I joined the Decentralized AI Security venture as the first marketing professional on the founding team. The company was building a decentralized, AI-enabled on-chain security protocol, but it had no established marketing function. The CEO had limited capacity to focus on marketing, so we developed the initial plan together and began building the foundations from a blank slate.
My remit covered early positioning, customer understanding, content, social-media execution, analytics and audience development. The central challenge was to create a coherent marketing function around a highly technical product while giving the company practical ways to learn from the market.
Finding the audience and the message
We outlined customer profiles, conducted market research and built a hands-on social-media strategy around regular content and message testing. The work was designed to identify where the product resonated, understand audience response and create a better-informed path toward product-market fit.
Rather than treating content as a publishing exercise, I used it as an operating tool. Each piece of communication was an opportunity to make the proposition clearer, test assumptions and learn which questions, objections and themes mattered most to prospective audiences.
Building an AI-assisted engagement system
The early content operation was supported by GPT-based workflows, scripts and bots across X and LinkedIn. As a solo marketing function, I looked for simple systems that could extend execution capacity without losing the feedback loop between the company and its audience.
One of the most useful tools was a reply bot that supported continuous organic audience development. The comments and replies around its activity became a source of qualitative audience intelligence, helping turn engagement into practical feedback on messaging and market interest.
Making technical security understandable
The product sat at the intersection of AI agents, node-running and Ethereum security: a technically demanding category that required active sensemaking and education. My focus was to translate those capabilities into simpler market language without stripping away what made the product distinctive.
That meant keeping content understandable, monitoring reader feedback closely and using education-led positioning to make a complex security proposition more accessible to a broader audience.
Installing the measurement foundation
During the first month, I prioritized the practical marketing infrastructure needed to make the work measurable. I installed and tested website pixels, scripts and analytics integrations, configured traffic measurement and Google Analytics dashboards, and carried out SEO research and optimization to inform the content foundation.
These systems connected website behavior, content performance and social feedback. They gave the company a more disciplined basis for deciding what to test next and for refining its positioning as the market responded.
What was established
The result was the venture’s first coherent marketing foundation: early positioning, content, social channels, audience-development mechanisms and measurable web infrastructure working as connected parts of the same system. It was a hands-on example of using AI, automation and market feedback to build marketing capability from zero.
The strongest result was the company’s new ability to observe, learn and improve across each audience touchpoint. A working audience-development mechanism, connected analytics and a repeatable feedback loop gave the venture a practical foundation for better positioning, content and future growth.