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Building AI apps is easy (thanks to tools like Cursor). Building AI apps that dont break in production is hard. Too many developers get stuck in the demo works, production doesnt cycle: slow inference, mysterious failures, & no clue whats happening when users hit their app.nThis meetup is about what actually matters: creating realtime experiences that keep users engaged, having visibility into problems before they escalate, & shipping agents that work reliably in the wild.nYoull learn how to:nMake inference fast enough that users stay engagednGo from a Python script to a shipped, cloud-deployed agent in minutesnBuild feedback loops that make agents reliable in productionnJoin fellow AI builders for practical insights, live demos, & real-world examples of how to move from hacky prototypes to production-ready agents.nnAgendan6:00 PM Doors Open & NetworkingnGrab a drink, meet fellow AI builders, & connect with the local community.n6:30 PM Talk 1: GroqnInference That Doesn't Keep Your Users WaitingnFrontier models bring powerful capabilities, but their latency & cost often make real-world deployment difficult. Groq will share benchmarks & demos showing how open source models now rival frontier intelligence while running orders of magnitude faster. Learn how leading teams are deploying production AI apps that deliver both speed & cost-efficiencyensuring users get the intelligence they expect without the delays or costs that kill adoption.n6:50 PM Talk 2: GooglenZero to Prod: Launching AI Agents in Minutes with ADKnTired of wrestling with infrastructure? Discover how Googles Agent Development Kit (ADK) helps you go from a local script to a live, cloud-deployed AI agent in minutes. This session will walk through building, testing, & shipping an agent:nCompose specialized agents & orchestrate them into workflowsnDebug reasoning steps in realtime with adk webnDeploy to the cloud instantly with a single commandn7:10 PM Talk 3: ArizenShipping Reliable AI Agents in the Real WorldnAgent development is moving fast, but production bottlenecks remain. This talk focuses on workflows to evaluate agent behavior, trace decision paths, & build iterative feedback loops so your agents improve with every deployment. Learn how to move beyond demos & start shipping agents that perform reliably at scale.n7:30 PM 9:00 PM Networking & Wrap-UpnContinue the conversation, swap notes with other developers, & meet the speakers
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