The Line

Everyone has a line they won't let AI cross—a task, a relationship, a piece of work that has to stay human. But where exactly is that line, and why?Each episode, hosts Sean Legnini and Matthew Kruger-Ross from The PEXE Lab sit down with someone from a different field and ask: where's your line?Part interview, part investigation into what it means to stay human in an age of AI.

The Line is a technology podcast hosted by The PEXE Lab, with 10 episodes on record and a Required Pod Score of 80.

The PEXE Lab hosts The Line, a technology show with 10 episodes published.

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

• 

  Episode #10

  Ep. 10 - Tom Pantazes: The Great Flattening (Season Finale!)

  Jun 18, 20261h 3mS1

  For the finale of The Line , Matthew and Sean sit down with the guest who'd been at the top of their list since the beginning: Dr. Tom Pantazes , educational developer at West Chester University and host of the ODLI On Air podcast. Tom draws his first line along a familiar axis — personal versus professional. He uses AI for administrative and disciplinary work but sees little reason to bring it home (and won't pay for it himself). That opens the episode's central argument: is AI's value about efficiency — removing friction, making things quick and painless — or about extension , building on real expertise to go places you couldn't go alone? Sean makes the case for extension. Tom pushes back: isn't extension just another kind of efficiency? Isn't all technology efficiency improvement? They don't fully settle it, and that's the point. Along the way: Kieran Egan and Walter Ong on the gains and losses baked into every technology (yes, even pencils, even language); an economics professor using Claude Code to take students further than Word ever could; and the sharpest idea of the season — the flattening . As a predictive tool, AI is "the great averager." Tom's experiment having students quiz AI on games only they had mastered (the summary of one read like the back of the box) shows exactly what averaging leaves out. From there: why embodiment is the thing AI simply can't do — and why that question opens the door to what's next. In the debrief, Sean lands the line of the season: "Efficiency is an act of flattening. I don't want to live in a flat world." The conversation turns to Heidegger, Aristotle's four causes, and Sarah Ahmed's queer phenomenology — the dashboard as habitus, place shaping body and body shaping place — pointing directly toward the dissertation work ahead. Plus: what's next for PEXE. A new show on phenomenology as public pedagogy is coming this fall, with a possible Season Two of The Line in the winter. Find Dr. Tom Pantazes and ODLI On Air , LinkedIn, BlueSky, and YouTube And find the PEXE Lab at our website. Thanks for listening!

  ListenShow Notes
• 

  Episode #9

  Ep. 9 - Kyle Brun: It's Just the Internet Now

  Jun 4, 202646 minS1

  What happens when an entire school district decides to lean in? In Episode 9 of The Line, we sit down with Dr. Kyle Brun — assistant principal at Garnet Valley School District, adjunct professor, and the man who saved Sean from his 100% Turnitin AI detection score. Kyle brings something we haven't heard from any guest yet: a complete absence of hesitation. For Kyle, AI isn't a tool he decides to use — it's embedded in his professional life the way the internet is. He talks to ChatGPT on his drive home. He uses it to check his blind spots before difficult parent meetings. He doesn't deliberate about whether to use it. He just does. But Kyle's story is bigger than his own practice. Garnet Valley has gone district-wide: paid ChatGPT accounts for every teacher, plus tools like Napkin AI, GoPol, and Magic School AI. Their director of technology works directly with OpenAI's education advisory group. They've built digital citizenship lessons from kindergarten through twelfth grade and adopted a stoplight system for student AI use. And the culture isn't top-down mandate — it's collective buy-in rooted in a district identity that has always leaned toward innovation. So where's the line? Kyle says there really isn't one — until we bring up AI girlfriends and parasocial AI relationships. That's where all three of us hit a wall we didn't need to think about. In the debrief, Matthew and Sean unpack what it means when AI becomes habit in the phenomenological sense — not routine but incorporated into how someone moves through their work. Matthew pushes back hard on "cognitive debt" language, arguing through the analogy of a blind person's cane that what's happening is cognitive extension, not loss. And the conversation opens into a broader reckoning with binary thinking itself — drawing on Kieran Egan's cognitive tools, Michel Serres, and the idea that "AI is good" versus "AI is bad" is a frame we need to outgrow if we're going to have honest conversations about what's actually happening in schools.

  ListenShow Notes
• 

  Episode #8

  Ep. 8 - Zach Juliano: Sean's Bad Back and Phenomenological Physical Therapy

  May 21, 20261h 3mS1

  What happens when AI meets the body? In this episode of The Line, we sit down with Zach Juliano, physical therapist and owner of Home Team Wellness, to explore where AI fits — and where it doesn't — in the world of movement, rehab, and human healing. Zach is the guy who got Sean back on the ice after herniated discs nearly ended his hockey career. After nine months at a generic PT clinic with zero improvement, six weeks with Zach changed everything. The difference? Zach doesn't treat pain where it shows up. He treats the whole body — watching how you move, asking about your life, understanding the way your work, your sport, and your daily routines shape the way your body breaks down and builds back up. Zach uses AI for the business side of his practice — CapCut for social media content, ChatGPT for tightening up captions and posts. But when it comes to patient care, the line is firm. No AI treatment plans. No generic protocols. Every body is different, every injury has a story, and the textbook (or the chatbot) only gets you so far. Sean put this to the test — he asked Claude about his back pain and got the same cookie-cutter advice his first PT gave him. Bird dogs. Crunches. Core work. The stuff that kept him stuck in a pain cycle for nearly a year. What actually worked was a practitioner who could see him, know him, and treat the root cause rather than the symptom. In the breakdown, Sean and Matthew connect Zach's philosophy to phenomenology — the study of lived experience. Zach's approach to PT mirrors what phenomenologists have argued for decades: the body is not a machine with isolated parts. It is a whole, and understanding it requires attending to how a person actually moves through their world. Matthew draws a direct line between Zach's practice and the work of his doctoral supervisor, Stephen Smith, on movement and embodiment. The conversation pushes into deeper questions: What is the difference between a shared intellectual experience and a shared embodied one? Can AI ever understand a body it does not have? Why do we keep trying to give robots human bodies? And what does the gap between language and lived experience mean for the future of AI in healthcare? This is the episode for anyone who has ever been treated like a number at a doctor's office and knows there has to be a better way. You can find Zach @HomeTeamWellness on Instagram and at www.hometeamwellness.com For us, you can join our conversation by checking out these links: Sean's Substack Sean's Instagram Matthew's Substack Matthew's Instagram PEXE Lab Substack PEXE Lab Website

