administrator mandates with teacher needs Why the team abandoned a chatbot interface in favor of a more structured workflow How retrieval augmented generation (RAG) and embeddings shaped the product architecture Lessons learned from debugg...

Sep 25, 20251 hr 9 minEp. 3

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

Guest: Ellen Brandenburger – Product leader and coach; former head of product at Chegg Skills and Stack Overflow’s data licensing team. What we cover in this episode: How Ellen joined Stack Overflow just two weeks before ChatGPT launched, reshaping the company’s future overnight The creation of Overflow AI: a team tasked with exploring “what’s just now possible” for developers Four iterations of conversational search: V1: a chat UI on top of keyword search V2: semantic search to handle natural q...

Sep 18, 20251 hr 8 minEp. 2

Podcast Preview

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. The first full episode drops on Thursday, September 18th. Don't miss it!

Sep 10, 20252 minEp. 1
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