AI Engineering The Branches Between Prompt And Outcome (VIRTUAL)

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IN-PERSON ATTENDEES!!! IF YOU ARE ATTENDING IN-PERSON THEN PLEASE GO TO THIS LINK INSTEAD https://www.meetup.com/dallas-software-developers-meetup/events/312883849/ The gap between an impressive AI demo and a powerful enterprise solution isn't the prompt. It's everything we engineer between the prompt and the outcome. AI demos make development look like a straight line: enter a prompt, watch an agent work, and celebrate the result. But enterprise engineering is anything but a straight line. Between intent and execution are critical architectural decisions: how we capture intent, retrieve the right context, route work through specialized skills, enforce deterministic business rules, validate results, recover from failures, and determine when human judgment is actually necessary. These are the branches that transform isolated AI interactions into intelligent, repeatable workflows that don't require developers to constantly intervene. Join Danny Thompson as he explores advanced agentic engineering strategies and the Atlassian technologies that bring these branches to life. Discover how Loom Video to Agent captures intent beyond text, how Atlassian MCP and Rovo provide relevant organizational context, and how reusable skills and loop-based orchestration enable workflows to execute, evaluate, recover, and continue. See how Forge connects these capabilities through custom actions, deterministic controls, and automated Jira workflows, while Loom-powered PR reviews, human approval gates, and the Atlassian Marketplace help teams scale their solutions. Walk away with practical architectural patterns for engineering the path from prompt to outcome, building systems that move faster without sacrificing reliability, developer creativity, or human control.