Cool AI skills which you should not miss
2026-10-09T20:48:01Z openrouter_free google/gemma-4-31b-it
The author of CoolDeep AI argues that users often fail by chasing advanced tools instead of mastering fundamentals. He outlines essential AI skills, including adopting an AI-first mindset, maintaining skepticism, providing detailed context through structured prompting, and using AI to supplement expert knowledge.
The author of the CoolDeep AI newsletter argues that most AI users fail because they chase advanced tools and automation while skipping the fundamental skills required to use AI effectively. Drawing from personal experience of building and selling a successful AI company without a technical degree, the author emphasizes that a strong foundation is the current competitive edge that will eventually become basic knowledge for everyone. The core of the article outlines a strategic approach to AI adoption through a series of essential skills. Key skills include shifting one's default reaction to problem-solving by consulting AI before Google, and maintaining a healthy skepticism to avoid hallucinations by verifying all AI-generated facts. The author provides a specific prompting framework consisting of Task, Additional Information, Constraints, and an Ask for clarifying questions to ensure high-quality output. Furthermore, AI should be used as a tool for self-education to make interactions with human experts more strategic and efficient, rather than as a total replacement for professional expertise. Finally, the author suggests treating AI like a new employee, providing continuous feedback and context over time to improve its performance. A sophisticated technique mentioned is the creation of feedback loops, where one AI instance is used to grade the work of another based on specific criteria, ensuring a high standard of quality before the final output is delivered. The overall conclusion is that mastery of these foundational habits and mental models is more valuable than the mere adoption of new AI tools.