Saji John

Saji John

DoCoreAI for AI Prompt Optimization
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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
DoCoreAI: Open-source LLM Observability
DoCoreAI: Open-source LLM ObservabilityPlug-&-Play AI Observability Layer for any LLM calls
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If you're curious about the research direction, here's our full whitepaper: 👉 Download PDF
DoCoreAI
DoCoreAIOptimize AI Responses with Dynamic Temperature Adjustment
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🧠 “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...

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🚀 Introducing DoCoreAI – Say Goodbye to AI Prompt Trial & Error!

Hey Product Hunt friends! 👋 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...

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
DoCoreAI
DoCoreAIOptimize AI Responses with Dynamic Temperature Adjustment