I’m building Vect AI, an experiment in turning marketing execution into software instead of managing it through fragmented tools.
The idea behind Vect AI is a marketing operating system where campaign planning, content creation, SEO workflows, and distribution live in one coherent system. Rather than relying on one-off prompts or disconnected SaaS products, the system is designed around stateful workflows that retain context across tasks and campaigns.
Some principles that guided the build:
Replace multi-tool marketing stacks with a single execution layer
Focus on deterministic workflows instead of dashboards and reports
Treat SEO and content as compounding infrastructure, not just traffic sources
Use AI for planning and execution, not just copy generation
Vect AI started as a personal project to solve my own marketing workflow problems, but it’s turned into a broader exploration of how AI-driven systems can reduce operational overhead in SaaS growth and distribution.
Sharing this here to compare notes with others working on AI tools, marketing automation, or developer-first growth systems, and to discuss what works (and fails) when marketing is treated as software rather than process.
