@user3812086139583: #ガルパン #ミリタリー #2011 #garupan #平成アニメ

アムロ・礼
アムロ・礼
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Saturday 29 August 2026 20:12:58 GMT
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user1669320207171
ラーメーン海舟 :
ハンバーガーくれ
2026-08-30 11:47:29
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user975291750669
タピオカパン :
WarThunderの貨物庫でできそう
2026-08-30 02:41:55
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user3030995811044
サクッ :
途中スマイリー酒井みたいな人おらんかった?
2026-08-30 01:54:16
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Everyone wants the perfect prompt. Anthropic’s Boris Cherny says that’s the wrong goal. The people getting the biggest results aren’t writing longer prompts. They’re building loops. Instead of asking Claude to complete a huge task in one shot, they teach it how to think after every step. Complete the work. Check your work. Decide the next highest value action. Do it. Repeat. That single shift changes everything. Instead of acting like a chatbot waiting for your next message, Claude starts behaving like an employee who owns the outcome. This is one of the biggest mindset shifts I’ve had this year. Most people think AI is stateless. Prompt. Response. Prompt. Response. The best AI users turn it into an iterative system. Here’s a simple pattern you can steal: “Complete this task. When you finish, ask yourself: ‘What’s the next highest value action I should take to move this objective forward?’ Execute that action. Verify your work before continuing. Repeat until the objective is complete or no meaningful progress remains. Don’t wait for another prompt unless you truly need human input.” Notice what this does. You’re no longer micromanaging every step. You’re giving Claude permission to make decisions inside the boundaries you’ve defined. That’s the difference between using AI as a chatbot and using AI as an agent. I have a feeling this “loop” pattern is going to become one of the defining techniques of the next generation of AI workflows. If you’re still writing one massive prompt and hoping for the perfect answer, you’re leaving a lot of capability on the table. #creatorsearchinsights #aiprompts  #claudeai #aiprompt #claude
Everyone wants the perfect prompt. Anthropic’s Boris Cherny says that’s the wrong goal. The people getting the biggest results aren’t writing longer prompts. They’re building loops. Instead of asking Claude to complete a huge task in one shot, they teach it how to think after every step. Complete the work. Check your work. Decide the next highest value action. Do it. Repeat. That single shift changes everything. Instead of acting like a chatbot waiting for your next message, Claude starts behaving like an employee who owns the outcome. This is one of the biggest mindset shifts I’ve had this year. Most people think AI is stateless. Prompt. Response. Prompt. Response. The best AI users turn it into an iterative system. Here’s a simple pattern you can steal: “Complete this task. When you finish, ask yourself: ‘What’s the next highest value action I should take to move this objective forward?’ Execute that action. Verify your work before continuing. Repeat until the objective is complete or no meaningful progress remains. Don’t wait for another prompt unless you truly need human input.” Notice what this does. You’re no longer micromanaging every step. You’re giving Claude permission to make decisions inside the boundaries you’ve defined. That’s the difference between using AI as a chatbot and using AI as an agent. I have a feeling this “loop” pattern is going to become one of the defining techniques of the next generation of AI workflows. If you’re still writing one massive prompt and hoping for the perfect answer, you’re leaving a lot of capability on the table. #creatorsearchinsights #aiprompts #claudeai #aiprompt #claude

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