Skip to content
Docs

Use cases

These four playbooks cover AI agent backends, webhook processors, scheduled pipelines and REST API endpoints. Each uses serverless functions with gateway routes, environment secrets and observability. Follow the public use-case hubs for verification patterns, retries and templates.

AI agent backends#

Run long model calls, tool loops, and structured outputs behind a stable HTTP route. Enable streaming when you need partial tokens, and keep provider keys in environment secrets.

AI agent playbook →

Webhook processors#

Verify signatures on the raw body, return a 2xx response quickly, and offload heavy work to async jobs or pipelines when the provider enforces a short timeout.

Webhook playbook →

Scheduled pipelines#

Add a schedule to a pipeline for syncs, reports and cleanup. Its functions use the same runtime and secrets as online handlers; write idempotent updates and use observability to audit each run.

Scheduled pipeline playbook →

REST API endpoints#

Serve route groups and authenticated JSON APIs on the gateway. Parse event.body as a string on HTTP invokes, and share types between handlers where it helps.

REST API playbook →