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 tokensWhy “made-up answers” happen and simple ways to curb themWhen smaller models can beat bigger ones in practiceWhere 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:POMAPOMA LinkedInReady to cut through the overwhelm?Grab a 30-minute AI Jumpstart Session and walk away with a clear plan to match the right tools to your goals so you can finally move forward with ease.Check out my free AI Starter Guide and get the basics explained simply so you can start using AI with confidence.For listeners ready to dive deeper into AI, The Collective offers a 7-Day Free Trial that includes the AI Mastery Challenge, a vault of advanced trainings, and recordings from past webinars. If you enjoy this episode, please rate and review the show. Sharing it with a friend who’s AI-curious helps this growing brand reach more people.Want to be featured? Apply at howiaipodcast.com Ready to cut through the AI overwhelm?Explore all my resources in one place → https://stan.store/BRXSTUDIOFree AI Guide • 45-Minute AI Audit • AI Community • Custom GPTMore About Brooke: Website: brookex.com LinkedIn: Brooke Gramer More About the Podcast: Instagram: howiai.podcast Website: howiaipodcast.com "How I AI" is a concept and podcast series created and produced by Brooke Gramer of EmpowerFlow Strategies LLC. All rights reserved.

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