Descriptions:
Full model routing guide:
https://natesnewsletter.substack.com/p/which-ai-model-to-use?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
Every AI model suddenly looks replaceable, and picking the right one has turned into a second job. This video is a practical model picker: how to choose which AI to use for real work without overpaying or drowning in model names.
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What’s really happening when every AI model suddenly looks replaceable?
The common story is that the smartest model wins. The real question is which intelligence a specific job actually needs.
In this video, I share the inside scoop on how to pick the right AI for the work in front of you:
– Why daily-driver models differ from cheap workhorse models like GLM 5.2
– How to route familiar work to cheaper models and review it fast
– What to keep on a frontier model when the shape of the job is unclear
– Where specialists win: images, video, live web, and coding harnesses
The models will keep changing, but if you route by the job and keep your context portable, no single model going away can stall your work.
Chapters:
00:00 Why picking an AI model suddenly got hard
01:42 Start with the job, not the model
02:28 Where GLM 5.2 fits: familiar, repeatable work
03:25 When to pay for a frontier model
03:53 Your daily driver and why the harness matters
04:47 Fable-style problems that need the strongest model
05:40 Test any model on your own work first
06:13 Using AI at work: permission comes first
06:59 Small teams: route your five recurring artifacts
07:53 Specialists for images, video, and live web
09:51 What Coinbase, Cursor, and Lindy are actually doing
12:47 Five rules for picking a model
Listen to this video as a podcast.
Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372
