Hi HN,

I’ve been experimenting with AI tools for marketing and noticed a recurring failure mode:

AI is good at generating ideas and plans, but once the plan exists, execution still breaks down into manual steps, tool hopping, and half-finished workflows.

I’m building Vect AI to explore a different approach: treat AI as an execution layer, not just a reasoning layer.

Instead of “what should I do next?”, the focus is on:

turning decisions into workflows

reducing manual handoffs after planning

making execution boring, repeatable, and observable

This is still early and evolving, and I’m sharing it to get honest feedback from builders.

Project: https://vect.pro

(Index status for transparency: https://www.google.com/search?q=site:vect.pro )

I’d love input on:

where execution breaks most often after AI planning

whether this problem resonates in your own workflow

what would make an execution-first AI genuinely useful

Thanks for reading — happy to answer questions.