@Zephyr_hg: AI gives me exactly what I want on the first try now. Tested thousands of prompts and found the same 5 components in ev…

X AI KOLs Timeline 05/09/26, 07:00 AM News

Summary

The author shares a prompt engineering framework consisting of five components (Role, Task, Context, Format, Tone) claimed to work across major AI models.

AI gives me exactly what I want on the first try now. Tested thousands of prompts and found the same 5 components in every single one that worked. Every time I got garbage, at least one was missing. Role. Task. Context. Format. Tone. That's it. Five things. Works on Claude, Gemini, Grok, ChatGPT. Any AI tool. You tell it who to be, what to do, the background that matters, how to structure the output, and how it should sound. Most people type "help me write an email" and wonder why the result is useless. The AI has a thousand possible interpretations and you gave it zero direction. Put together a full playbook with ready-to-use templates, a 30-second pre-prompt checklist, and a 3-phase iteration method that turns a solid first draft into exactly what you need. 15 minute read. The results last forever. Comment "CODE" and I'll DM it to you (must be following)

Original Article

Similar Articles

@mattshumer_: I've spent seven years prompting AI systems. Here's the simple framework I'd give a friend to help them get the most ou…

X AI KOLs Following

Matt Shumer shares a concise prompting framework drawn from seven years of experience to help users maximize AI agent performance.

I keep seeing people give up on AI because it gives them generic junk. 9 times out of 10 it's the prompt. I coach professionals on getting AI actually working for their job, and the same fix solves most of it.

Reddit r/ArtificialInteligence

Advice on improving AI outputs by crafting better prompts and building reusable systems, rather than generic requests.

@0xCodez: Anthropic AI team just dropped the Prompting Playbook that beats most paid courses. 33-minutes. Free. By the Anthropic …

X AI KOLs Timeline

Anthropic released a free Prompting Playbook covering control cases, edge cases, and human handoff, providing a practical evaluation suite for prompt engineering.

How to Write an AI Prompt

YouTube AI Channels

This article offers tips for crafting effective AI prompts using the Vibe Coding feature in Google AI Studio, highlighting the importance of specificity, the use of keywords such as Three.js, image references, and iterative refinement.

Can prompting reduce AI sycophancy or is it mostly model behavior?

Reddit r/artificial

A user explores whether prompt engineering can reduce AI sycophancy in models like Gemini, ChatGPT, and Claude, or whether it's fundamentally a model alignment issue. The discussion touches on differences between models in handling disagreement and objective criticism.