agentforge

AI agent requests are routed to the correct workflow phase by evaluating user intent against a phase-based decision tree. This ensures safe, context-preserving handoffs to specialized skills for building, diagnosing, or optimizing.

Orchestrating multilingual triggers for AI agents involves using a routing decision tree that recognizes diverse language inputs. This safely directs the user intent to the appropriate phase skill without losing context.

Start building or diagnosing an AI agent by stating your intent, such as asking to build an agent or diagnose an existing one. The router evaluates this intent and hands off to the matching phase skill.

Context is preserved when handing off tasks between different agent skills through the router's transition logic. It safely manages the handoff between specialized phase skills to ensure a seamless user experience.

Agent orchestration routing works for optimizing existing agents by identifying the optimization intent in user requests. It routes the request to the specific phase skill designed for agent optimization.

A phase-based routing decision tree for AI agents should be used when users need guided transitions across building, diagnosing, or optimizing phases. It ensures safe handoffs to specialized skills based on evaluated intent.