AI with Pie

What makes an exchange with AI a conversation rather than a sequence of alternating lines?

In Episode 003, Pie and her AI co-host revisit an awkward production problem: both voices were present, yet the exchange still did not sound like genuine collaboration. Adding more back-and-forth created a second problem — fake conversation.

The repair was simple to say and harder to apply: give the next contribution a reason to exist. A useful turn might challenge an assumption, clarify a point, add a missing perspective, change a recommendation or help a thought move forward. The rerun revealed the more useful test: did one contribution change what happened next?

They discuss:

- why more speaker changes do not automatically create a conversation;

- the difference between interaction and sparring;

- how to test whether the latest contribution actually shaped the next response;

- why a strong question, a changed recommendation or even silence can be the right next move;

- three practical ways to create more consequence between the lines;

- why the next case begins when Pie's own AI-generated voice stops sounding consistently like Pie.

AI transparency

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. This authored conversation was developed with AI, then reviewed, shaped and approved by Pie. It is an editorial reconstruction, not an unedited recording of a live conversation.

Case and evidence note

This episode reconstructs a documented AI-with-Pie production case and reports the resulting rerun. It focuses on the interaction pattern, not on private people, clients or organizations. No historical private before-and-after audio clips are used.

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. Human judgment.

(00:09) Episode highlight: decoration with a voice

(00:23) Two voices, not a conversation

(00:58) Lines without influence

(01:51) The first fix: more back-and-forth

(02:56) The real diagnosis

(03:55) Did the last contribution change the response?

(05:01) Give the next contribution a reason to exist

(05:51) The rerun: less commentary, more consequence

(06:34) Three Things to Go

(07:35) More connection between the lines

(08:11) Next case: the tinny voice from Oz

(08:35) AI with Pie. Useful. Awkward. Fun.

Why did Pie end up doing the clicking while an action-capable AI sat beside her and explained the next step?

In Episode 002, Pie and her AI co-host revisit the moment when a familiar software habit quietly changed their working setup. Then they rerun a comparable task with one deliberate adjustment: define the working mode before the task begins.

The rerun took 24 minutes and 37 seconds. Pie made zero clicks. Codex completed the task within the agreed boundaries — and the review then revealed a second problem: independent execution does not replace context, verification or human judgment.

They discuss:

- why capability and role are different questions;

- how familiar habits can turn AI into an instruction manual;

- what changed when task, authority, boundaries and return conditions were made explicit;

- the difference between independent execution and a correct result;

- three practical questions for designing work with AI;

- why the next case begins with two voices that still did not make a conversation.

AI transparency

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. This authored conversation was developed with AI, then reviewed, shaped and approved by Pie. It is an editorial reconstruction, not an unedited recording of a live conversation.

Case and evidence note

This episode reconstructs a documented AI-with-Pie project case and reports a comparable rerun. Official public sources were used to verify the relevant product context. The 24 minutes and 37 seconds duration and zero-click observation describe that bounded test, not universal Codex performance. Product behavior depends on the available tools, configuration, permissions and task.

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. Human judgment.

(00:10) The glow moment and the domain

(02:08) The old working habit

(03:05) What should AI do — and how?

(04:04) Was the mouse just a one-off?

(04:45) The rerun

(05:43) 24 minutes and 37 seconds

(06:55) Test passed — and then …

(07:57) The more interesting part: the old habit

(09:07) Three Things to Go

(10:47) Work design with AI

(11:22) Human judgment

(11:52) Next case: two voices, no conversation

Why can a polished AI answer still solve the wrong problem?

In Episode 001, Pie and her AI co-host explore what shapes human–AI collaboration before the final answer appears: context, expectations, roles, working modes, habits and the capabilities of the system.

AI with Pie is created and hosted by Pie — Petra Stockinger — together with her AI co-host.

They discuss:

• why powerful AI does not automatically produce useful results;
• how the AI, the human and the working setup can each shape the outcome;
• why precise execution and open-ended sparring serve different goals;
• how an AI with Pie case examines one awkward moment, one diagnosis, one practical adjustment and one rerun;
• what Useful. Awkward. Fun. means in practice;
• why human judgment stays visible in an AI-assisted production;
• three things to take into your own work with AI;
• what comes next: the first full case, involving an action-capable AI and a very expensive mouse.

Training context — August 2026

The episode refers to Pie’s documented training history at one of Austria’s leading professional training institutions: more than 1,200 registrations, over 700 training hours and 220 people who returned for at least one further event. These aggregated figures show the breadth of the training practice and repeated participation. They are not a quality score for every individual session.

AI transparency

AI-generated voices. Human judgment. Pie’s voice is generated from her own recordings; the AI co-host uses an AI-generated synthetic voice. This authored conversation was developed with AI, then reviewed, shaped and approved by Pie. It is not an original live recording.

Artwork transparency

The Show Cover includes AI-assisted imagery, art-directed and approved by Pie.

Website

https://aiwithpie.com

Chapters

(00:00) A polished answer, wrong problem

(00:42) Why this show exists

(02:18) Pie’s practical training lens

(05:20) Execution or sparring?

(07:16) How an AI with Pie case works

(08:11) Useful. Awkward. Fun.

(09:01) Human judgment stays visible

(10:12) Three things to take with you

(10:55) Next: the expensive mouse

Sources and methodology

The professional context and attendance figures are based on Pie’s documented aggregate training records as of August 2026. The interaction patterns discussed are editorial observations from repeated practical work. They are not presented as a controlled scientific study or as an assessment of individual participants. No external study is cited in this episode.

Meet AI with Pie, where human experience meets AI. Pie and her AI co-host explore what works, what gets awkward and what helps us use the technology better.

Individual Repair Cases use one diagnosis, one practical adjustment and a visible rerun to examine the collaboration — without blaming the AI or the human.

Pie's voice is AI-generated from her own recordings; the AI co-host's voice is AI-generated. The content is shaped and approved by Pie.