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Agents fail. The useful part is figuring out why, catching it sooner, & making sure the next agent doesn't repeat the same mistake. Join fellow builders to compare what's working, see what others are building & share lessons from running agents in production.
Who it's for
Software engineers, AI/ML engineers, platform & infrastructure teams, & technical founders building, deploying, or debugging AI agents. Whether you're moving a prototype into production or already running agents with real users, come compare notes with other builders.
Agenda
5:30 - 6:00 PM - Check-in, food & networking
6:00 - 6:40 PM - Panel Session
6:40 - 7:00 PM - Builder demos: 4 attendee teams, 5 minutes each
7:00 - 8:00 PM - Networking & food
About the hosts
Oodle.ai - Observability built for agents. AI can't debug what it can't see. With Oodle, agents debug applications, infrastructure, & other agents with full context. Teams use it to build self-improving agents & catch failures early. One platform for full-stack & agent observability, built on object storage & serverless compute so you can store everything, query anything, & run sub-second agentic queries at 80% lower cost.
XTrace - Enable engineering teams to ship reliable software faster by turning lessons from individual coding sessions into shared knowledge & enforceable coding standards. It puts what one engineer learns to work across the team's AI coding agents, helping prevent repeat mistakes, reduce costly rework, & get new features to customers sooner.
Infron AI - Production inference infrastructure for AI applications & agents. Infron gives engineering teams one OpenAI-compatible API for 400+ models from 100+ providers, with routing & fallback through the same integration. Teams can test & switch models without rebuilding for each vendor, then route workloads across providers as reliability & cost requirements change. Eligible models are available at up to 35% off direct pricing, helping teams scale production inference with fewer infrastructure tradeoffs.
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