Set up your cockpit | 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 5 Set up your cockpit Watch first, then read. Same lesson, your pace. What you will learn – The folder structure every project needs – Where prompts live so you never rewrite good ones – The two browser tabs worth pinning Pilots don’t start flights by searching for their glasses. Five minutes of setup now saves hours later. One: the folder Create this structure (Module 3 teaches the command-line way, for now, right-click → New Folder): ai-workspace/ projects/ ← one subfolder per real project prompts/ ← your personal prompt library (gold!) outputs/ ├── finished stuff worth keeping learn/ ← exercises from this course Why prompts/ matters most: every time a prompt works well, save it as prompts/exam-planner.txt . Within a month you own a personalised toolkit no subscription can sell you. Two: the accounts From Chapter 4, make sure all four are alive and bookmarked: kimi.com , your all-rounder and swarm driver claude.ai , strategy, plans, careful writing chat.qwen.ai , fast task-running chatgpt.com , front-end polish Plus one more for Module 4: openrouter.ai (create the free account now; thank yourself later). Use one password manager rule: these are tools, not banks, but still don’t reuse your email password anywhere, ever. Three: the habits Three small rituals that separate people who use AI from people who work with it: Name your chats. Eco-notes-extraction beats New chat 14 . Future-you can find things. One chat, one topic. Context windows (Chapter 2) get polluted; fresh topic deserves fresh chat. Save wins immediately. Great answer? Copy prompt + output into prompts/ . Do it in the moment; “later” means never. Try it yourself Build the four-folder workspace. Write one file inside learn/ : day0.md , containing three sentences about what you want this course to enable you to do. Then send the same test message to all four AIs (“Reply with just: ready”) to confirm logins work. Done, cockpit ready. Key takeaways – A fixed workspace ( projects / prompts / outputs / learn ) turns chaos into a system. – Your prompt library is your compounding asset; save every winner. – All four AIs + OpenRouter account = everything the rest of this course assumes. – Name chats, split topics, save wins. Download the exercise sheet (PDF) Module workbook (PDF) ← Prev: Meet the models: your four-AI stack Module 01 index → Classroom / Module 01: What AI Actually Is / Chapter 5 Set up your cockpit What you will learn – The folder structure every project needs – Where prompts live so you never rewrite good ones – The two browser tabs worth pinning Pilots don’t start flights by searching for their glasses. Five minutes of setup now saves hours later. One: the folder Create this structure (Module 3 teaches the command-line way, for now, right-click → New Folder): ai-workspace/ projects/ ← one subfolder per real project prompts/ ← your personal prompt library (gold!) outputs/ ├── finished stuff worth keeping learn/ ← exercises from this course Why prompts/ matters most: every time a prompt works well, save it as prompts/exam-planner.txt . Within a month you own a personalised toolkit no subscription can sell you. Two: the accounts From Chapter 4, make sure all four are alive and bookmarked: kimi.com , your all-rounder and swarm driver claude.ai , strategy, plans, careful writing chat.qwen.ai , fast task-running chatgpt.com , front-end polish Plus one more for Module 4: openrouter.ai (create the free account now; thank yourself later). Use one password manager rule: these are tools, not banks, but still don’t reuse your email password anywhere, ever. Three: the habits Three small rituals that separate people who use AI from people who work with it: Name your chats. Eco-notes-extraction beats New chat 14 . Future-you can find things. One chat, one topic.
Set up your cockpit
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