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TokenMade - AI Use Cases

Christian Byza, Philipp Gloeckler

Wie setzen Unternehmen KI wirklich ein? Das zeigen Christian Byza und Philipp Glöckler jeden Dienstag und Donnerstag gemeinsam mit Buildern, die offen aus ihrem Arbeitsalltag berichten. Kein Pitch, sondern Screensharing mit konkreten Takeaways. Bewirb dich als Gast unter tokenmade.ai/demo

PublishesTwice weeklyEpisodes26Founded3 months ago
Language
German
Number of ListenersCategories
EntrepreneurshipBusinessMarketing

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Artwork for TokenMade

Latest Episodes

Sneak Peek auf unser Live-Event am 28. September in München. Die letzte Tickets gibts auf tokenmade.ai/events

Melchior Neumann kauft klassische Steuerkanzleien, die zwischen 40 und 80 Jahre alt sind, und automatisiert sie mit n8n, Claude un... more

Lust auf 100 Minuten KI-USE-CASE-DRUCKBETANKUNG in München? Auf tokenmade.ai/events gibt's die letzten Tickets für unser TokenMade Event in München am 28.09.2026!

Daniel Setzermann leitet bei HOLY die Teams CRM, Shop und Data/AI – davor hat... more

Sehen wir uns auf dem TokenMade Event in München am 28.09.2026? Hier geht's zum Event: tokenmade.ai/events

Christoph ist Betriebsleiter in einer Chemieproduktion. Sein Alltag bestand aus verknüpften Excel-Files, die jeden Monat neu angelegt... more

Fast kein Code von Hand geschrieben: Alexander Seipp, Chief Product Officer von Scalable Capital, zeigt, wie eine regulierte Bank Agentic Investing gebaut hat, fast ausschließlich mit Codex.

In dieser Folge lernst du:

- Aufzählungs-TextWie du dein ... more

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Reviews

4.4 out of 5 stars from 11 ratings
  • Mega Podcast

    Genau auf so ein Format habe ich gewartet. Danke, Jungs!

    Apple Podcasts
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    DomSenk
    Germany2 months ago

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These podcasts share a similar audience with TokenMade:

1. Doppelgänger
2. OMR Podcast
3. Kassenzone | CEO Interviews
4. Founder Mode
5. OMR Education

How many episodes of TokenMade are there?

TokenMade launched 3 months ago and published 26 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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