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The "Simple Wins" Formula for AI Model Workflow Success! #ai #artificialintelligence #aimodels
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The "Simple Wins" Formula for AI Model Workflow Success! #ai #artificialintelligence #aimodels

How to Adopt New Models in Your Workflow

Understanding Model Adoption

  • The speaker discusses the importance of adopting new models into workflows, emphasizing that this will be a significant topic for 2026.
  • Many people evaluate new models superficially, often relying on benchmark charts or clever prompts, which leads them back to default tools like ChatGPT.
  • The key evaluation criterion should be whether a model can provide simple, tangible wins that are useful on a daily basis.

The Concept of Simple Wins

  • "Simple wins" is described not just as a productivity slogan but as a discipline essential for navigating the future of AI.
  • This approach helps avoid turning model choices into identity conflicts (e.g., Mac vs. Windows), focusing instead on practical outcomes and real bottlenecks at work.
Video description

My site: https://natebjones.com Full Story: https://natesnewsletter.substack.com/p/grab-the-5-prompts-i-use-to-discover?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true My substack: https://natesnewsletter.substack.com/ _______________________ Why is it so hard to figure out which models work for which job? Because models have gotten 100x more complex and difficult to assess in the last year. In this video, I share the inside scoop on routing LLMs into daily workflows with a “simple wins” discipline: • Why benchmarks and dopamine prompts don’t translate to work • How to test AI agents with real work packets • What each model optimizes: bandwidth, artifacts, persuasion • Where interfaces, harnesses, and ergonomics change outcomes The takeaway: for teams and operators, the risk isn’t “choosing wrong,” it’s chasing the smartest model instead of locking in repeatable automation wins that ship cleanly into the artifacts your org already runs on. Subscribe for daily AI strategy and news. For deeper playbooks and analysis: https://natesnewsletter.substack.com/