I’m a solo technical founder from India. Over the last year, I’ve been building Vect AI, an Autonomous Marketing Operating System.
This didn’t start as a startup idea. It started as frustration.
As a builder, I hated how modern marketing works:
One tool for SEO research
Another for writing
Another for images
Another for analytics
Zapier holding everything together
Endless prompt copy-pasting with no memory or context
Even with AI tools, marketing felt manual, fragmented, and stateless.
The core problem I tried to solve
Most AI tools are assistants. Marketing actually needs systems.
So instead of building another chatbot, I built a state-aware OS where AI agents:
Understand the business context
Share memory
Coordinate decisions
Improve outputs over time
What Vect AI actually does
Vect AI is an Autonomous Marketing OS that replaces a fragmented stack with coordinated agents:
Strategy Agent – Breaks down a market and plans campaigns
Research Agent – Analyzes live SERP, competitors, and gaps
Content Agent – Generates long-form, SEO-first content
Landing Page Auditor – Detects conversion leaks (copy, structure, UX)
Design Agent – Creates commercial visuals
Analytics Layer – Tracks what compounds and what doesn’t
All of this runs inside one persistent system — not isolated prompts.
What makes it different
Persistent memory across sessions
Agent-to-agent coordination (not single-step outputs)
Designed for founders, not marketers
Built to replace tools, not sit next to them
Current status
Live product
Used primarily by solo founders and small teams
Still early and evolving fast
I’m sharing this here to get honest technical and product feedback from builders who understand systems, not hype.
Happy to answer:
Architecture decisions
What failed during development
What worked surprisingly well
Where this approach breaks
Thanks for reading.
WoWSaaS•1h ago
I’m a solo technical founder from India. Over the last year, I’ve been building Vect AI, an Autonomous Marketing Operating System.
This didn’t start as a startup idea. It started as frustration.
As a builder, I hated how modern marketing works:
One tool for SEO research
Another for writing
Another for images
Another for analytics
Zapier holding everything together
Endless prompt copy-pasting with no memory or context
Even with AI tools, marketing felt manual, fragmented, and stateless.
The core problem I tried to solve
Most AI tools are assistants. Marketing actually needs systems.
So instead of building another chatbot, I built a state-aware OS where AI agents:
Understand the business context
Share memory
Coordinate decisions
Improve outputs over time
What Vect AI actually does
Vect AI is an Autonomous Marketing OS that replaces a fragmented stack with coordinated agents:
Strategy Agent – Breaks down a market and plans campaigns
Research Agent – Analyzes live SERP, competitors, and gaps
Content Agent – Generates long-form, SEO-first content
Landing Page Auditor – Detects conversion leaks (copy, structure, UX)
Design Agent – Creates commercial visuals
Analytics Layer – Tracks what compounds and what doesn’t
All of this runs inside one persistent system — not isolated prompts.
What makes it different
Persistent memory across sessions
Agent-to-agent coordination (not single-step outputs)
Designed for founders, not marketers
Built to replace tools, not sit next to them
Current status
Live product
Used primarily by solo founders and small teams
Still early and evolving fast
I’m sharing this here to get honest technical and product feedback from builders who understand systems, not hype.
Happy to answer:
Architecture decisions
What failed during development
What worked surprisingly well
Where this approach breaks
Thanks for reading.