Four patterns Optimizely practitioners could be getting wrong with Opal agents: inference levels, oversized tool responses, missing output constraints, and no agent response caching.
Explore Optimizely's architectural shift in 2025, which removed coordination cost through a unified execution loop. Learn how agentic Opal AI and integrated data systems drive learning velocity for developers and marketing teams.
Two Opal Hackathon projects explored how to bridge data and action. Using the Optimizely.Opal.Tools SDK, we extended Opal with new tools, showing how it acts as an enablement layer for developers and marketers.
A practical look at Optimizely Opal’s Instructions feature — from built-in agents to creating and managing custom instruction workflows. Ideal for teams scaling AI-powered content with structure and intent.
Discover how Optimizely’s AI Agents leverage agentic AI to autonomously execute complex tasks, enhancing digital workflows and driving innovation for technical leaders.
