[Workshop] Building Reliable AI Agents with Java and LangChain4j
Iskren Pushkarov
Yet... There is also a preconceived notion from many devs...
I've seen too many AI implementations fail...
Some say...
They work in demos, then crash in real scenarios...
Others complain...
Deep down, we have a gut reaction... "This AI stuff is unreliable. Don't trust it."
And you know what? This is not totally wrong...
Most AI agents ARE unreliable. They hallucinate. They break with edge cases.
They give different outputs for the same inputs.
Yet some teams are building AI agents that actually work in production.
The difference? They learned how to make them reliable first.
My friend Susanne spent some good time figuring this out...
She discovered that building reliable AI agents isn't about the AI part...
It's about the systems around it!
The monitoring. The fallbacks. Human oversight. The testing strategies that catch problems before customers do...
Susanne is running a workshop this Saturday: "Building Reliable AI Agents".
Not "Building Cool AI Demos"
Not "ChatGPT Integration in 30 Minutes"
Reliable. Production-ready. Won't-get-you-fired AI agents.
If your gut reaction is "AI is too unreliable for production", you might be right about many projects out there...
Yet... you might also be missing the opportunity to learn how to do it right!