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CodeSignal

Exploring Workflows with GPT-5 in TypeScript

via CodeSignal

Overview

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

Syllabus

  • Unit 1: Getting Started with OpenAI Responses API
    • Building Your First GPT-5 Interaction
    • Extracting Response Data from GPT-5
    • Building Multi-Turn Conversations with GPT-5
    • Speeding Up Simple Requests with Low Reasoning Effort
    • Enabling Reasoning Summaries in Multi-Turn Conversations
  • Unit 2: Breaking Down Tasks with Prompt Chaining
    • Building Your First Prompt Chain Link
    • Add Validation Guardrails to Your Prompt Chain
    • Tightening Validation Guardrails in Prompt Chains
    • Complete the Translation Chain Step
    • Adding Translation Quality Review to Your Prompt Chain
  • Unit 3: Building Intelligent Task Routers
    • Building the Router System Prompt
    • Mapping Router Decisions to Specialist Prompts
    • Complete the Specialist Response Handler
    • Scaling Your Routing System with a Science Specialist
  • Unit 4: Speeding Up Workflows with Parallelization
    • Converting Synchronous Code to Async Patterns
    • Parallel GPT-5 Requests with Promise.all
    • Synthesizing Parallel Research into a Unified Travel Guide
    • Hardening Parallel Workflows with Promise.allSettled

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