← Back to feed

A Practical Guide to Building AI Agents

L3 · BuilderTutorials & GuidesOpenAI Blog· 1/15/2026

Provides actionable guidance for builders implementing AI agent systems in production.

AI Summary

OpenAI published a practical guide covering design, orchestration, deployment, use cases, model selection, tool design, and multi-agent patterns.

Excerpt

A comprehensive guide to designing, orchestrating, and deploying AI agents—covering use cases, model selection, tool design, guardrails, and multi-agent patterns.

Read Original
0 upvotes · 0 downvotes · 1 min read

Related Articles

L3 · BuilderTutorials & GuidesSimon Willison's Blog
A new feature for my blog, built using my voice

Simon Willison built a new blog newsletter feature entirely using voice conversation with GPT-6 Astra High while cooking dinner.

L4 · DeveloperTutorials & GuidesOpenAI Blog
Building with the GPT-5 Model Series: A Practical Guide

OpenAI released a practical guide for developers on migrating to the Responses API, designing agents, and tuning prompts for GPT-5 models.

L3 · BuilderTutorials & GuidesOpenAI Blog
How OpenAI Uses Codex to Accelerate Engineering

OpenAI shares how its engineering teams use Codex for code understanding, system refactoring, performance optimization, and workflow acceleration.

L2 · PractitionerTutorials & GuidesOpenAI Blog
Think Bigger: How Small Teams Win with ChatGPT

OpenAI publishes a practical guide showing how small teams use ChatGPT for data analysis, marketing, budgeting, and meeting management.

L3 · BuilderTutorials & GuidesTowards Data Science
Build Your First AI Agent with One Tool Call

Step-by-step tutorial shows how to build a simple AI agent that uses an LLM to call Python functions for database queries.