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Delibora

Run structured AI debates, pitch reviews, focus groups, audience simulations and idea tournaments with inspectable transcripts and reports

Community votes
0
DR by Ahrefs
4 no change since last check

Ahrefs Domain Rating benchmarked 8 Nov 2026, rebuilt 7 Nov 2026.

A multi-agent AI discussion platform that stages structured conversations between multiple AI models, each with separate briefs, to stress-test ideas and

What it is

Screenshot of the Delibora homepage
delibora.com, as visitors see it

Delibora is a web-based platform that runs structured AI debates and discussions by staging conversations between multiple AI participants. Each participant has its own brief and context, and a protocol determines who speaks when, with exactly one speaker per turn. The platform offers twelve formats including decision stress-tests, expert panels, judged debates, focus groups, and idea tournaments. Results are persisted as transcripts and reports that users can inspect and analyse. The service supports major AI models from providers like Anthropic, OpenAI, Google Gemini, and others, allowing users to choose a different model for each seat in a discussion.

What it is built with

  • Decision stress-test with opposing agents and convergence recommendation
  • Judged debate with neutral arbiter scoring
  • Expert panel with key insights without verdict
  • Focus group with moderated discussion guide and verified quotes
  • Idea tournament with bracket and kill cards
  • TribeMind synthetic audience with opinion tracking
  • Shark Tank pitch panel with cross-examination
  • Interview simulator for testing guides on simulated participants
  • MultiFormat workflow chaining multiple formats together
  • Support for major AI models including Anthropic, OpenAI, Google Gemini, and others
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Delibora metrics

Benchmarks for delibora.com: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
MetricValue
Domain Rating4 no change since last check
Trust Flow0 no change since last check
Citation Flow11 no change since last check
Referring domains1 no change since last check
External backlinks2 no change since last check

Ahrefs Domain Rating benchmarked 8 Nov 2026, rebuilt 7 Nov 2026. Majestic benchmarked 7 Nov 2026, rebuilt 7 Nov 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Delibora domain build sheet

Open the build sheet
Public RDAP record, last read 9 Nov 2026, 09:56 UTC.
Domain age2 months
Registered
Expires
RegistrarGoDaddy.com, LLC
DNSSECNot signed

Inspect delibora.com's registration

Delibora after-launch build log

Since Delibora launched on Maker Launches on 7 November 2026, these are the figures we have tracked.

Domain Rating (Ahrefs)
4 no change since launch
4 at launch (7 Nov 2026), 4 on 8 Nov 2026
Trust Flow (Majestic)
0
First measured 7 Nov 2026
Referring domains (Majestic)
1
First measured 7 Nov 2026

Day 1 since launch. Next receipt: day 30, 7 Dec 2026. We show what changed, not what caused it: many things affect these numbers. Nothing here is estimated.

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Questions from the bench

What makes Delibora different from asking a single AI model once?
A single model provides one voice in one framing with no dissent or minority position. Delibora stages multiple AI participants with opposing briefs who argue in structured formats, creating multiple perspectives and transparent reasoning that you can inspect afterwards.
Can you steer a discussion after it has started?
Yes. You can queue your own turn in the discussion and it will be taken before the next model turn, allowing you to steer the conversation without having to start it over.
What if you close your browser during a run?
The run persists. Every turn is saved when it is made, so you can close the tab, restart your machine, and come back tomorrow to find the run where you left it.
What happens in a Team Battle format?
Two saved Teams take opposite sides of the same question. Each team prepares privately first, then spokespersons debate in public. A neutral Arbiter scores five dimensions and delivers a verdict with reasons based on the cases that were actually made.
Is a synthetic audience in TribeMind or Reach Test a real sample?
No. A synthetic audience is a simulation, not a sample. It measures no real population and results are directional.

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