@cnzhihao: "Shorter prompts actually yield better results." I'd call this the most meaningful sentence in the Loop Engineering phase. I've also fallen into the trap when building Agents for clients: a bunch of Skills and a thousand-word AGENTS.md. In fact, GPT-5.6's approach of clearly stating the results, constraints, success criteria, and where autonomy stops — without repeatedly asking me for my logic — might be the right way to go.
Summary
The author shares that short prompts work better when building Agents, emphasizing the need to clarify results, constraints, and autonomy, which reduces token consumption and rework costs.
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Cached at: 07/12/26, 02:56 PM
“Shorter prompts, yet better results.”
I’d call this the most meaningful sentence in the Loop Engineering phase.
When building agents for clients, I’ve fallen into the same trap: piling on Skills, then writing a thousand words in AGENTS.md.
In reality, GPT-5.6’s approach — clearly stating the outcome, constraints, success criteria, and where autonomy stops, without repeatedly asking for my approval — is probably the right way.
Grant the agent authority; trust it. Frankly, saving 60% on tokens is money; reducing rework is even bigger money.
This article by LeGe is now part of the August 1st training premium lunch.
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