AI Product Launch Checklist
A carefully crafted prompt is enough to expose sensitive data, generate harmful content, or push your system out of compliance. As AI products take on greater autonomy, the window between a missed step and a real-world incident is shrinking fast.
Download this checklist to know exactly what to do before you ship, and how to stay ahead once you do.
Overview
In this checklist, we cover:
- The 5 pre-launch domains to address before you ship, from product intent to pre-release validation.
- The 5 post-launch domains to manage once you're live, from runtime observability to continuous improvement.
- Concrete, assignable tasks across product, engineering, security, legal, and trust teams.
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What’s New from Alice
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Diana Kelley, CISO at Noma Security and former Cybersecurity CTO at Microsoft, joins Mo to work through the real mechanics of LLM risk: why the context window flattens the trust boundary between system instructions and user data, why that makes reliable internal guardrails essentially impossible, and why agentic AI is less a new threat category and more a stress test for the hygiene debt organizations never fully paid off.
Distilling LLMs into Efficient Transformers for Real-World AI
This technical webinar explores how we distilled the world knowledge of a large language model into a compact, high-performing transformer—balancing safety, latency, and scale. Learn how we combine LLM-based annotations and weight distillation to power real-world AI safety.
