STOP Using One AI For Everything ๐Ÿ”ฅ

GenAI Geek ยท Intermediate ยท๐Ÿง  Large Language Models ยท2mo ago

About this lesson

Most people compare AI models like phones. Thatโ€™s why the results feel random. Claude, GPT/Codex, and Gemini are not interchangeable tools. They are different kinds of workers โ€” with different strengths, speeds, and failure modes. If you use the wrong model for the job: โ€ข Claude feels slow โ€ข Codex feels shallow โ€ข Gemini feels inconsistent Thatโ€™s not the modelโ€™s fault. Thatโ€™s a workflow problem. โธป In this video: We break down the top 3 AI models right now and show: โ€ข When to use Claude (deep reasoning & debugging) โ€ข When to use GPT/Codex (execution & speed) โ€ข When to use Gemini (long context & large inputs) No benchmarks. No hype. Just real-world usage. โธป โšก Key takeaway: The future is not one AI. Itโ€™s knowing when to switch.

Original Description

Most people compare AI models like phones. Thatโ€™s why the results feel random. Claude, GPT/Codex, and Gemini are not interchangeable tools. They are different kinds of workers โ€” with different strengths, speeds, and failure modes. If you use the wrong model for the job: โ€ข Claude feels slow โ€ข Codex feels shallow โ€ข Gemini feels inconsistent Thatโ€™s not the modelโ€™s fault. Thatโ€™s a workflow problem. โธป In this video: We break down the top 3 AI models right now and show: โ€ข When to use Claude (deep reasoning & debugging) โ€ข When to use GPT/Codex (execution & speed) โ€ข When to use Gemini (long context & large inputs) No benchmarks. No hype. Just real-world usage. โธป โšก Key takeaway: The future is not one AI. Itโ€™s knowing when to switch.
Watch on YouTube โ†— (saves to browser)
Sign in to unlock AI tutor explanation ยท โšก30

Related Reads

๐Ÿ“ฐ
Why You Donโ€™t Need a Huge AI Model to do Easy Work
Learn how to use smaller AI models for easy tasks by compiling fuzzy behavior with a big model and running it locally on a smaller model
Medium ยท AI
 ๐Ÿ“ฐ
Why You Donโ€™t Need a Huge AI Model to do Easy Work
Learn how to use smaller AI models for easy tasks by compiling fuzzy behavior with a large model and running it locally on a smaller one
Medium ยท Programming
 ๐Ÿ“ฐ
Pxpipe: The Token-Saving Hack That Turns LLM Context Into Images
Learn how Pxpipe reduces LLM input tokens by converting context into images, improving efficiency and reducing costs
Medium ยท LLM
 ๐Ÿ“ฐ
SwissText 2026: What We Learned at Switzerlandโ€™s Annual NLP Conference
Discover key takeaways from SwissText 2026, Switzerland's premier NLP conference, and learn about the latest advancements in agentic AI evaluation
Medium ยท NLP
Up next
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)
Watch โ†’