Overview
These guides will show you how to set up different types of AI agent workflows with Trigger.dev. The examples take inspiration from Anthropic’s blog post on building effective agents.
Prompt chaining
Chain prompts together to generate and translate marketing copy automatically
Routing
Send questions to different AI models based on complexity analysis
Parallelization
Simultaneously check for inappropriate content while responding to customer inquiries
Orchestrator
Coordinate multiple AI workers to verify news article accuracy
Evaluator-optimizer
Translate text and automatically improve quality through feedback loops
Example projects using AI agents
Human-in-the-loop workflow
Create audio summaries of newspaper articles using a human-in-the-loop workflow built with
ReactFlow and Trigger.dev waitpoint tokens.
Mastra agents with memory
Use Mastra to create a weather agent that can collect live weather data and generate clothing
recommendations.
OpenAI Agent Python SDK guardrails
Use the OpenAI Agent SDK to create a guardrails system for your AI agents.
OpenAI Agent TypeScript SDK playground
A playground containing 7 AI agents using the OpenAI Agent SDK for TypeScript with Trigger.dev.
Vercel AI SDK deep research agent
Use the Vercel AI SDK to generate comprehensive PDF reports using a deep research agent.