Context
Most marketing teams treat AI as a productivity add-on: paste into ChatGPT, copy the output, move on. That approach gets incremental gains. Restructuring operations to be AI-first gets you something fundamentally different.
At GravityKit, I led the effort to rebuild core marketing workflows around AI agents and automation, rather than retrofitting AI into existing processes.
My role
I designed and built the AI-first marketing infrastructure from the ground up: identifying the highest-leverage workflows, building the agents and automations to execute them, and creating reusable skills for repeatable deployment across tasks.
Actions taken
- Restructured marketing operations to be AI-first, replacing manual step-by-step workflows with agent-driven pipelines that handle multi-step tasks end-to-end.
- Built Claude-powered agents capable of executing complex marketing workflows — from research and planning through to content creation and analysis — with minimal human input.
- Developed and contributed reusable skills to the Claude skills marketplace, enabling consistent, repeatable execution of core marketing tasks.
- Cut implementation time for core marketing tasks by over 90%, compressing workflows that previously took hours into minutes.
Results
- Reduced implementation time for core marketing tasks by over 90%, turning multi-hour processes into minutes-long agent runs.
- Built a library of reusable Claude skills that bring speed and consistency to recurring marketing workflows.
- Freed up team capacity for higher-value strategic work by eliminating repetitive research and execution tasks.
- Established an AI-first operating model that scales output without scaling headcount.