hexiecs

hexiecs / talk-normal

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Make GPT talk like a normal person. A system prompt that removes AI slop.

18
0
100% credibility
Found Apr 09, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Shell
AI Summary

A collection of instructions that teach AI chatbots to respond briefly and directly, cutting out unnecessary words while keeping all the important details.

How It Works

1
🔍 Discover talk-normal

You stumble upon a simple trick to make AI assistants give short, straight-to-the-point answers without all the extra chatter.

2
👀 Check the examples

You read real before-and-after stories showing how long, rambling replies turn into clear, useful ones.

3
Pick your setup
💬
ChatGPT

Copy a few lines into your chat's personal settings.

⚙️
Other tools

Paste the instructions right where you talk to the AI.

📥
Quick install

Download and run a one-click helper for special setups.

4
✨ Add the magic words

You paste in the secret phrase that tells your AI to talk normally from now on.

5
🔄 Start fresh chat

Open a new conversation, and your AI is transformed.

6
💬 Ask away

Fire off questions and enjoy direct answers packed with info, no filler.

🎉 Perfect chats!

Your AI now sounds like a smart friend—concise, helpful, and to the point every time.

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AI-Generated Review

What is talk-normal?

talk-normal is a Shell script delivering a system prompt that makes LLMs like GPT, Gemini, or LLaMA output concise, human-like responses without the usual AI filler or corporate fluff. It slashes verbosity—up to 71% on GPT-4o-mini—while keeping all key info intact, solving the problem of bloated answers that waste time reading. Drop it into ChatGPT custom instructions, OpenAI API calls, or OpenClaw via a one-line install script.

Why is it gaining traction?

It stands out by transforming rambling LLM replies into tight, direct prose that reads like a sharp analyst or dev colleague, as shown in real tests on tech explainers and financial market breakdowns. Developers notice faster insights without losing substance, making GPT sound human and text undetectable from AI slop. The hook: copy-paste simplicity across tools, with proven reductions on multiple models.

Who should use this?

AI power users querying code concepts, like "TCP vs UDP" or "microservices pros/cons," who hate scrolling through lists. Traders and analysts decoding verbose market commentary into actionable takes. Devs integrating LLMs via API who want outputs that normal people talk about—straight facts, no hedging.

Verdict

Grab it if verbose LLMs frustrate you; the prompt delivers on making GPT sound human with solid test data and MIT license. At 18 stars and 1.0% credibility, it's early-stage with thin adoption—test thoroughly before production, but docs and results make it worth a spin.

(178 words)

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