objectstack-ai

Designing AI agents to safely operate on business objects requires organizing responsibilities into reusable Skills that bundle tool access, context-specific instructions, and bounded query and action operations with safety handling.

To configure a RAG pipeline, you define embedding and index settings, retrieval filters, reranking parameters, and quality thresholds that align agent responses with grounded knowledge retrieval from your business data.

Yes, you can wire MCP integrations to expose query, action, and flow operations for AI agents, ensuring correct dispatch wiring and safety handling, including optional human-in-the-loop approvals for sensitive actions.

The Agent to Skill to Tool pattern organizes AI capabilities by grouping responsibilities into Skills, which serve as reusable bundles that provide agents with bounded tool access and specific operational context.

Yes, defining agent and skill schemas, trigger conditions, and YAML frontmatter metadata aligned to Zod shapes is required to satisfy ObjectStack spec requirements for agent and tool configurations.

You can surface action operations with safety handling that includes optional human-in-the-loop approvals, ensuring that sensitive agent-initiated flows require explicit confirmation before dispatch.