AI model orchestration
The coordination and management of multiple large-language-models, prompt-engineering sequences, and external Tools to execute complex, multi-step autonomous or semi-autonomous tasks.
Core Mechanisms
- prompt-chaining: Linking the output of one model or prompt as the input for the next.
- agentic-ai: Using models to autonomously decide which Tools or functions to invoke.
- Model Routing: Dynamically selecting specific models based on task complexity, latency, or cost requirements.
- Visual Programming: Using graphical interfaces to define logic flows and data dependencies.
Emerging Platforms & Trends
- Opal (google-labs): An experimental no-code tool designed for describing, creating, and sharing AI mini-applications.
- Enables users to chain together prompts, models, and tools using natural language descriptions and visual editing.
- Represents a trend toward democratizing software creation by removing the need for traditional programming skills.
Backlink: 2026 04 14 Opal Labs Sam Witteveen