Four patterns Optimizely practitioners could be getting wrong with Opal agents: inference levels, oversized tool responses, missing output constraints, and no agent response caching.
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.
