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AI & Knowledge Systems

Proxxi.ai

Trust infrastructure for expert Q&A

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Industry

AI & Knowledge Systems

Year

2024–2025

Website

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Agentic knowledge platform for expert Q&A and knowledge economies. Designed the end-to-end product experience: how questions get answered, verified, and rewarded — with trust as a first-class feature.

Process

01

The challenge

AI can generate answers instantly, but when decisions matter, users still need human verification. The challenge isn't access to information — it's confidence: who is answering, why should I trust them, what's the incentive for quality, and how do we prevent reputation gaming?

02

The approach

We designed a simple surface experience that hides complexity: ask in plain language, system routes to best-fit experts, answer arrives with transparent credentials and confidence signals, then reward and reputation updates happen automatically. Trust was designed into the mechanics — not as a badge, but through visible proof, verification moments, and anti-gaming guardrails.

03

The outcome

A clearer core loop that users could understand in under a minute. Expert onboarding that reduced drop-off and improved early answer quality. Trust mechanics that made verification feel calm and normal. A scalable UX foundation for iterating incentive and reputation systems.

Gallery

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