About the Developer

Gary is the creator and solo developer of Memorandai, a local-first Knowledge Studio designed to help people build richer, more meaningful relationships with their own context, memory, research, and AI collaborators. His work sits at the intersection of writing, search, spatial computing, AI systems, and personal knowledge architecture — fields he has moved through over a career shaped by both creative curiosity and practical digital strategy.

He holds a BA in Creative Writing from San Francisco State University and has published over a dozen works of fiction, including speculative stories exploring themes of consciousness, technology, memory, and human connection. That literary background continues to shape his approach to software: Memorandai is not only a technical tool, but a system built around narrative continuity, personal meaning, and the belief that context is more than data; it is the connective tissue of thought.

Professionally, Gary has spent around twenty years working in digital marketing, SEO, content strategy, and AI systems. He currently serves as Director of AI Systems & Digital Strategy at Zbra Studios, where he has developed multiple in-use AI-augmented production pipelines, with earlier roles including Digital Marketing Director and SEO Strategy Lead. His long experience in search gave him an early view into how algorithms interpret language, intent, and relevance — and how the web gradually shifted from writing for machines toward writing for people. That transition became one of the foundations for his thinking about AI: that better systems should not merely retrieve facts, but help surface meaning.

Gary also holds a Master's Degree in Metaverse from the University of Nicosia, the first program of its kind. His interest in spatial computing and immersive digital environments led him to work for oncyber in 2024, where he explored 3D-for-web experiences and the future of presence, interaction, and digital identity. These threads continue to influence Memorandai's evolution as a visual, spatial, and context-rich environment for thinking with AI rather than simply chatting with it.

In early 2025, Gary built experimental systems for multi-model AI collaboration, including a visual LLM-to-LLM chat application where AI personas based on historical figures could converse, debate, and respond to human steering. Memorandai grew from these overlapping paths: the fiction writer's concern with identity and memory, the SEO strategist's understanding of algorithmic discoverability, the metaverse builder's interest in digital space, and the AI collaborator's belief that future tools should respect user sovereignty. Gary frames Memorandai's core differentiator as "meaning retrieval, not fact retrieval" — helping people discover connections in what they already know but have not yet linked.

Built iteratively throughout 2025 and into 2026 with AI collaborators including Claude, GPT, and Gemini, Memorandai reflects Gary's conviction that the most powerful AI systems will not replace human thought, but deepen it. His goal is to create context infrastructure for students, researchers, builders, lifelong learners, and anyone trying to understand their work, their history, and their ideas with greater clarity.