  ListenShow Notes
• 

  Episode #7

  Ep. 7 - Jess Taraborrelli: Compliance, Privacy, and The Stranger on the Street

  May 7, 202658 minS1

  What happens when your own writing gets flagged as AI-generated? Sean kicks off this episode with a rant against Turnitin and AI detection tools after his own papers — written entirely by him — came back marked 90% and 100% AI. The irony of using AI to detect AI sets the stage for a broader conversation about trust, tools, and where we draw lines. This week's guest is Dr. Jess Taraborrelli, a school psychologist whose dissertation explored how educators perceive AI-enabled wearable technologies for supporting neurodiverse students. Her research imagined a future where wearable devices could alert teachers before a student's emotional escalation — a hypothetical technology built from components that already exist in healthcare and other fields. Jess walks us through how she uses AI across her personal life, her professional role writing psychological evaluations, and her doctoral journey, revealing how her line shifts dramatically depending on context. In her professional world, Jess is careful and deliberate — stripping student names, birthdates, and identifiable information before running reports through her district-approved Copilot. In her personal life, she's far more open, snapping photos of fridge contents for dinner ideas and turning family photos into watercolor prints. During her doctorate? She barely touched it, too afraid of being flagged. The phenomenological breakdown takes a turn when Matthew shares a moment of feeling "seen" by Claude — then immediately questions what that feeling actually is. If Claude is running probability on language models, what is it that makes us feel recognized? Sean introduces a "stranger on the street" test: Would you share this with a stranger? Probably not your child's photo. Probably not your MRI. But a Substack idea? Sure. The question is whether AI is a stranger at all — or something else entirely, something we don't yet have language for. The hosts connect threads from previous episodes — Pastor Andrew's question about whether AI can speak, the "human in, human out" framework, and the idea that our knowledge isn't really "ours" to begin with. The episode closes with a thread pulling in van Manen's work on childhood secrets and the relationship between privacy, ownership, and how we constitute ourselves. Where's your line? As always you can find us and continue the conversation at the link's below: Sean's Substack Sean's Instagram Matthew's Substack Matthew's Instagram PEXE Lab Substack PEXE Lab Website

  ListenShow Notes
• 

  Episode #6

  Ep. 6 - Ivan Estevez: The Digital Divide and Ethics vs Trust

  Apr 23, 20261 hourS1

  What if the thing we've been calling "AI ethics" is actually a conversation about trust? Sean and Matthew open this episode with a confession: after interviewing Pastor Andrew last week, they've both crossed a line they swore they wouldn't cross. Claude is now on their computers — organizing files, rebuilding folder structures, generating dashboards that run their lives. Sean asks the uncomfortable question: would we have crossed this line if the person telling us to was anyone other than a holy man? That question quietly reframes the whole podcast. Then they sit down with Ivan Estevez — Chief Academic Officer at a K-12 cyber school in North Philadelphia, first-generation American, first-generation college graduate, and one of Matthew's doctoral students at West Chester. Ivan recently vibe-coded an entire murder mystery game for a curriculum seminar, and rebuilt his school's $10,000-a-year board agenda platform for under $100. He has a working line that cuts through the noise: is AI replacing your thinking, or extending it? But Ivan's research interest is sharper than the tool talk suggests. He's watching a new digital divide open up — Latino students are the largest incoming segment of the American workforce, and the smallest share of STEM careers. He worries about what happens when affluent districts spin up AI clubs and under-resourced districts block the tools entirely. And he introduces a concept that sends Sean's David Abram antennae into the red: sovereign AI . An indigenous tribe in New Mexico has built its own local LLM — meeting state standards, but teaching math through the tribe's stories rather than through Sally's fourteen watermelons. In the debrief, Sean and Matthew push on both the light and the dark of that story. Sovereign AI connects beautifully to older arguments about how written language abstracts knowledge from place — but "the internet in China" is sovereign AI too. They get into the marketing mythology around Anthropic's "good guy" positioning, the Mythos release, the emerging gap between who gets access to which models, and what it means that their own line keeps moving because they've decided Claude is trustworthy. It's an episode about what extends us and what replaces us, about who gets to decide, and about the quiet philosophical shift from "what is ethical" to "whom do we trust." Featuring: – Ivan's "replacing vs. extending your thinking" line – The vibe-coded murder mystery app heard around the EdD program – Sovereign AI and indigenous technological self-determination – Why Matthew thinks ideas aren't little blocks – Talking to dolphins (yes, really) As always you can find us and continue the conversation at the link's below: Sean's Substack Sean's Instagram Matthew's Substack Matthew's Instagram PEXE Lab Substack PEXE Lab Website

  ListenShow Notes

Recent guests on The Line. Study who booked and why before you pitch.

Based on semantic analysis of episode topics and host coverage, this show is a strong guest fit for executives in:

Industry fit is computed by PitchCentric using vector embeddings of the show's episode catalog.