Just 25 days ago, I launched DoCoreAI — a lightweight Python package designed to eliminate the guesswork of AI temperature tuning through something I call dynamic temperature profiling.

It began with a single idea:
“What if temperature could be optimized automatically, based on the intent of the user?”

Since then, this small utility has evolved into a surprisingly powerful helper for anyone working with prompts, especially developers and researchers trying to balance creativity, accuracy, and control.

🚀 What’s Happened So Far?

✅ 6,118+ Downloads on PyPI

✅ Over 20,000+ views from Reddit

✅ 950+ impressions on LinkedIn

✅ Launched on Product Hunt (with great early feedback)

✅ Positive chatter from developers across Reddit, Product Hunt, LinkedIn, and Twitter

✅ Started receiving profile views and DMs from curious developers

Here’s the image I often use to explain it visually:

Image description

💡 What Makes DoCoreAI Unique?

Traditional prompt engineering forces developers to manually guess a temperature value like 0.7, 0.3, or 1.0 — depending on the need for creativity, precision, or something in between.

DoCoreAI flips that process.

It analyzes your prompt context and applies dynamic tuning based on a profiling system that balances:

  • 🎯 Precision

  • 🧠 Reasoning

  • 💭 Creativity

  • 🔥 Temperature

All while letting you stay focused on the core logic of your app or experiment.

  • No fine-tuning.
  • No heavy compute.
  • Just plug in, and it works.

🧪 Who's It For?

If you're working on:

  • LLM-based apps (chatbots, agents, tools)

  • GenAI research and prompt optimization

  • OpenAI / Groq / Claude / Gemini integrations

  • RAG systems or structured AI pipelines

...and you've ever wished your LLM "just knew" how creative or precise it should be — this might be for you.

❤️ Community Reactions

Some of my favorite feedback so far:

“This is such a clever solution to a common problem with AI prompts!”
– Product Hunt

“Damn! That’s actually a genius concept. Why don’t they do this already?”
– Reddit IndieHackers

“Your temperature setting should be applied like a heatwave map…”
– PromptEngineering subreddit

  • From my LinkedIn Image description

🛠️ What's Next?

Here’s what I’m planning for the second wave:

  1. A GitHub star campaign
  2. A comparison benchmark using HumanEval
  3. Possibly converting it into a small SaaS tool or micro-API
  4. Exploring early-stage partnerships or even media coverage (if the interest continues)

🤝 Get Involved

Star it on GitHub: DoCoreAI on GitHub

Try it on PyPI:

pip install docoreai

Share feedback or ideas: Drop a comment or ping me on Twitter / LinkedIn

Looking forward to hearing your thoughts!

Thanks for reading — and for everyone who's tried, tested, or even just asked a question about DoCoreAI:
You're shaping its evolution. 🙌