docs/guides/ai-agents/overview.mdx
<Card icon="chart-column" title="ClickHouse chat agent" href="/guides/example-projects/clickhouse-chat-agent"
Build a chat agent that answers questions about your ClickHouse data with charts, tables and maps
using `chat.agent()` and generative UI.
Build a durable, multi-turn chat agent with chat.agent(). A durable session per conversation, with streaming and resumability handled for you.
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.
<CardGroup cols={2}> <Card title="Prompt chaining" img="/guides/ai-agents/prompt-chaining.png" href="/guides/ai-agents/generate-translate-copy" > Chain prompts together to generate and translate marketing copy automatically </Card> <Card title="Routing" img="/guides/ai-agents/routing.png" href="/guides/ai-agents/route-question"> Send questions to different AI models based on complexity analysis </Card> <Card title="Parallelization" img="/guides/ai-agents/parallelization.png" href="/guides/ai-agents/respond-and-check-content" > Simultaneously check for inappropriate content while responding to customer inquiries </Card> <Card title="Orchestrator" img="/guides/ai-agents/orchestrator-workers.png" href="/guides/ai-agents/verify-news-article" > Coordinate multiple AI workers to verify news article accuracy </Card> <Card title="Evaluator-optimizer" img="/guides/ai-agents/evaluator-optimizer.png" href="/guides/ai-agents/translate-and-refine" > Translate text and automatically improve quality through feedback loops </Card> </CardGroup>