Instructions
Before you design anything, you need an honest map of what AI actually does well. This sounds obvious, but most founders skip it. They pick an idea, assume AI can handle the hard bits, and discover the limitations later — usually after spending months building something that doesn't work the way they imagined.
The common trap here is treating AI as a magic layer you can slot into any workflow. In reality, AI is remarkable in specific ways and genuinely unreliable in others. It excels at pattern-matching, drafting, summarising, and generating options. It struggles with accuracy on factual specifics, real-time data, nuanced professional judgment, and anything requiring accountability. In your specific niche, these strengths and weaknesses will show up in particular ways — and yo...
