I’m building Vect AI, an execution-focused AI system designed to reduce the gap between “ideas” and “things actually shipped.”

While experimenting with AI tools, I noticed a pattern: most tools are good at suggesting actions, but weak at helping users finish real work. Context switching, manual steps, and fragmented workflows slow everything down.

Vect AI is an attempt to solve this by focusing on:

Execution-first workflows instead of prompt demos

Automating repeatable marketing and growth tasks

Treating AI as a system that does work, not just advice

I’m building this in public and iterating based on real usage and content feedback. For transparency, here’s what Google has currently indexed from the project: https://www.google.com/search?q=site:vect.pro

Project: https://vect.pro

I’d appreciate honest feedback from the community:

Where does execution break down most in your workflow?

What would make an AI system genuinely useful day-to-day?

What feels unnecessary or unclear?

Thanks for reading. Happy to answer questions.