Agionic

Agionic started as a conversion-focused AI chatbot — the kind meant to guide visitors toward signing up or buying. But when I reviewed the early chat logs, something more valuable stood out: the friction. People weren't chatting for fun or small talk — they were confused, lost, or stuck. And their messages were revealing the exact points of breakdown in the journey. That insight shifted everything. Instead of trying to push people toward outcomes, I pivoted Agionic into what it is now: a lightweight feedback engine that quietly captures where users hesitate, what they don't understand, and what's not working — in their own words, right in the moment. No complex setup. No floating FAQs. Just a minimal, focused layer that helps growth teams spot conversion blockers, UX leads uncover usability gaps, and consultants surface presentable insights for clients — without needing heatmaps, surveys, or long ramp-up times.