Data processing and transformation workflows
Part of Workflows
Create and test prompts with few-shot examples. Evaluate AI responses and tune model performance through experimentation.
Analyze URLs through AI prompt chaining. Scrapes content, analyzes it, and generates summaries.
Sequential three-agent chain demonstrating structured outputs flowing between agents. Research Agent 1 gathers research, Expand Agent 2 expands research, Synthesis Agent 3 synthesizes final answer. Uses Exa tools and AI SDK 6's stabilized structured output support.
Demonstrates an evaluator-optimizer workflow pattern using Workflow DevKit. Features iterative improvement through AI evaluation and optimization loops.
Demonstrates an orchestrator-worker workflow pattern using Workflow DevKit. Features parallel execution of specialized workers for different change types (create, modify, delete).
Demonstrates a parallel review workflow pattern using Workflow DevKit. Features concurrent code reviews (security, performance, maintainability) with result aggregation.
Demonstrates a routing workflow pattern using Workflow DevKit. Features query classification and conditional routing to specialized handlers based on type and complexity.
Simple step-by-step AI processes
Durable workflows using Workflow DevKit
Tools & Utilities
File editing and processing capabilities
SDK API
Text and structured data generation with Output.object()
Streaming text and structured data with Output.object()
Agent Patterns
Human approval and oversight workflows
