I can't believe I'm living in the same timeline as @NousResearch. The way I've developed my harness feels extraordinary.
Soon, every business model will need this to keep up.
I don't want agents with master keys.
I want agents with a tiny job, a scoped token, a policy check, and a receipt after the run.
Autonomy gets interesting when you can answer:
what could it touch?
why was it allowed?
can I revoke it?
what proof did it leave?
Most people start AI agents from the wrong question.\n\nDon’t ask, “what agent should I build?”\n\nAsk which workflow already breaks in the business, then build the harness around that.
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That’s how you find what actually grows the business.
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@NousResearch this is the piece that makes agents feel usable for real work. not the chat box, the place where you can see sessions, logs, cron, skills, failures, and decide what gets trusted
@sonicaghi this is the part most people blur. a tool call is intent. the API calls are just the machinery underneath. if you govern only the API layer, you miss where the agent actually made the decision
The useful agent does not just finish the task.
It writes down the part you keep repeating.
That is the difference between a chatbot answer and a workflow you can run again.
If it forgets the work after the chat ends, the founder is still the operating system.
@ClaudeDevs context inheritance is the useful part here. background agents are great, but only if they come back into the main session with a result you can actually review
Jeff Bezos explained speed with a shovel vs. a backhoe.
That is how I look at agent harnesses.
If a workflow can safely move faster, why keep doing it the slow way?