Captain Tyre Richards

Captain Tyre Richards is the founder of Island Intel. He lives and works as a captain in Honolulu, serving companies across the island and nationwide with simple, custom solutions tailored to each business's operational problem — or problems.

Engineering the future with AI

For two years — going on three — that work has gone far beyond using AI tools. Tyre identifies a real-world problem, breaks it into a system, and engineers a practical solution with AI, automation, and modern software. Using the tools is not the credential. Directing them until the output is a product is.

He has designed AI-powered systems for businesses in hospitality, tourism, rentals, real estate, customer service, and other service industries. The question is always the same: What is the actual problem, and how can technology eliminate or dramatically improve it?

That includes AI voice agents, conversational AI, CRM, automated messaging, lead management, booking systems, customer follow-up, process automation, and integrations across platforms. The bench includes n8n, Claude, OpenAI's highest-tier GPT models, GoHighLevel, Hexona Systems, Zapier, Twilio, TalkRoute, FareHarbor, Otter.ai, Calendly, Cursor, Firebase Studio, ElevenLabs, Symphony, Toonbee, Lovable, and video-generation tools — used as components of a larger system, not a logo wall.

One focus is AI-assisted software development. With Cursor and current models, he can move from a business problem to a working technical solution faster than a traditional build often allows: prototype, test, debug, iterate, and keep reasoning through the architecture while the system takes shape.

In one case, he identified a problem around after-hours rental returns and built a more reliable way to track and manage them. In another, he worked on an AI voice system so a tourism company could answer around the clock, automate the conversation, and connect those interactions to customer and booking workflows.

Those projects taught a simple rule: successful AI is rarely “add a chatbot.” The real opportunity is redesigning the system behind the business.

That means seeing how information moves, where bottlenecks sit, where staff burn time, where customers fall through the cracks, and where automation can make the experience better — then designing the workflow that connects those pieces.

Years in maritime operations, customer-facing businesses, tourism, and entrepreneurship give him a different view than someone who has only worked in technology. Systems have to hold up with real customers, real employees, real constraints, and real consequences when something breaks. That operational experience is how he engineers.

He does not build because something is technically possible. He builds because it should solve a problem, save time, increase revenue, reduce friction, improve communication, or create a better system.

The skill set sits at the intersection of artificial intelligence, software development, automation, business operations, and entrepreneurship. He is especially interested in AI systems engineering: combining models with software, APIs, automation platforms, databases, communications, and business process so the result is autonomous or semi-autonomous — useful infrastructure, not a demo.

He keeps expanding the bench: new models, APIs, automation platforms, and architectures. The goal is not only to keep up with AI. It is to understand how to engineer it into something a company can actually run.

Ultimately, he considers himself a builder. He takes problems apart, understands how the pieces interact, uses AI to accelerate development, and puts those pieces back together into systems people can use.

AI is the technology. Engineering is the process. Solving meaningful problems is the objective.