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Self-Promotion

p/self-promotion

by

Saji John Miranda

Saji John Miranda

•5mo ago
🚀 Introducing DoCoreAI – Say Goodbye to AI Prompt Trial & Error!
... 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

0

Self-Promotion

p/self-promotion

by

Saji John Miranda

Saji John Miranda

•5mo ago
🧠 “Why is your AI still inconsistent?”
... 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 ... ... 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

0

General

p/general

by

Nika

Nika

•5mo ago
What kind of products are totally overdone?
... resume projects"? Comment from Nika(@busmark_w_nika): @siddharthpereiras  Siddharth, but AI has been overused since 2023. The whole year 2024 and these 3 months in 2025 are about AI :D Comment from Nika(@busmark_w_nika): DoCoreAI   @sajijohn  supported :) Comment from Nika(@busmark_w_nika): @sajijohn  Everything is so highly "AI". Do you think we will be ever able to create something non-AI related? Comment from Saji John Miranda(@sajijohn): Great question ... ... they don t add much beyond what s already out there. Underrepresented / Blue Ocean? I d say AI tools that focus on thinking rather than writing helping users reason better, make decisions, or reduce cognitive overload. LLM fine-tuning alternatives

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