Building an AI Agent automation workflow in TypeScript using the OpenAI Agents SDK

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Издатель Jun 11, 2026

In this video, I demonstrate how to build a TypeScript-based AI agent using the Open AI Agent SDK

Using a practical OpenAI Agents SDK / TypeScript approach, I walk through the foundations of how OpenAI's Agent SDK is implemented.

define a specialist AI role
maintain conversation state across turns
use tool calling
support structured candidate assessment
shift intake from “accept/reject” toward coaching for success

If you’re interested in AI in education, AI agent development, and TypeScript agent workflows, this video will give you a template to build your own automation workflow product.

If your college or organization is exploring AI training, agent workflows, or instructional demonstrations of emerging technology, feel free to connect with me.

What this video covers
Building the core mental model of an AI agent
Agent SDK message flow and tool calling
TypeScript setup for simple agent demos
Intake assessment as a business-domain problem
Why coaching is better than gatekeeping
How AI can help shape expectations and improve learner success

#AI #TypeScript #AIAgents #OpenAI #EdTech #Mentorship #StudentSuccess #AIAutomation

Keywords / Tags

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AI agent, AI agents, intake agent, AI intake agent, TypeScript AI agent, TypeScript tutorial, OpenAI Agents SDK, AI automation, tool calling, agent orchestration, LLM tools, AI in education, EdTech AI, student success, mentorship program, candidate assessment, intake assessment, coaching mindset, coaching not gatekeeping, AI coaching, educational technology, college technology, startup incubator AI, mentor intake, agent SDK, session memory, AI workflow, AI developer tutorial, OpenAI tutorial, TypeScript agents