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Contents VORA VORA Guide

3 Core Methods

AI that thinks for itself, understands your documents, and collaborates with friends — VORA's 3 core methods.

VORA Chat and Tool Demo

3 Core Methods — interactive experience

Explore autonomous execution, full-document context, and 1:N Friend AI collaboration.

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VORA ChatThree core VORA concepts
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AI team in this chat
MEMy AIUsed in answer Friend AINot in chat yet
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Me

Research a market-entry strategy from competitor and customer sources, then sequence the work.

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VORAAnswer depth 0 / 4
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

VORA uses 3 core methods to build deeper, more accurate answers, plus personalization and tools to grow your own Personalized AI.

01 AI That Thinks for Itself

With Power Research, Your AI plans step by step and runs research automatically. With Discussion, multiple AIs analyze from various angles and a verification AI cross-checks for unbiased conclusions.

02 AI That Understands Your Documents

Your uploaded documents are analyzed via 4 strategies — vector, keyword, knowledge graph, clustering — simultaneously. Not just searching — real context understanding, designed to reduce unsupported answers.

03 AI That Collaborates with Friends

Invite your friends' AIs into your chat or share your AI with friends. 1:N Collaboration — When different knowledge and perspectives meet, the answers go deeper.

How is answer context assembled?

A VORA answer is built from more than the current question. It combines your AI’s role, conversation context, selected tools, AI Knowledge Base, and the perspectives and permitted file scopes of participating Friend AIs.

  • Use of your own files is controlled by the current chat settings and your AI’s role.
  • When a Friend AI participates, permitted file scopes owned by that friend join collaborative retrieval.
  • Search and generation results can remain in the conversation for comparison, review, and document creation.

Which workflow should you choose?

  • Quick question or single task: use normal chat with only the Friend AIs and tools you need.
  • Multi-step research: use Power Research to plan and accumulate results by stage.
  • Debate or decision: use Discussion with at least two AIs to compare and test positions.
  • Long-running or recurring work: separate it into Background Tasks or Automated Daily Tasks.

A habit for evidence-grounded work

  1. State the subject, date range, decision criteria, and required deliverable.
  2. Choose the AI Knowledge Base scope and role of each Friend AI.
  3. Request source links, publication dates, and locations in the source.
  4. Ask another AI to find counterevidence and missing conditions.
  5. Turn the reviewed result into a file and save it to AI Knowledge Base for future work.