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Use Case Playbooks: AI Agents, Webhooks, Cron & REST APIs

These four playbooks mirror how teams typically adopt Inquir Compute: AI agent backends, webhook processors, cron jobs, and REST API endpoints. Each playbook pairs serverless functions with the HTTP gateway, environment secrets for provider credentials, and observability for when something misbehaves. Follow the links to 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 →

Cron jobs

Run scheduled functions for syncs, reports, and cleanup. They use the same runtime and secrets as online handlers; write idempotent updates and use observability to audit each run.

Cron 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 →