Examples

Complete, real-world examples you can copy and run. Each example demonstrates one multi-agent pattern applied to a concrete problem.

Example	Pattern	What it does
Blog Post Pipeline	Prompt Chaining	Research → outline → draft → polish → SEO metadata
Customer Support Router	Routing	Classifies messages by language, intent, and urgency; routes to specialists
Competitive Analysis	Parallelization	Analyses multiple competitors simultaneously; synthesises into a brief
Automated Code Review	Orchestrator-Workers	Orchestrator reads a diff and delegates security, perf, and style reviews
Cover Letter Generator	Evaluator-Optimizer	Drafts a cover letter; evaluates against a rubric; rewrites until approved
AI Development Workflow	Chaining + Orchestration + Eval	Full BDD cycle: feature request → user story → three amigos → tests → implementation → review
Markdown Research Pipeline	Orchestrator-Workers	Agents and partials defined as markdown files; researcher + writer coordinated by an orchestrator

Running the examples

All examples use provider packages included in the SDK. Install the SDK and set your API key:

npm install @daedalus-ai-dev/ai-sdk
export ANTHROPIC_API_KEY=your_key_here
export OPENAI_API_KEY=your_key_here

Each example imports directly from the SDK:

import { agent, Pipeline, defineTool } from '@daedalus-ai-dev/ai-sdk';
import { anthropic } from '@daedalus-ai-dev/ai-sdk';
import { openai } from '@daedalus-ai-dev/ai-sdk';

Choosing a pattern

Not sure which pattern fits your use case? Start here:

• Fixed sequence of steps → Prompt Chaining
• Inputs vary in type or expertise needed → Routing
• Independent sub-tasks that can run at the same time → Parallelization
• Dynamic task breakdown, model decides what to do → Orchestrator-Workers
• Output needs to hit a quality bar → Evaluator-Optimizer

See the patterns overview for a deeper comparison.