One post tagged with "workflow"

Most AI projects don't need a fleet of orchestration tools to run a few prompt chains. The real work is state management, retries, scheduling, and simple persistence—the operational glue between LLM API calls.

This post shows you how to build a production-ready text summarization workflow using Codehooks.io, the Workflow API, and OpenAI. You'll learn:

• OpenAI API integration patterns: Error handling, retries, rate limiting, and cost optimization
• Workflow state management: Building reliable multi-step processes with caching and persistence
• Webhook triggers: Event-driven workflows that respond to GitHub issues (and other external services)
• Programmatic access: How to trigger and manage workflows via REST API, CLI, and webhooks

By the end, you'll have a working summarizer that caches results, stores them in a NoSQL database, and can be triggered via REST API or GitHub webhooks—all deployed with a single command.