#learning
6 tutorials, projects and news items tagged learning.
Use when the user wants to learn AI Agents from scratch, asks where to start, wants beginner tutorial recommendations, or pastes a cwyz.com tutorial link and says 'walk me through this one'. First asks three multiple-choice questions about the user's goal, tools and computer, then picks suitable tutorials from CWYZ's free beginner path and tutorial list and walks through them step by step. The Agent runs the prompts in the tutorials and asks before installing software or spending money. When a section needs unlocking, it points the user to unlock it on the site with credits and does not work around it. It can save learning progress and suggest the next tutorial. Use case: One line: have your AI agent pick free CWYZ beginner tutorials for your goal and walk you through them step by step
Intermediate tutorial: Use one table to see the five layers of an AI product, from compute to agents, and decide how deep to go based on your target role. Then have your AI agent coach you with scenario questions about a product you know, run a side-by-side test of two options on the same task, and turn the results into a one-page trade-off report you can take to an interview. Includes 3 copy-ready prompts.
Learning something new used to mean getting through a steep entry phase first. Now you can have an Agent take you straight to a result. Fixed steps like commands and configuration can be written into a Skill and handed off, so you don't have to memorize them. But checking the result is something you always have to do with your own head.
An AI private tutor that works in stages: it helps you set testable goals, replaces lectures with mistakes and follow-up questions, and finally has you explain the material back to it to confirm you have really learned it.
Hand the tutorial to an Agent and it works through it to the end; you only confirm key steps such as logging in and paying, so learning and putting it into practice happen in one go.
Feedback from learner Feiwen: before, every problem meant searching everywhere, costing hours in total; now, opening an LLM clears up doubts in three minutes, and learning is much faster. We break down why it's faster, and how to use it to be both fast and accurate: give full context, ask one thing at a time, ask about the principle behind it, and verify the key points.
