Several models. None copying the other. Everything on record.
MyAILab puts a hard question to several AI models at once, each in its own role and none seeing the others' answers, checks the numbers, and keeps the decision with its reasons, including what was discarded and why.
check_circleNeutral between models; not affiliated with any AI model maker.
How it works
Open a panel
One question, a dossier of measured facts, and a scoring rule fixed before any answer comes in.
Answer blind, in a role
Producer, critic, reviewer, auditor, moderator: each model answers without seeing the others, because the system does not hand them over.
Keep the decision
Who contributed, in which role, with which model; the decision, the alternatives that lost, and why each one lost.
What the lab does
Blind answers
The models are kept apart, so agreement means something. In a real session, 74% of the apparent consensus disappeared when the models could not read each other.
Three answers, not two
Proven in green, contradicted in red, unknown in gray. A probability comes from a count, or the field stays empty.
Numbers checked
Claims are checked against a source or a count. An automatic audit caught a 57× error that four models had repeated.
The decision on record
The decision stays with its reasons, the alternatives that lost and why, and who contributed in which role.
Cost you can see
The lab measures what running AI costs and shows it. In one session, 87.5% of the cost was re-reading context, not generating.
Your workbench
Command chat with the page or file as context, a prompt library by subject, skills and connectors, AI documents filed in the DOCZ vault, and agent tasks with the full history.
Who it's for
Decisions that are expensive to get wrong
Put the question to several models in different roles and act only on what was proven, with the doubts left visible in gray.
Whoever has to explain a decision later
Opens the record and shows who said what, in which role, what was discarded and why.
The curious, for fun or for proof
Blind battles: two models, one question, you vote, at myaibattles.com. Also in the lab, but not its focus.
Early access
MyAILab is in early access. If you already have access, sign in; otherwise ask for it. There is no public price list yet.
Questions
Is MyAILab a multi-model chat?
No. It is not a multi-model chat window and not an assistant that answers for you. It is for decisions that are expensive to get wrong.
Why do the models not see each other?
So that agreement means something. In a real session, 74% of the apparent consensus disappeared when the models answered blind, and only 9 of 34 ideas had real agreement among four blind models.
What does gray mean?
It means the claim cannot be proven or disproven yet. Green is proven against a source or a count, red is contradicted by one; the system does not invent confidence scores.
Which AI models does it use?
Several. MyAILab is neutral between models and not affiliated with any AI model maker. The record says which model answered in which role.
What is kept after a panel?
Who contributed, in which role and with which model; the decision; the alternatives that lost and why each one lost.
Where are the AI battles?
Blind battles, two models and one question where you vote, are an option of the lab at myaibattles.com. They are not the focus; the panel is.
Make the next hard decision on record
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