Build effective GPT agents from scratch using pure Ruby and direct OpenAI API calls. Master LLM workflows, tool integration, autonomous agent patterns, multi-agent orchestration, and parallelization, all without any frameworks.
Overview
Syllabus
- Course 1: Exploring Workflows with GPT in Ruby
- Course 2: Developing GPT Agents with Tool Integration in Ruby
- Course 3: Mastering Agentic Patterns with GPT in Ruby
- Course 4: Parallelizing GPT Agentic Systems in Ruby
Courses
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Explore how to orchestrate GPT 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.
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Discover how to enhance GPT's capabilities by integrating custom tools and functions. Progress from creating tool schemas to building autonomous agents that can interact with external systems through iterative tool use.
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Build sophisticated multi-agent systems where specialized agents collaborate to solve complex problems. Learn patterns for agent coordination, orchestration, and delegation to create systems greater than the sum of their parts.
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Scale GPT-powered systems to handle high-throughput workloads through concurrent programming. Master threaded API calls, concurrent tool execution, and parallel multi-agent orchestration. Learn to support multiple specialized agents working simultaneously, enabling efficient multi-task processing and coordination without blocking on individual requests.
