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CodeSignal

Exploring Workflows with GPT-5 in Ruby

via CodeSignal

Overview

Explore how to orchestrate GPT-5 through common workflow patterns using the Responses API. Master strategies for decomposing complex tasks, routing work efficiently, and executing parallel operations using prompt engineering and API call orchestration with developer and user messages.

Syllabus

  • Unit 1: Getting Started with OpenAI Responses API
    • Create Your First GPT-5 Response Request
    • Extracting Response Text and Status
    • Building a Multi-Turn Conversation
    • Use Minimal Reasoning for Faster Multi-Turn Requests
    • Inspecting GPT-5 Reasoning Summaries
  • Unit 2: Implementing Prompt Chaining
    • Build the Summary Generation Step
    • Add Validation to a Prompt Chain
    • Tighten the Validation Guardrails
    • Complete the Translation Step in a Prompt Chain
    • Add Translation Quality Review to the Prompt Chain
  • Unit 3: Designing Routing Workflows
    • Build the Router Prompt
    • Map Router Decisions to Specialist Prompts
    • Complete the Specialist Response Step in a Routing Workflow
    • Add a Science Specialist to the Router
  • Unit 4: Implementing Parallelization Patterns
    • Converting a Sequential GPT-5 Workflow to a Threaded One
    • Run Travel Questions in Parallel
    • Aggregate Parallel Research into a Travel Guide

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