🧠 “Why is your AI still inconsistent?”

That was the question that led me down a rabbit hole.

If you’ve worked with LLMs like GPT or Claude, you know the struggle:
Sometimes you want creativity, other times you need precision — but choosing the right temperature is guesswork.

So I built something to change that.

🎯 DoCoreAI: It dynamically adjusts temperature based on your prompt's intent — meaning no more trial-and-error, and no more toggling sliders hoping to get it right.

You just write your prompt. It figures out what the temperature should be.

💡 Why does this matter?

Because temperature controls everything from creativity to hallucination risk.

And right now, most people still leave it at 0.7 by default, which can be the worst choice for your task.

DoCoreAI uses intelligence parameters like:

• 🔍 Precision

• 🎨 Creativity

• 🧠 Reasoning

• 🌡️ And of course — Temperature (dynamically set)

🛠️ Try it / Support us

We just launched today on Product Hunt and we’d be grateful for your support or feedback 🙏
→ https://www.producthunt.com/posts/docoreai

You can also find the GitHub repo if you're curious how it works or want to test it locally: → https://github.com/SajiJohnMiranda/DoCoreAI

🗣️ I'd love your thoughts:

• Have you ever struggled with temperature settings in LLMs?

• Do you think AI should decide its own temperature?

Thanks for reading. Always up to connect with other builders and brainstormers!