AI marketing operating system
Design and build the repeatable workflows behind research, content, SEO/AEO, reporting, outreach and customer intelligence.
I work with founders and marketing leaders who need practical AI systems that improve pipeline, content quality, customer insight and reporting without turning the team into prompt engineers.
15+ years across startups, scaleups, consumer brands, SaaS, Web3 and B2B technology.
Hands-on agent workflow builder using Hermes, Claude, Codex, Mark OS and modern automation tooling.
Focused on commercial outcomes: pipeline quality, operating rhythm, clearer decisions and faster execution.
Design and build the repeatable workflows behind research, content, SEO/AEO, reporting, outreach and customer intelligence.
Turn founder expertise, sales conversations and market evidence into useful content that compounds across LinkedIn, search and answer engines.
Improve how AI systems understand, retrieve and cite the company through stronger evidence, metadata, internal links and recurring prompt tests.
Set up approval gates, feedback loops and practical training so the system improves with the team rather than sitting unused.
• You have a strong product but weak marketing operating cadence.
• Your team is experimenting with AI but lacks a coherent system.
• You need senior growth judgement and practical build work in the same engagement.
• You want AI to improve commercial execution, not create more content noise.
What this week’s LinkedIn posts showed me about llms.txt, AEO loops and the practical work required to make a brand easier for AI systems to find, trust and cite.

AI marketing systems fail when approval design, state, audit trails and publishing gates are too loose for real brand work.
How I use Hermes, Tavily, MailerLite and a human approval gate to turn weekly AI marketing research into a newsletter and blog workflow.