Mar 17, 20262 minS1
<p>M6 L2 Stop Using Flagship Ai for Everything - Part 2</p>
education
AI Mastery for the Power User
Hosted by Facilitated By Clint Hartog Authored by AI Claude and Notebook LM · education · EN
21 episodesAudience: 3
About this Podcast:
AI Mastery for the Power User - We asked Ai to create a course for power users. And then got Notebook LM to create a podcast of the content. All 7 modules are broken up into lesson based segments.
Pitch Analysis
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Contact path
Verified email
Booking probability
34%
Guest openness
Selective
80/100
Required Score
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Signup to Generate a PitchQuestions about AI Mastery for the Power User
What is AI Mastery for the Power User about?
AI Mastery for the Power User - We asked Ai to create a course for power users. And then got Notebook LM to create a podcast of the content. All 7 modules are broken up into lesson based segments.
What has AI Mastery for the Power User covered recently?
Recent episodes include "M6 L2 Stop Using Flagship Ai for Everything - Part 2" (17 March 2026, 2 minutes), "M6 L1 Stop Using Flagship Ai For Every Task" (17 March 2026, 13 minutes), and "M5 L3 Stop Getting Generic Ai Responses" (17 March 2026, 38 minutes).
How often does AI Mastery for the Power User publish?
AI Mastery for the Power User publishes roughly daily, with episodes averaging 22 minutes across 21 episodes.
How hard is it to get booked on AI Mastery for the Power User?
Booking probability for AI Mastery for the Power User is 34%, and the host is rated Selective on guests. AI Mastery for the Power User requires a Pod Score of 80 or higher. AI Mastery for the Power User's contact route on record: verified email.
Who should pitch AI Mastery for the Power User?
The strongest fits for AI Mastery for the Power User are IT Services & Software Development and Business & Professional Training. AI Mastery for the Power User has an education audience.
About the host
AI Mastery for the Power User is an education podcast with 21 episodes published.
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Recent episodes
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.
Episode #20
M6 L1 Stop Using Flagship Ai For Every Task
Mar 17, 202613 minS1<p>M6 L1 Stop Using Flagship AI for Every Task</p>
Episode #19
M5 L3 Stop Getting Generic Ai Responses
Mar 17, 202638 minS1<p>M5 L3 Stop Getting Generic Ai Responses</p>
Episode #18
M5 L2 Closing the Ai Intent Output Gap
Mar 17, 202619 minS1<p>M5 L2 Closing the Ai Intent Output Gap</p>
Episode #17
M5 L1 Why your Ai is a people pleaser
Mar 17, 202630 minS1<p>M5 L1 Why your Ai is a people pleaser</p>
View More
- Mar 17, 202626 minS1
<p>M4 L3 Stop Ai Confabulation with Grounding Techniques</p>
Episode #15
M4 L2 FIve Signs your Ai is Hallucinating
Mar 17, 202635 minS1<p>M4 L2 FIve Signs your Ai is Hallucinating</p>
- Mar 17, 20262 minS1
<p>M4 L1 Stop Ai Hallucinations With Retrieval and Citations</p>
Episode #6
M1 L4 Why Your AI Talks Like That
Mar 17, 202640 minS1<p>M1 L4 Why Your AI Talks Like That</p>
Episode #7
M2 L1 Why your ai chatbot looses focus
Mar 17, 20262 minS1<p>M2 L1 Why your ai chatbot looses focus</p>
Episode #8
M2 L2 Move Ai instructions to the Bottom
Mar 17, 202617 minS1<p>M2 L2 Move Ai instructions to the Bottom</p>
- Mar 17, 202639 minS1
<p>M2 L3 Portable Context fo Multi Model Workflows</p>
Episode #13
M3 L4 Stop Guessing and Debug Your Prompts
Mar 17, 202638 minS1<p>M3 L4 Stop Guessing and Debug Your Prompts</p>
Episode #10
M3 L1 Anatomy of a High Performance Prompt
Mar 17, 202637 minS1<p>M3 L1 Anatomy of a High Performance Prompt</p>
- Mar 17, 202621 minS1
<p>M3 L2 Why prompts behave differently across models</p>
AI Mastery for the Power User
M3 L3 Five Universal Principles for Expert Ai Prompts
Mar 17, 202632 minS1<p>M3 L3 Five Universal Principles for Expert Ai Prompts</p>
- Mar 17, 202632 minS1
<p>M1 L3 Why Ai Ignores Instructions In The Middle</p>
- Mar 13, 20262 minS1
<p>M1 L2 How AI Temperature Controls Randomness</p>
Episode #3
M1 L1 Why AI reads tokens not words
Mar 13, 20262 minS1<p>M1 L1 Why AI reads tokens not words</p>
- Mar 13, 202622 minS1
<p>In depth overview of large language models.</p>
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