I built an autonomous marketing command center designed around AI agents that plan and execute real marketing workflows, not just generate one-off outputs.
The goal was to reduce the manual work founders and small teams do across research, campaign planning, copy, and visuals by letting agents handle multi-step execution with persistent context (brand voice, audience, and objectives).
A few design choices that may be interesting to this crowd:
Agent-based workflows instead of prompt-driven chats
State awareness across sessions (brand and strategy persist)
Focus on organic growth systems (SEO, distribution) rather than ads
Built as a cohesive system, not a bundle of disconnected tools
I’m sharing this primarily to get feedback from builders and operators.
For transparency, I’ve also listed the project externally so the full technical and product context is visible in one place:
https://flippa.com/12205760-vect-ai-is-an-autonomous-marketi...
Happy to answer technical questions, architecture decisions, or trade-offs I made while building it.
