DoCoreAI is the “Observability Layer for LLMs” An open-source platform that helps developers and teams optimize prompts, cut AI costs, and improve reliability, measure ROI — with dashboards that make AI Team performance data-driven
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.
Maybe it is only me, but I see certain categories of online products that seem to be like "copy-paste" and the market is overcrowded by them. (and they repeats in the PH charts too often as well)
They are especially these:
AI writing tools
social media apps (I do not think that something breath-taking can be developed there)
I just launched DoCoreAI an AI optimization engine that dynamically adjusts the temperature of your prompts based on reasoning, creativity, and precision.
Why this matters: Most developers struggle with trial and error while tuning LLM temperature. DoCoreAI eliminates the guesswork by analyzing intent and intelligently setting the temperature giving you optimized responses without manual tweaks.
DoCoreAI is a groundbreaking AI optimization engine that auto-adjusts temperature settings based on user intent.
This first-of-its-kind approach helps to fine-tune AI responses in real time without trial and error.
Saves time, reduces costs, enhances accuracy
