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OWASP LA September [VIRTUAL] Meetup Santiago Castiñeira
TOPIC: From Prototype to Production: Building Reliable AI Tools
ABSTRACT: Every week there's a new story about a company replacing a whole workflow with a few prompts. Building with AI is one of the most exciting things happening in software right now, and we agree. It's why we built Maze. We knew it would be hard, but some challenges still surprised us. This session walks through what we learned, so you don't have to learn it the hard way. It's relatively easy to build a tool that works a few times. You prompt an LLM, iterate for a few rounds until it works, and ship the MVP. That's the 80% almost anyone can reach now.
So what does the last 20% look like? This is where most AI builds fall apart, and getting that last stretch of consistency and reliability right is what separates a demo that impresses from something your team can run in production. The same question, asked a few different ways, has to come back with the same answer every time. It has to hold up on inputs you never thought to test.
We'll walk through how Maze's own agents work now versus when we started building, covering:
How you check whether an agent is even reliable.
What it costs to run investigations at scale, and how we brought that down.
The data pipeline behind every agent that nobody warns you about.
How a newer model can walk in and break results you were sure of.
The mix of skills a project like this takes.
You'll leave able to judge your own build honestly, and be clearer on what the right path is for your team. Bring your questions and your skepticism.
Thanks to our SPONSOR: Maze
SPEAKER BIO: Santiago Castiñeira is the Co-Founder and CTO of Maze, the agentic reasoning platform for vulnerability management. He brings years of hands-on experience in the field and spent 15+ years building and scaling software in senior technical roles at Amazon, S&P Global, Monad Inc, and Jungle Robotics. He pairs deep engineering expertise with a track record of turning complex security challenges into products teams can use.
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