AI with Pie

Pie

AI with Pie explores what happens when human experience meets AI — what works, what gets awkward and what helps us use the technology better. AI with Pie is created and hosted by Pie — Petra Stockinger — together with her AI co-host. The AI co-host uses a synthetic AI voice; Pie uses her own authorized AI voice model. Real interactions, practical Repair Cases and honest experiments show how context, roles, expectations and capabilities shape the outcome. No magic-prompt theater. No blind trust. No AI-bashing. Human judgment stays visible — with enough humor to keep the learning memorable.

  1. Oct 25

    EP 010 — AI Keeps Getting Better. Is My Judgment Keeping Up?

    Content note: This episode briefly mentions suicide in connection with AI conversations. No methods or detailed circumstances are described. Why this matters to Pie: “I’m excited about what AI makes possible. That’s precisely why I care about discussing its risks, especially when people turn to it in emotionally difficult moments. Through my training sessions and this podcast, I want to help us make the most of AI while recognizing when validation can narrow our judgment and when human support is needed.” AI-generated voices. Human judgment. Pie’s voice is generated from her own recordings with her consent; the AI co-host uses an AI-generated synthetic voice. Every episode is shaped and approved by Pie—the human behind AI with Pie. AI keeps getting better. How do we keep our judgment sharp when an answer feels reassuring? A question Pie asked at AI Next in Dubai leads into a fictional example about canceled appointments, assumptions, and boundaries. We distinguish acknowledging a feeling from endorsing an interpretation, examine research on excessive agreement, and offer three concrete ways to make the exchange more useful. Earlier episode: EP009 — Six Pages. And I Was Blown Away.. Background, goals, examples, and constructive challenge already feature in that episode; here we apply that preparation to personal conversations. Sources and further reading The 2025 Top-100 Gen AI Use Case Report, pp.1/3. Curated public accounts, mainly Reddit; not a representative survey or evidence of therapeutic effectiveness. HBR article.Cheng et al., Science, 2026. Experimental findings on excessive agreement and interpersonal judgment; not a claim about every AI conversation.MIT Media Lab, longitudinal chatbot study, 2025. Heavier voluntary use was associated with worse outcomes. Association does not establish causation; assigned experimental conditions showed no significant effects.Raine complaint and OpenAI’s response. Opposing-party accounts, not a judgment or established causal finding. Sensitive legal material; no methods or private case details are discussed in the episode.WHO: suicide prevention and multiple risk factors. In immediate danger, contact local emergency services or an emergency department. AI is not a substitute for professional crisis support.Dr. Bock Institute, current successor institution/program information. Pie refers to her earlier business-coaching training at the Dr. Bock Coaching Academy, not a psychotherapy qualification or the current program’s credential.Pie’s microphone question is recalled in substance, not quoted from a recording. No other participant’s reply is used. Training observations are personal; the canceled-appointment example is fictional. Independent research is not presented as conference conversation content. A Personal Note about Pie’s February2025 experience of AI support is planned for early2027. No fasting advice or health claims. Visit aiwithpie.com. The show cover includes AI-generated imagery, art-directed and approved by Pie. Chapters 00:00:00 A second opinion 00:00:25 A brief content note 00:00:35 A question at AI Next 00:02:27 Two canceled appointments 00:05:10 When agreement shapes judgment 00:05:59 Preparing the collaboration 00:07:13 Is the conversation helping? 00:09:01 The limits of AI support 00:09:17 Three Things to Go 00:10:14 What comes next

  2. Sep 12

    EP 005 — When AI Helps — Until It Doesn’t

    AI-generated voices. Human judgment. Pie’s voice is generated from her own recordings with her consent; the AI co-host uses an AI-generated synthetic voice. Every episode is shaped and approved by Pie—the human behind AI with Pie. A useful answer can make the next handoff feel easy. But what, exactly, are you trusting AI to do? Pie and her AI co-host examine a dated GPT-4 experiment, challenge the leap from a good result to a bigger decision, and offer three practical ways to keep the help without skipping the evidence. This is not a review of today's models. Case and evidence note This is a scripted editorial conversation, not a recording of study participants. The episode discusses a 2023 randomized experiment and distinguishes the reported findings from AI-with-Pie interpretation and practical advice. Research: Dell'Acqua et al., Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality, Organization Science. https://doi.org/10.1287/orsc.2025.21838 Artwork transparency The Show Cover includes AI-assisted imagery, art-directed and approved by Pie. Website https://aiwithpie.com Chapters (00:00) AI-generated voices. Deliberate human direction. (00:12) Episode highlight: same model, different task (00:18) Faster, better work—and the next job (00:39) What was actually tested (01:10) A useful tool, a tempting conclusion (02:09) The turn: when AI hurt accuracy (03:07) Where confidence gets ahead of the check (04:09) A better handoff (05:05) Three Things to Go (05:54) Follow AI with Pie (06:00) AI with Pie. Useful. Awkward. Fun.

About

AI with Pie explores what happens when human experience meets AI — what works, what gets awkward and what helps us use the technology better. AI with Pie is created and hosted by Pie — Petra Stockinger — together with her AI co-host. The AI co-host uses a synthetic AI voice; Pie uses her own authorized AI voice model. Real interactions, practical Repair Cases and honest experiments show how context, roles, expectations and capabilities shape the outcome. No magic-prompt theater. No blind trust. No AI-bashing. Human judgment stays visible — with enough humor to keep the learning memorable.