4 Agents, 3 Machines, 100+ Hours: The Multi-Agent OpenClaw Setup

4 openclaw agents across 3 machines -- and i can't write a line of code. in this episode, i break down the exact folder structure, config files, and architecture that makes multi-agent actually work. because the thing nobody tells you? running 2 openclaws on 1 mac mini isn't about installing it twice. it's one gateway, two named agents, two workspace folders. i a l s o w a l k through the 5-file setup to switch your agents to gpt-5.4, which dropped two days ago at half the price of claude opus 4.6. plus the real reason i run 4 agents -- it has nothing to do with productivity and everything to do with tinkering being my ultimate form of expression. fair warning: there's some australian english in this one. gpt-5.4 called me a good cunt and that's when i knew the model was different. Chapter Markers: 0 0:00 Intro - the misconception about openclaw 0 0 : 5 5 t h e 4-agent fleet breakdown (aria, clarity, sammy, gary) 0 1 : 3 0 what an openclaw actually looks like (folder structure reveal) 0 3 : 0 0 adding a second agent to one mac mini 0 4 : 3 0 gpt-5.4 pricing and context window breakdown 06:30 the 272K pricing threshold nobody mentions 0 7 : 30 gpt-5.4 called me a good cunt 0 8:30 5-file config walkthrough to switch to gpt-5.4 1 0:30 pattern recognition beats coding 1 2 : 00 why tinkering is the real reason i have 4 agents 14:00 copy-paste prompts for multi-agent + gpt-5.4 S h o w N otes: OpenClaw -- open-source AI agent framework (openclaw.ai) G PT-5.4 -- OpenAI's frontier model ($2.50/M input tokens) T hreadify -- threads automation tool (https://www.threadify.app/?utm_source=lenny-podcast) M ac Mini -- local agent hosting Telegram -- agent communication layer