How can a non-programmer start building things with AI?
Marketing background, zero code. I keep reading about people building apps with AI assistance. What can someone like me realistically build, and where do I start?
42 questions · 0 followers
Everything people are asking about AI — how large language models work, prompting, AI tools, jobs and the limits of what AI can really do.
Marketing background, zero code. I keep reading about people building apps with AI assistance. What can someone like me realistically build, and where do I start?
I want to paste work documents in for summarising but I'm not sure what happens to that data. What should I be careful about?
Seeing courses selling 'prompt engineering certification' for serious money. Is this a real career skill or a temporary gold rush?
People use ChatGPT the way they used Google. Are they doing the same thing differently, or are they fundamentally different tools?
My university is using an AI detector and a friend got flagged for work they wrote themselves. How accurate are these tools actually?
There's a new model or tool every week and I feel permanently behind. What's a sustainable way to stay current?
I've been fooled twice now. Are there reliable signs to look for, or is that already a lost cause?
First-year CS student having a small existential crisis. Copilot writes half my assignments already. Am I investing four years into a dying career?
I want a chatbot that can answer questions about my products from my own documentation. What's the actual approach in 2026?
I keep seeing job listings for prompt engineers with high salaries. Is this a genuine long-term skill or a temporary bubble?
It gave me three academic citations that don't exist and sounded completely sure. How do I know when to trust it?
I asked three AI tools the same thing and got three different answers, one of which was wrong. Why isn't there one correct answer?
I get asked to explain what AI is and I either oversimplify to uselessness or lose them in jargon. What actually lands?
Enormous amounts are being invested. Beyond selling subscriptions, what are the real business models here?
I want an intuition for what's happening inside a neural network without the calculus. How does adjusting numbers turn into learning?
I've seen wildly different claims about AI's energy and water use. What's the realistic picture?
Generative AI seems to be treated as a new thing entirely. What changed compared to the AI that already existed in products?
These three terms are used interchangeably in every article. Are they the same thing or is there a real hierarchy?
I'm building something with an LLM and people keep suggesting fine-tuning. When is it actually worth it versus just writing a better prompt?
My results are generic and shallow compared to what other people seem to get. What actually makes a prompt good?