How an Engineer and Founder Builds Energy-Efficient AI for Smarter Results

In this episode of How I AI, Dr. Alex Kihm, founder of POMA, explains a practical way to make AI more accurate while using less compute and energy. We talk about his path from early plug-in hybrid work in Germany to building tools that reduce waste and deliver more reliable results in everyday workflows. 

🔥 Topics We Cover:

•  How thoughtful data prep and retrieval improve answer quality with fewer tokens
• Why “made-up answers” happen and simple ways to curb them
• When smaller models can beat bigger ones in practice
• Where energy-aware design lowers costs for teams 

Tools and Platforms Mentioned:

•  Tools we mention include frameworks like POMA’s approach, plus platforms such as LlamaIndex, LangChain, Mistral, ChatGPT, and Claude 

Connect with Dr. Alex Kihm & Learn More:

• POMA
• POMA LinkedIn

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The AI Movement With Brooke is a weekly podcastexploring how AI is changing the way we build, create and make decisions.

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Disclaimer: This podcast is for informational and educational purposes only and does not constitute professional advice. Guest opinions are their own. Content is provided without guarantees of accuracy or results. Always verify information before acting. To the fullest extent permitted by law, Brooke Gramer, The AI Movement, and EmpowerFlow Strategies LLC disclaim liability arising from reliance on this content.