用 GPT-6 Astra 搭一个协调层跑 20+ 业务工作流
作者称一个协调 agent 就能按任务切换专家、工具与权限，替代多套 agent 栈；多 agent 耗 token 约 15 倍，但并行研究可把复杂任务时间砍掉九成。
GPT-6 ASTRA JUST TURNED ONE AGENT CREW INTO 20+ BUSINESS WORKFLOWS one coordinator can route research, sales, support, compliance and engineering without spinning up a separate agent stack for every job. objective → specialist → tools → guardrails → human review → output multi-agent runs can burn roughly 15× more tokens than normal chat, but parallel research has cut complex task time by up to 90% when the branches are actually independent. one real sourcing system replaced about $12,000 of analyst work with roughly $200 in compute, while its internal evals climbed from 25% → 60% → 85%. the interesting shift is not “more agents.” it is one reusable operating layer that changes skills, tools and permissions depending on the job instead of rebuilding the workflow every time.
这条是引用着另一条写的：x.com/n01ennn/status/2100530944960557494