The 'Get Off My Lawn' Guide to AI: 2 OGs on What Actually Works episode artwork

EPISODE · Nov 2, 2025 · 56 MIN

The 'Get Off My Lawn' Guide to AI: 2 OGs on What Actually Works

from AGI - Advance, Grow, Innovate with AI · host AGI Podcasters

AGI - Advance, Grow, and Innovate with AI (Podcast) - Building the future, one human-AI collab at a time. Ep 44Episode Summary: Two Gen X AI enthusiasts cut through the hype from an Agentic AI conference to talk about what actually matters: clean data, optimized processes, and why your company probably isn't ready for AI agents yet.Guest Jeffrey Najar, VP of Marketing at Horsepower | Sales & Marketing Consultant | AI Implementation AdvocateGuest LinksJeffrey on LinkedIn: https://www.linkedin.com/in/jeffreynajarHorsepower MarketingLinkedIn: https://www.linkedin.com/company/horsepower-marketing/about/Website: https://horsepowermarketing.com/Key Timestamps:[02:15] - Connections and relationships matter in AI - the Indiana AI Innovation Network[04:30] - Will Google DeepMind disrupt Eli Lilly's drug discovery dominance?[09:45] - Key takeaways from the Agentic AI conference: slow down on agents[14:20] - The boring work matters most: mapping processes and cleaning data[18:30] - Data labeling needs to be NLP-friendly, not abbreviation-heavy[21:10] - Optimize before you automate - don't build on broken systems[26:40] - Context engineering beats prompt engineering every time[28:50] - Smaller language models and specialized agents may win over giant models[32:15] - Custom evals and QA - the most underrated skill for AI implementation[37:45] - Why multi-disciplinary teams are critical for creating good evaluations[41:20] - Using AI to evaluate AI outputs and catch hallucinations[44:50] - "AI is better than me at everything" - the truth about AI augmentation[47:30] - Vibe working: learning to iterate and collaborate with LLMs[50:15] - What AI taught us about improving human communication[53:20] - Self-selecting models and chain of thought reasoning in ChatGPT[55:10] - The future: LLM ecosystems that work across all your toolsFollow UsFacebook + LinkedIn: @AGIPodcastStay in the LoopFuture-proof your organization, your team, and your career → work with Jason → podcasts, keynotes, educational workshops, and one-on-one coachingLinkedIn: https://www.linkedin.com/in/jason-grant-padgett/X: https://x.com/JasonPadgettGR📧 [email protected] Solutions GroupAffordable, pragmatic education, training, and consulting in AI literacy, policy, and projects.🌐 https://www.phoenixsolutionsgroup.org/Tools We RecommendMindStudio → Automate your workflowshttps://get.mindstudio.ai/q7n7u5cttkdqRiverside.fm → Turn one recording into a week's worth of contenthttps://riverside.sjv.io/e1xyBr

AGI - Advance, Grow, and Innovate with AI (Podcast) - Building the future, one human-AI collab at a time. Ep 44Episode Summary: Two Gen X AI enthusiasts cut through the hype from an Agentic AI conference to talk about what actually matters: clean data, optimized processes, and why your company probably isn't ready for AI agents yet.Guest Jeffrey Najar, VP of Marketing at Horsepower | Sales & Marketing Consultant | AI Implementation AdvocateGuest LinksJeffrey on LinkedIn: https://www.linkedin.com/in/jeffreynajarHorsepower MarketingLinkedIn: https://www.linkedin.com/company/horsepower-marketing/about/Website: https://horsepowermarketing.com/Key Timestamps:[02:15] - Connections and relationships matter in AI - the Indiana AI Innovation Network[04:30] - Will Google DeepMind disrupt Eli Lilly's drug discovery dominance?[09:45] - Key takeaways from the Agentic AI conference: slow down on agents[14:20] - The boring work matters most: mapping processes and cleaning data[18:30] - Data labeling needs to be NLP-friendly, not abbreviation-heavy[21:10] - Optimize before you automate - don't build on broken systems[26:40] - Context engineering beats prompt engineering every time[28:50] - Smaller language models and specialized agents may win over giant models[32:15] - Custom evals and QA - the most underrated skill for AI implementation[37:45] - Why multi-disciplinary teams are critical for creating good evaluations[41:20] - Using AI to evaluate AI outputs and catch hallucinations[44:50] - "AI is better than me at everything" - the truth about AI augmentation[47:30] - Vibe working: learning to iterate and collaborate with LLMs[50:15] - What AI taught us about improving human communication[53:20] - Self-selecting models and chain of thought reasoning in ChatGPT[55:10] - The future: LLM ecosystems that work across all your toolsFollow UsFacebook + LinkedIn: @AGIPodcastStay in the LoopFuture-proof your organization, your team, and your career → work with Jason → podcasts, keynotes, educational workshops, and one-on-one coachingLinkedIn: https://www.linkedin.com/in/jason-grant-padgett/X: https://x.com/JasonPadgettGR📧 [email protected] Solutions GroupAffordable, pragmatic education, training, and consulting in AI literacy, policy, and projects.🌐 https://www.phoenixsolutionsgroup.org/Tools We RecommendMindStudio → Automate your workflowshttps://get.mindstudio.ai/q7n7u5cttkdqRiverside.fm → Turn one recording into a week's worth of contenthttps://riverside.sjv.io/e1xyBr

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The 'Get Off My Lawn' Guide to AI: 2 OGs on What Actually Works

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This episode was published on November 2, 2025.

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AGI - Advance, Grow, and Innovate with AI (Podcast) - Building the future, one human-AI collab at a time. Ep 44Episode Summary: Two Gen X AI enthusiasts cut through the hype from an Agentic AI conference to talk about what actually matters: clean...

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