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Building an AI-Powered Event Platform for Persistent, Participatory Storytelling The Challenge: Immersive events often depend on skilled performers, tightly managed timing, and extensive behind-the-scenes coordination to make participants feel as though they are shaping a living story. Traditional event experiences usually follow one of two models. They are either highly scripted, with participants moving through...
Designing an AI Workspace That Preserves Context, Continuity, and Human Intent The Challenge: Most AI conversations are useful in the moment, but they are not designed to support work that develops across days, projects, decisions, and relationships. A user may have a productive conversation with an AI assistant, close the window, and return later to...
Building a Reusable Conversational AI Platform for Distinct Business and Experiential Use Cases The Challenge: Most conversational AI implementations begin as isolated chatbots built for a single website, audience, or business function. Intari was conceived as a joint venture between myself and my wife, Candice Roma, to solve a number of usecases where we saw...
Turning Operational Complexity into Clear, Actionable Leadership Insight The Challenge: Leaders cannot manage capacity, risk, or priorities effectively when critical work is scattered across disconnected systems and informal requests. As the volume and complexity of digital work increased, traditional project-management tools did not provide a complete picture of what the team was actually being asked...
How Reusable Systems Turned Static Landing Pages into Connected Campaign Experiences The Challenge: Marketing landing pages are often designed as isolated campaign destinations rather than as part of a larger digital ecosystem. A typical campaign page may contain a headline, a form, supporting copy, and a single call to action. That structure can be effective...
Turning an Enterprise AI Concept into an Executable Product and Operating Model The Challenge: Ambitious AI concepts often begin with a compelling vision but lack the technical, experiential, and organizational detail required to become real. Project Atlas originated as a broader idea for using artificial intelligence to improve marketing intelligence, institutional knowledge, workflow support, and...
Why Technical Teams Need More Than Tools to Keep Pace with Change The Challenge: Modern web teams are expected to learn faster than ever while continuing to deliver production work. The technologies, platforms, and expectations surrounding web development continue to evolve. Developers are no longer responsible only for writing code. They must also understand user...
Why Successful AI Adoption Begins with People, Not Technology The Challenge: When generative AI entered the workplace, the technology spread faster than most organizations could adapt to it. Employees began experimenting independently, discovering new tools, and sharing techniques with colleagues, but there was little consistency in how AI was being used or how its outputs...
Why Digital Transformation Starts with Strategy, Not Technology The Challenge: Large organizations rarely have a single website. Over time, they accumulate dozens of digital properties—corporate websites, blogs, campaign microsites, product pages, regional sites, landing pages, customer portals, and specialized business-unit experiences. Each is often built at a different point in the organization’s history using different...
Reinvesting in My Career to Understand the Future of Artificial Intelligence The Challenge: In late 2023, it became increasingly clear that generative AI represented more than another technology trend. It signaled a fundamental shift in how software would be developed, how knowledge work would be performed, and how organizations would create value. After more than...