Labarna AI, a venture architecture firm operating out of Dubai, has relocated Tristin Foster to its UAE headquarters to take on an expanded role covering product development, operator training, and quality assurance. Foster, who has worked alongside founder and CEO Steven Foster for three years, will now help scale the firm's agentic infrastructure platforms and train new team members as the company grows its operations.
The move gives Tristin Foster direct proximity to the team and technology decisions shaping Labarna AI's next phase. His responsibilities will span three areas: improving platform products, training new operators, and expanding the company's proprietary QA software.
From hands-on training to product input
Tristin Foster's path at Labarna AI did not follow a traditional route. Over three years, he worked directly on client delivery, system builds, testing, and daily operations. That experience now feeds into his product role, where he will help identify what to build next, pressure-test new features, and flag areas for improvement before platforms reach live client environments.
"Tristin has been working with me for three years - the day-to-day operations, client work, building systems, all of it," said Steven Foster. "He has earned more responsibility because he has put in the work. Now it is time for him to be here where he can contribute even more."
His product work is not about running development. It is about bringing operator-level experience into the build process, which matters for teams responsible for delivering platforms that must perform under real deadlines and contractual commitments.
Training operators and building QA automation
As Labarna AI expands, Tristin Foster will take a larger role in training new platform operators. The firm's systems require people who understand not just what the platforms are designed to do, but how they behave in daily use. That knowledge is hard to transfer through documentation alone, so he will work directly with new hires, walking them through internal processes and showing them how systems function in practice.
His QA responsibilities will also expand this fall. He will continue developing Labarna AI's quality assurance software and contribute to the autonomous agents being built to automate core QA functions. The goal is to encode his manual approach - spotting inconsistencies, identifying patterns, questioning whether something operates as intended - into the system itself.
"Tristin thinks analytically. He naturally looks for what is wrong, what can break, and what can be improved," said Foster. "The opportunity now is to take that instinct and build more of it into the technology, so the agents begin reflecting the same rigor and pattern recognition he brings manually."
For operations professionals, the practical lesson is that QA workflows can be codified into automated agents, but only after someone has spent real time observing how systems fail in production. That kind of knowledge transfer is relevant for any team looking to build AI for Operations capabilities internally.
Internal development over external hiring
Tristin Foster's promotion reflects Labarna AI's preference for developing people from within rather than recruiting externally. The company spent three years exposing him to client projects, platform development, and system testing. That investment means he arrives in Dubai already understanding the firm's technology, standards, and culture.
"Tristin has been part of the day-to-day for three years. He knows how we work, he understands what our clients need, and he has already made our systems better by catching errors and helping improve the experience for operators," said Foster. "Bringing him here isn't about a title. It's about putting him where he can contribute the most."
Tristin Foster acknowledges he still has more to learn. "I didn't take the traditional path, and I wouldn't trade it," he said. "I've spent three years learning by doing - watching what works, what breaks, and what it actually takes to ship something real. I'm not going to say I have all the answers because I don't. But I know the platforms, I know the process, and I know how to make things work better for the people who use them. I'm ready to take what I've learned and do more with it."
Why this matters for operations professionals
Labarna AI's approach offers a concrete model for operations teams building AI-assisted QA systems: the people who test platforms manually are often the best candidates to train the agents that automate that work. The firm is turning hands-on QA experience into product logic, which is a pattern operations leaders can apply to their own tooling. The same logic applies to AI for QA Managers training - the most effective automation starts with people who know where systems break.
Your membership also unlocks:
