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    <title>DEV Community: welidalmansor3</title>
    <description>The latest articles on DEV Community by welidalmansor3 (@welidalmansor3).</description>
    <link>https://dev.to/welidalmansor3</link>
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      <title>DEV Community: welidalmansor3</title>
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      <title>I built an AI tool that saves 80% LLM costs &amp; catches hallucinations (Open Source)</title>
      <dc:creator>welidalmansor3</dc:creator>
      <pubDate>Mon, 15 Jun 2026 10:30:25 +0000</pubDate>
      <link>https://dev.to/welidalmansor3/i-built-an-ai-tool-that-saves-80-llm-costs-catches-hallucinations-open-source-36l3</link>
      <guid>https://dev.to/welidalmansor3/i-built-an-ai-tool-that-saves-80-llm-costs-catches-hallucinations-open-source-36l3</guid>
      <description>&lt;p&gt;We Cut LLM Costs by 80% for Non-English Languages (And Added an AI Lie Detector)&lt;br&gt;
 🚀🧠 &lt;br&gt;
Hey guys! 👋&lt;/p&gt;

&lt;p&gt;Have you ever noticed how expensive it is to run LLMs in non-English languages? I was looking at my Groq and OpenAI bills and realized something absurd: a simple Turkish sentence costs 3-4x more tokens than the exact same sentence in English.&lt;/p&gt;

&lt;p&gt;I call it the "Multilingual Token Tax."&lt;/p&gt;

&lt;p&gt;Worse, when the AI answers in these languages, it often hallucinates, and we have no way to verify it except asking the AI, "Are you sure?" (Which is basically letting a student grade their own exam 😅).&lt;/p&gt;

&lt;p&gt;So, I built IQ.ai—a free, open-source tool to solve both problems. It’s a Multilingual Token Optimizer with a built-in AI Integrity Engine.&lt;/p&gt;

&lt;p&gt;🛡️ What does it actually do?&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Cuts Token Costs by up to 80%I trained a custom Unigram tokenizer on a massive C4 corpus for Turkish, Arabic, and Hindi.&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Example: Where GPT-4 uses 12 tokens for a Turkish sentence, IQ.ai compresses it to 3 tokens. Same meaning, 75% less compute.&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Catches AI Hallucinations in Real-TimeWe added an Integrity Layer that runs automatically:&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;Web Verification: It searches the web (DuckDuckGo) for your prompt, pulls real URLs, and cross-checks the AI's answer against actual sources.&lt;br&gt;
Objective Confidence: It calculates a mathematical trust score based on Source Match (40%), Consistency (30%), and Claim Verification (30%).&lt;br&gt;
Enterprise Health Report: It weights Safety at 60% and Latency at 10%, because a fast lie is worse than a slow truth.&lt;br&gt;
🖥️ Try it out!&lt;br&gt;
👉 Live Demo Sandbox: &lt;a href="https://greatjobiq.streamlit.app/" rel="noopener noreferrer"&gt;https://greatjobiq.streamlit.app/&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;⚠️ Important Note: The link above is a public sandbox built purely for demonstration purposes so you can test the math and see the UI yourself. The full, production-ready version is prepared for deep enterprise integration. We keep the live demo limited strictly for security purposes and out of respect for the data privacy of our enterprise clients.&lt;/p&gt;

&lt;p&gt;Want to look under the hood, run it locally, or see how the core works? The code is fully open.&lt;/p&gt;

&lt;p&gt;📂 GitHub Repo: &lt;a href="https://github.com/welidalmansor3/iq-ai" rel="noopener noreferrer"&gt;https://github.com/welidalmansor3/iq-ai&lt;/a&gt;&lt;/p&gt;

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      <category>ai</category>
      <category>llm</category>
      <category>python</category>
      <category>nlp</category>
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