Explore the exciting realm of GPT-5 as users debate its quality. Discover 11 practical prompting techniques to maximize your interactions, from 'think harder' prompts to structured formats. Learn the art of meta-prompting and how to avoid conflicting instructions, enhancing clarity and precision in your requests. Uncover GPT-5's advanced capabilities, empowering you to manage multiple tasks simultaneously. With these insights, transform your user experience and turn frustration into high-quality results.
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Force The Model To Think Harder
Tell GPT-5 to "think harder" or enter an ultra-deep thinking mode to get stronger reasoning and thorough outputs.
Use explicit phrases like "think deeply for five minutes" or an "UltraThink" block before your task.
Use Explicit Planning Phases
Add explicit planning phases: decompose the request, identify ambiguities, create a structured approach, then validate understanding before acting.
Use a mental to-do list with primary objective, subtasks, validation, and final review to track progress.
Be Hyper-Explicit About Requirements
Be extremely explicit about tone, style, verbosity, and output format when prompting GPT-5 to achieve predictable results.
Define expectations and maintain consistent formatting to exploit the model's strong instruction-following.
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Nearly a week into the GPT-5 era, users are still divided on its quality—but one thing’s clear: it’s more steerable than any previous model, and prompts make or break results. In this episode, we cut through the debate and share 11 practical prompting techniques you can use right now to get more from GPT-5. From “think harder” prompts and explicit planning phases to structured formatting, avoiding conflicting instructions, leveraging iteration, and meta-prompting, these tips draw on insights from OpenAI, early testers, and top prompt engineers. If you’ve been struggling to get GPT-5 to deliver, this guide will help you turn frustration into high-quality outputs.
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