AI agents seem to be everywhere right now, from customer support and internal operations to workflow automation. Building a working prototype is one thing, but getting it to perform reliably in a real production environment is often a completely different challenge.
I’m curious to hear from teams that have already deployed AI agents at scale.
What has been the biggest challenge you’ve faced? Has it been hallucinations, inconsistent outputs, tool integrations, monitoring, or something else entirely?
How are you tracking performance after deployment and making sure the agent continues to deliver reliable results over time?
Also, are there any lessons or best practices you’d recommend to teams that are just starting their journey with AI agents in production?
Would love to hear some real-world experiences from developers and AI practitioners.