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Contents VORA VORA Guide

Why VORA

Today's AI's biggest problem: confidently wrong answers. VORA builds answers from your documents, your friends' AIs, and verified tools, structurally reducing hallucinations.

VORA Chat and Tool Demo

Why VORA — interactive experience

See how your sources, Friend AIs, verified tools, and a review loop address common AI limits.

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Me

Verify the overlooked risks, counterexamples, and stale information in this launch plan.

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General

A general AI suggests standard steps from public knowledge. It has not used my work context, private sources, or a friend’s expertise.

AI Evidence RAG Evidence Friend Evidence Tool Evidence

No more confident guesses. Today's AI's biggest problem: confidently wrong answers. VORA builds answers from your documents, your friends' AIs, and verified tools, structurally reducing hallucinations.

Three limits of today's AI

Other AI is structured around "asking one AI, one time."

  • Confident lies (hallucination) — "The value is wrong — don't just say 'ask for changes'"
  • Generic and vague answers — It doesn't know your domain or context, so it stays abstract
  • Features scattered across services — PPT in one app, images in another

— Real frustrations uncovered through repeated persona interviews (5 Whys)

How VORA builds an answer

"My AI + Friends' AI + VORA AI build the answer together."

  • Multimodal Hyper-RAG — MS Office · HWP · PDF · image · audio · video — 35+ file types, fully analyzed
  • Friend AI 1:N Collaborate (up to 5) — Different expertise, tools, and knowledge come together in one chatroom to build deeper answers.
  • Your own Personalized AI — An AI defined by your info, materials, and voice — always answering in your way. Add documents or chats as training whenever you want.
  • Power Research · Discussion modes — Multi-angle analysis and AI debate for objective answers

How real workflows connect

  • Team research: search your customer interviews and a friend’s market files, then prioritize findings in Discussion.
  • Reporting: compare web, paper, and filing evidence, create an HWP or PPT, and preserve it in AI Knowledge Base.
  • Content production: ground copy, image, and video drafts in brand files, then assign perspective-specific reviews to Friend AIs.
  • Recurring work: hand a validated reporting format to Automated Daily Tasks or Background Tasks and accumulate the output as knowledge.

A verification loop for better accuracy

VORA’s files, tools, and multiple-AI structure can reduce unsupported answers and add review paths, but no AI is always correct.

  1. Show sources and publication dates for AI Knowledge Base retrieval and external search.
  2. Have Friend AIs draft independently, then compare agreements and conflicts.
  3. Ask a critic or another participant to find counterexamples, missing conditions, and stale information.
  4. Have a source owner or qualified professional confirm consequential figures and conclusions.

The shortest path to start

  1. Define your AI’s role in one clear sentence.
  2. Upload one or two frequently used documents to AI Knowledge Base and check their analysis status.
  3. Invite one friend or add an existing Friend AI to a normal chat.
  4. Run one real question that states each AI’s role and required evidence.
  5. Turn the reviewed answer into a file, move it to AI Knowledge Base, and reuse it in the next question.