10/ Key takeaway: Prompting GPT-5 isn’t about tricking the model. It’s about steering a super-intelligent agent with clear goals, constraints, and structure. The better you prompt, the more it feels like magic.
LLMS
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Let GPT-5 prompt itself for better instructions
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9/ Final tip: Let GPT-5 prompt itself. Want better prompts? Ask it:
“What’s missing in this prompt that caused [undesired behavior]? How would you change it?” It's scary good at optimizing its own instructions. -
Guide GPT-5 softly; less prompting yields better results
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8/ Don’t over-prompt GPT-5. Cursor found that prompts like “Be thorough” made GPT-5 overuse tools – even when it already had the answer. Instead, guide it softly:
“If you're unsure, check. But trust internal knowledge first.” Less is often more. -
Responses API improves agentic flows with less token waste
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5/ Use the Responses API for long agentic flows. It remembers reasoning between tool calls. In benchmarks:
• Tau-Retail score jumped from 73.9% → 78.2%
• Less token waste
• Faster, smarter responses This is essential for apps with multiple steps. -
Master Complex Workflows with GPT-5 Tool Preambles for Clarity and Control
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4/ For complex workflows, use Tool Preambles. Tell GPT-5 to:
• Rephrase your goal
• Outline a step-by-step plan
• Narrate actions as it executes Result: You always know what it's doing – and why. -
Agentic persistence prompt transforms GPT-5 into autonomous agent
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3/ Want it to think more and solve big tasks on its own? Use this agentic persistence prompt:
“Keep going until the problem is solved. Don’t hand back to the user. Research and act if unsure.” It shifts GPT-5 from "assistant" to "autonomous agent." -
OpenAI’s GPT-5 Prompting Guide: 100x Deeper Than Simple Prompts
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Most people think prompting is just typing smart things into a chat box. But OpenAI just released its official GPT-5 Prompting Guide – and it’s 100x deeper than that. Here’s what they recommend (and why it matters):
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Set lower reasoning_effort for faster GPT-5 responses
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2/ Want GPT-5 to think less and move faster? Set a lower reasoning_effort. Use tight prompts like:
“Give the best answer as fast as possible. Use max 2 tool calls. Proceed even if not 100% sure.” This reduces overthinking, latency, and tool spam. -
GPT-5: A Massive Leap Requires Proper Prompting for Peak Performance
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1/ GPT-5 is not just an upgrade. It’s a massive leap in:
• Tool calling
• Instruction-following
• Agentic workflows
• Coding intelligence But to get peak performance? You have to prompt it the right way. -
GPT-5 Release: Early User Impressions and Thoughts
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Now that it's been out a couple weeks, what are your thoughts on GPT-5?