Meet the models: your four-AI stack | Master AI Automation in 4 hours Master AI Automation in 4 hours Course About Ayush Modules Sample chapter Toolbox The Microcap Minute Classroom / Module 01: What AI Actually Is / Chapter 4 Meet the models: your four-AI stack Watch first, then read. Same lesson, your pace. What you will learn – The four AIs this course uses, and each one’s specialty – Why specialists beat one generalist – How to switch between them without friction Why four? You don’t use a hammer for every repair. Same here: modern AI labs each sharpen their models differently, free tiers differ, and, most important for Module 7, separate brains cross-check each other better than one brain checks itself . This course standardises on four, chosen because together they cover every job you’ll meet, all have capable free tiers, and each has a clear personality: The stack AI Made by Its superpower Use it for Kimi Moonshot AI Overall everything + multi-agent swarms , strong general reasoning, huge context, agentic stamina Your daily driver: research, long documents, coding, and orchestrating teams of sub-AIs (Module 7) Claude Anthropic Strategising , careful planning, structured thinking, nuanced writing Plans before action: outlines, strategies, decisions, delicate emails, reviewing other AIs’ work Qwen Alibaba Running tasks , fast, tireless execution, strong multilingual + open-weight family Bulk work: formatting, extraction, translations, quick drafts, repetitive jobs at speed ChatGPT / OpenAI OpenAI Front-end work , polished UI output, custom GPTs, images/voice built in Anything user-facing: slides text, landing pages, polished documents, demos people see Read the table again slowly, because it encodes this entire course’s workflow philosophy: Claude decides → Kimi coordinates → Qwen executes → OpenAI polishes. Strategy first (what exactly are we doing?), orchestration second (who does which piece?), execution third (do the pieces), presentation last (make it beautiful). One AI playing all four roles is possible but slower and blinder, like one employee being CEO, manager, worker and designer simultaneously. Free-first, always Every one of these has a genuinely usable free tier today, and Module 4 adds two more free layers on top: Gemini’s free tier (Google), generous multimodal limits, great for heavy document work OpenRouter :free models , dozens of full-strength models at ₹0 through one account, usable inside terminal tools The rule from the course homepage repeats here: exhaust free options before money touches anything. Paid tiers buy speed and peak-hour capacity, nice, not necessary for learning. Switching without friction Two habits make multi-AI painless: Keep prompts portable. R-C-T-F prompts written properly work identically in all four. If a prompt only works in one app, it’s usually leaning on hidden chat context. One task, one tab. Don’t blend jobs across chats; carry finished artifacts between AIs instead (Module 7 builds this into a formal handover system). Try it yourself Run this identical prompt in all four: Explain APIs to me like I’m 12, in under 100 words. Line up the answers side by side. Notice the differences in style, depth and examples, that’s the personalities above, live. Then ask each: What are you best at, honestly? Save the four explanations to learn/model-comparison.md . This file becomes your reference when choosing who does what. Key takeaways – Four specialists beat one generalist: Kimi (all-round + swarms), Claude (strategy), Qwen (execution), OpenAI (front-end). – The pipeline, Claude plans, Kimi coordinates, Qwen runs, OpenAI polishes, previews Module 7. – Free tiers + Gemini + OpenRouter free models = a complete education at ₹0. – Portable prompts and clean handovers make switching AIs effortless. Download the exercise sheet (PDF) Module workbook (PDF) ← Prev: Hallucinations: confident nonsense and how to catch it Next: Set up your cockpit → Classroom / Module 01: What AI Actually Is /
Meet the models: your four-AI stack
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