🚀 DoCoreAI Is Now MIT Licensed — Join the Mission to Optimize AI Prompts Dynamically

Hey devs 👋

After 30 incredible days of growth — 8,000+ downloads, 31 GitHub stars, and feedback from around the globe — I'm thrilled to announce something important for the community:

DoCoreAI is now MIT Licensed 🎉
(Goodbye CC-BY-NC-4.0, Hello open contribution freedom!)

🔍 What is DoCoreAI?

DoCoreAI (Dynamic Optimization & Contextual Response Engine) is a lightweight Python package that tackles a subtle but critical challenge in LLM usage:

🌡️ Prompt temperature tuning.

You’ve probably seen this before:

response = openai.ChatCompletion.create(
  prompt="Explain relativity to a child",
  temperature=0.7
)

That temperature value? It decides the creativity of the AI response — but most of us are just guessing.

DoCoreAI changes that.
It calculates the optimal temperature based on your prompt’s intent — analyzing parameters like:

🤔 Reasoning
🎨 Creativity
🎯 Precision

All without fine-tuning.
All from the prompt itself.

🧪 Example

from DoCoreAI import intelligence_profiler

params = intelligence_profiler("Write a fun poem about gravity", return_params=True)

# Output: {'reasoning': 3.2, 'creativity': 4.7, 'precision': 2.1, 'temperature': 0.84}

Now that’s smarter prompt engineering!

💡 Why the License Change?

Moving to the MIT License was a deliberate decision.

It means:

✅ No commercial restrictions
🤝 Easier collaboration and forking
🌍 Aligning with the open-source spirit

Whether you're building internal tools, LLM wrappers, or AI agents — you're welcome to use, remix, and build on top of DoCoreAI.

🌟 Join the Dev Mission

📦 Install:

pip install docoreai

💻 GitHub:
👉 https://github.com/SajiJohnMiranda/DoCoreAI

🔧 Explore, star ⭐️ the repo, raise issues, or contribute your ideas. Whether it’s performance tweaks, new metrics, or creative plugins — let’s push the limits of contextual optimization together.

Let’s stop guessing AI parameters —
and start letting them intelligently adapt.