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I Built a Slash Goal Overnight Command So My AI Agent Works While I Sleep
Most people check on their AI agents constantly. That's the bottleneck nobody talks about.
I built a custom "slash goal overnight" command inside my Hermes agent in Slack, running Codex as the main LLM. The idea is simple: define a clear outcome, set the safety rails, and let it work through the night while you sleep.
The key word there is "define." Slash goal only works when you're specific about what done actually looks like. Not "build me something." More like: design 50 ads using this template and this copy, or generate three landing page variations pulling from this Mobbin MCP. The cleaner the definition of done, the less you have to babysit it.
The upgrade I added gives it three things the default doesn't have: safe internal execution so it won't run destructive commands, a verification layer to confirm the work actually happened, and a morning packet that tells me exactly what got done overnight.
Wake up. Read the packet. Move on.
Most operators are still treating AI agents like junior employees they have to manage in real time. The better frame is: you're the architect. Your job is to spec the mission clearly, build in the guardrails, and let it run.
The more you connect your agents to the right tools and data sources, the more interesting the experiments get. That's where the leverage is.
How are you thinking about running agents when you're not in the room? #shorts
Видео I Built a Slash Goal Overnight Command So My AI Agent Works While I Sleep канала Eric Siu Highlights
I built a custom "slash goal overnight" command inside my Hermes agent in Slack, running Codex as the main LLM. The idea is simple: define a clear outcome, set the safety rails, and let it work through the night while you sleep.
The key word there is "define." Slash goal only works when you're specific about what done actually looks like. Not "build me something." More like: design 50 ads using this template and this copy, or generate three landing page variations pulling from this Mobbin MCP. The cleaner the definition of done, the less you have to babysit it.
The upgrade I added gives it three things the default doesn't have: safe internal execution so it won't run destructive commands, a verification layer to confirm the work actually happened, and a morning packet that tells me exactly what got done overnight.
Wake up. Read the packet. Move on.
Most operators are still treating AI agents like junior employees they have to manage in real time. The better frame is: you're the architect. Your job is to spec the mission clearly, build in the guardrails, and let it run.
The more you connect your agents to the right tools and data sources, the more interesting the experiments get. That's where the leverage is.
How are you thinking about running agents when you're not in the room? #shorts
Видео I Built a Slash Goal Overnight Command So My AI Agent Works While I Sleep канала Eric Siu Highlights
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31 мая 2026 г. 1:03:36
00:01:31
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