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Contents VORA VORA Guide

How Vora Designs Collaboration

What if it weren't one answer, but a collection of responses from different roles?

VORA Chat and Tool Demo

How Vora Designs Collaboration — interactive experience

See how invitations, assigned roles, and cross-checked viewpoints become one collaborative answer.

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VORA ChatMulti-AI collaboration board
Demo
AI team in this chat
MEMy AIUsed in answer Friend AINot in chat yet
Answer depth 0 / 4
Me

Should we launch next quarter? Review it together from marketing and engineering perspectives.

V
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

Most AI services are designed around one question, one answer. But real work rarely ends there.

  • A different perspective often needs to be summarized
  • Expert interpretation needs to be added
  • Results need to be reused in multiple directions

Not one answer, but responses from different roles

So Vora reframed the question:

AI tools with different roles respond together, friend AIs add their expertise and perspective, and the results flow as one stream. We call this structure collaboration.

Inviting and accepting friends

Create active invite links from the friend invitation screen. You can hold up to five active invitations at once; each link is valid for seven days and can be used by one person.

  • A person new to VORA: completing sign-up through the link immediately makes the new user and inviter friends, without a second acceptance dialog.
  • An existing member: the member reviews the inviter AI profile and becomes a friend only after choosing “Add Friend.”
  • If an existing member chooses Later or closes the dialog: the request remains in the notification feed, and they are not friends until it is accepted there.
  • If a link has expired or been used: ask the inviter for a new one. A used link cannot connect another person.

Adding Friend AIs to a chat

Once the friendship exists, open AI selection to review a Friend AI’s profile and available tools, then add it as a participant.

  1. In a normal chat, use the add-friend button by the input and select up to five Friend AIs—six AIs including your own.
  2. Discussion requires at least two and supports up to six participants selected from My AI, Friend AIs, and VORA AIs.
  3. For Power Research, select one research AI directly or use system assignment; in PDCA work, assign one AI to each task.
  4. Write roles into the request: “A’s AI checks market evidence, B’s AI checks technical risk, and My AI performs the final review.”

Why Friend AI collaboration is stronger

  • More perspectives: examine one question through marketing, engineering, legal, operational, or lived-experience lenses.
  • More evidence: permitted friend-owned file scopes join collaborative retrieval and can reveal connections missing from your own files.
  • More tools: combine paid tools a friend has authorized with your workflow, from research through document and media generation.
  • Mutual review: have one AI challenge another AI’s claims and evidence to reduce premature conclusions.

Visibility and collaboration boundaries

Becoming friends does not expose every file. A document marked Public in AI Knowledge Base may be referenced when a friend uses your AI; a Private document remains available only to you.

  • Before uploading, check personal data, contractual confidentiality, and your right to share third-party material.
  • State the required scope and purpose in a collaborative request, and keep sensitive material private.
  • For final results, identify the source and as-of date, then have the owner or a qualified reviewer confirm consequential decisions.