Which AI Model to Use for Any Task Without Overpaying

Which AI Model to Use for Any Task Without Overpaying

For deeper playbooks and analysis: https://natesnewsletter.substack.com/


What's really happening when every AI model suddenly looks replaceable?


The common story is that model choice is the strategy, but the reality is that useful work comes from matching the model, the task, and the workflow surface.

In this episode, I share the inside scoop on how to pick AI models without turning model selection into the whole job.


Why daily-driver models are different from cheap workhorse models How to think about GLM, Kimi, Qwen, Claude, ChatGPT, and Codex What specialist tools are actually for Where harnesses and workflows matter more than raw model rankings Why fewer model choices can make teams faster


This is for operators, founders, developers, and team leads who need practical AI work to keep moving even when the model landscape shifts underneath them.

Subscribe for daily AI strategy and news.


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Hosted on Acast. See acast.com/privacy for more information.

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Episoder(153)

How to Trust AI Agents: Verify the Work, Not the Model

How to Trust AI Agents: Verify the Work, Not the Model

Multi-agent AI systems just went from research project to recipe. I ran 20+ AI agents across 4 model families to rebuild a website in one afternoon for about $8 — and the system caught every hallucina...

8 Jul 19min

Model Routing Is Table Stakes. Here's the Real AI Edge

Model Routing Is Table Stakes. Here's the Real AI Edge

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What's really happening when AI execution gets cheaper but everything starts to feel the same?The common story is that cheaper m...

5 Jul 15min

One Reusable AI Agent for Insurance, Taxes, and More

One Reusable AI Agent for Insurance, Taxes, and More

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What's really happening when an email/calendar agent becomes useful enough for real paperwork?The common story is that AI agents...

3 Jul 15min

How to Build Your Own AI Memory With Claude or Codex

How to Build Your Own AI Memory With Claude or Codex

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What's really happening when agents stop being generic chatbots and start working from your memory, skills, and owned context?Th...

1 Jul 16min

The AI Race Is Now About Context, Not Models

The AI Race Is Now About Context, Not Models

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What's really happening when every major AI story starts pointing at context instead of raw intelligence?The common story is tha...

29 Jun 17min

GLM-5.2 Is Cheaper Than Claude. Why You Still Can't Switch

GLM-5.2 Is Cheaper Than Claude. Why You Still Can't Switch

Cheap intelligence is here, but that does not mean the model is the bottleneck.In this briefing, I breakdown GLM 5.2, the cost pressure open-source models are putting on frontier labs, and why the nex...

28 Jun 17min

Make Your AI Agents Hand Off Work Without You

Make Your AI Agents Hand Off Work Without You

For deeper playbooks and analysis: https://natesnewsletter.substack.com/What's really happening when every AI tool becomes useful, but none of them know how to pass work to each other?The common story...

26 Jun 22min

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