AI as the competent junior

HTML prototypes are my favourite way to gather feedback — people can click around, which changes what they notice. I've also connected Claude to Figma for generating static wireframes, which cuts the early design loop significantly. From there it's a short step to interactive prototypes deployed on Railway, visible to the whole team.

Beyond prototyping, AI has taken over a big chunk of my documentation work in Confluence and Google Docs. PRDs, SOPs, meeting minutes — most of that manual pile is gone. The part that surprised me most: it keeps existing documents up to date, which was always the hardest job.

My working model: AI is a competent junior who needs precise instructions. Output quality scales directly with brief quality — which is just good BA practice applied to a new tool. You already know how to write clear requirements; that skill transfers. What I'm curious about: are people keeping their prompts reusable, or rebuilding from scratch each time?

Indexed and yours,
Zhenia