Model chaining

Model chaining is a technique in AI where multiple models or components are sequentially connected to process complex tasks, leveraging specialized capabilities of each model through coordinated execution.

Examples

• Google Opal (Experimental): Google Labs’ experimental tool enabling natural language description of AI mini-apps, chaining multiple models together to create functional applications without code.

Related concepts

• ai-mini-apps
• Natural language interfaces
• Model composition

References

• AI updates video featuring Google Opal

Backlink: 2026 04 14 AI updates including Google Opal Creator Magic not available in Australia as of