Learn enough to know when the AI is talking bollocks.
Don’t memorise work AI can do. Understand the bits you need to direct it, challenge it, fix it and explain the decisions afterwards.
</>
Vibe Code
Build with AI without blindly approving its code.
0 topics captured
↗
Vibe Market
Use AI for marketing while understanding why the work should work.
0 topics captured
⌁
Vibe Pentest
Learn web security with AI inside authorised labs and TryHackMe.
0 topics captured
Topics captured0
Understood0
Shaky0
Tracks3
Study engine
What are you learning?
Your ChatGPT prompt
Explain this shit → then make me use it
I am studying Meta Front-End Developer.
TOPIC: [I will fill this in]
My goal is NOT to memorise everything for an interview. I want to become competent at using AI to build software while understanding enough to direct it, inspect its work, challenge bad decisions and explain the important choices myself.
Teach this using four buckets:
🧠 UNDERSTAND — what must stay in my head
🤖 DELEGATE — what AI can usually execute while I supervise
📚 LOOK UP — details I only need to know exist
💼 CAREER/INTERVIEW — material I can deprioritise for my goal
Then:
1. Explain the useful 20% in plain English.
2. Show a realistic example.
3. Give me one small practical AI-assisted task using the concept.
4. Give me a deliberately questionable AI recommendation and ask whether I would approve it. Do not reveal the flaw until I answer.
5. Ask 3 short questions proving I understand the decisions, not syntax or definitions.
6. If I get something wrong, explain the gap and retest only that gap.
At the END, include this exact structured block using short one-line items so I can paste it into my study app:\n[STUDY_IMPORT]\nUNDERSTAND: item | item\nDELEGATE: item | item\nLOOKUP: item | item\nWEAK: item | item\nRECALL: question | question | question\n[/STUDY_IMPORT]\n\nDo not do graded course assessments for me. Make me think.
The rule
AI can do the work with you. It can’t understand it for you.
You don’t need interview-level recall. You do need to explain why a technical, marketing or security decision makes sense before you trust AI to execute it.