Guides users through real-time claim analysis, self-correction, and perception refinement.
Ever read a headline and thought, “Something feels off, but I can’t explain why?”
I built CLARi (Clear, Logical, Accurate, Reliable Insight), a custom GPT designed not just to verify facts—but to train your instincts for clarity, logic, and truth.
Instead of arguing back, CLARi shows you how claims:
Distort your perception (even if technically true)
Trigger emotions to override logic
Frame reality in a way that feels right—but misleads
She uses tools like:
🧭 Clarity Compass – to break down vague claims
🧠 Emotional Persuasion Detector – to spot manipulative emotional framing
🧩 Context Expansion – to expose what’s being left out
Whether it’s news, social media, or “alternative facts,” CLARi doesn’t just answer—she trains you to see through distortion.
Try asking her something polarizing like:
👉 “Was 5G ever proven unsafe?”
👉 “Is crime actually going up, or is it just political noise?”
It will be open sourced eventually. I need to figure out how to properly replicate the responses on other LLMs, whether local or not. I'm seeking help in this.