Everyday AI Podcast – An AI and ChatGPT Podcast EP 628: What’s the best LLM for your team? 7 Steps to evaluate and create ROI for AI
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Oct 9, 2025 Discover how to effectively measure ROI on GenAI for your team with a seven-step evaluation framework. Learn the importance of selecting the right large language model and avoiding common pitfalls like shiny-object syndrome. Jordan discusses how to build realistic test datasets and configure your AI workspace for production. Plus, insights on regular retesting and keeping humans in the loop for reliability. Ready to maximize your AI integration? Tune in for expert tips on enhancing productivity and achieving sustainable results!
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Front-End Chatbots Are New Operating Systems
- Front-end AI chatbots are becoming AI operating systems where work happens, not just back-end APIs.
- Teams must evaluate models and modes together because modes (connectors, research, agents) enable real work.
Run A Focused Two-Week Sprint
- Plan a 2–4 week evaluation sprint and get written buy-in from exec sponsors, IT, security, and legal first.
- Freeze the model choice for the sprint and ignore shiny new features until the test ends.
Why Many AI Pilots Fail
- Common pilot failures: pilots run too long, lack of change management, no training, and missing baselines.
- Shiny-object syndrome and celebrating one lucky run also prevent reliable ROI from emerging.