Custom Metadata Types as Runtime AI Configuration
Using Custom Metadata Types to externalize AI chatbot configuration -- model settings, behavior rules, and UI prompts -- with cached Apex queries and fallback defaults.
Using Custom Metadata Types to externalize AI chatbot configuration -- model settings, behavior rules, and UI prompts -- with cached Apex queries and fallback defaults.
How to architect multi-step conversational workflows through system prompt engineering and Custom Metadata, keeping flow logic declarative and deployable without code changes.
Using Custom Metadata Types to drive field mappings between source and target objects, eliminating hard-coded field references and enabling admin-managed integrations.