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Matt Buck

Full-stack engineering leader & generative AI expert

Matt Buck is a seasoned professional with over 17 years of experience in full-stack web development and conversational AI.

He co-founded Voxable, an agency specializing in conversational AI, which later transitioned into a venture-backed SaaS product.

Matt has worked with renowned brands like AT&T, Keller Williams, SXSW, and GoDaddy, designing and implementing top-notch conversational experiences.

As the co-founder and CTO of Voxable, he spearheaded the development of custom frameworks and generative AI features for notable projects like Abby and Ghostbot.

Matt is a prominent figure in the field, having spoken at conferences like SXSW on topics related to conversation design and development.

His educational background includes a Bachelor of Business Administration (BBA) in Management Information Systems from the Texas McCombs School of Business.

Throughout his career, Matt has held various positions in esteemed organizations like Emerge Haus, Rapid7, MakerSquare, Mass Relevance, PeopleAdmin, Capital Thought, OtherInbox, and more, showcasing his diverse skill set and expertise.

He is currently seeking new opportunities to leverage his proficiency in conversational AI, full-stack development using Ruby on Rails and JavaScript.

Highlights

Jul 2 · linkedin

I stopped listening to you right around, “auto-complete on steroids.”

Jun 21 · linkedin

Tempted to post about how #generativeAI is all smoke and mirrors? That nobody is actually able to articulate a use case for it that actually generates revenue?

Know that you are only telling on yourself with these posts. You are also wrong on the facts: plenty of teams are making money with generative AI. It turns out that there are indeed very many valuable use cases that arise when you've given software the ability to reason (and yes, it IS reasoning, even though that reasoning isn't happening in a 🧠).

I would even argue that LLM's are one of the most useful tools we've yet devised. Why's that? Because we don't even know everything that they are capable of! Each model release unlocks new abilities that have to be discovered through rigorous usage and testing. We're building a technology with the goal of being capable of any task, and each day it marches closer to that goal.

What I can tell you is that, as ever, you shouldn't let an editorial board determine what you think about a subject. Don't write off AI until you've used it yourself: assign it a task from your day-to-day work and see how it fares. Pay for that Pro version and really use the latest features.

And if you still can't think of a reason you or your team might find generative AI useful, let's chat!

Related Questions

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Matt Buck
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Location

Greater Pittsburgh Region