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Ship AI Apps Faster: Runtime Control from LaunchDarkly and AWS
As GenAI moves from prototypes to production, teams are realizing that managing prompts, models, and configurations isn’t just a dev problem—it’s a release problem.
In this session, LaunchDarkly and AWS will explore how runtime control can help teams ship AI-powered features faster, more safely, and with more flexibility. We’ll walk through common delivery bottlenecks—like prompt updates, model switching, and latency management—and we’ll show how platforms like Amazon Bedrock, Amazon Q, and LaunchDarkly AI Configs together enable safer experimentation, instant rollback, and config-driven releases.
Whether you’re shipping your first GenAI feature or scaling across teams and models, this webinar will give you a practical look at how runtime control changes the game.
What you’ll take away from this webinar:
- How to find the best combination of model and prompt for your use case
- How to create runtime guardrails for your AI applications
- How to integrate Amazon Q and the LaunchDarkly MCP
Marek Poliks
