everystack-ai

To integrate LLM providers for natural language search, you connect the AI provider to your workspace platform. This enables users to query their entire workspace using natural language instead of exact match filters.

The Schema Descriptor Service (SDS) is a context mechanism that feeds workspace structural metadata to LLMs. It ensures AI features understand your specific data schema to generate accurate field suggestions and summaries.

You track AI usage and meter credits by implementing a credit management system within your workspace platform. This system monitors LLM interactions to accurately track and deduct credits based on feature consumption.

Yes, you can automatically suggest relevant field values in CRM records using the Smart Fill feature. It leverages connected LLM providers and workspace context to populate fields intelligently.

Yes, the AI feature integration supports document AI drafting and record summarization. It uses connected LLM providers to generate summaries and draft content directly within your workspace records.

AI affordance UI elements for prompt engineering depend heavily on the connected LLM provider's capabilities and your workspace's schema context. Feature accuracy is constrained by the quality of the SDS mappings provided.