OpenAI publishes a practical guide to building with GPT-6

Summary

OpenAI released a hands-on guide for choosing among the GPT-6 family (Astra, Sol, Luna) and matching reasoning effort to the task. It covers production practices such as prompt caching (cached input tokens cost up to 95% less, per the company's own figures), context compaction, steering, async tools, and delegation for long-running work, plus how to write AGENTS.md and a pre-deployment checklist.

Why it matters for our work

The guide lays out, in one document, how agent builders can pick models by cost, speed, and quality and keep long tasks on track. Teams building human-AI work tools can use it directly to set productivity and operating-cost baselines.

Translated from the Korean original. Summaries may be translated and edited. Commentary reflects our perspective; forecasts remain the source’s views.