Give your agent taste. And judgment.
Agents are great at doing. They are not good at deciding yet. Before a call that matters, a line of copy, a deck, a price, a new product, Vaticia sends it to a swarm of 100 to 100,000 agents, each with its own profile and personality, and hands back the decision.
The problem. Agents execute. They don't decide.
Ask one AI and you get one opinion, and it leans toward whoever is asking. Phrase the question differently and the answer moves. Yet a company is a stack of decisions: the price, the name, the launch, the deck. Pick them by guess and the stack leans until it falls. Pick them well and every new decision has solid ground.
How it works. Ask before you commit.
Any decision.
Copy, a deck, a price, a product idea.
We size the crowd.
You see the price first.
The crowd decides.
Each agent reads, compares and chooses.
You get the call.
The answer, how sure, what to fix.
Under the hood. A swarm, not one opinion.
Every model carries the habits of its training. So we never trust one. We build a population, give every agent its own profile and personality, and spread the crowd across different model families. Then we count, and the spread tells us how sure to be.
- 01
Population
Who they are: role, age, country, income, company, what they use today.
- 02
Personality
How they think: cautious or bold, loyal or curious, price-first or taste-first.
- 03
Model mix
The same profile runs on different model families, so no single model's training tilts the result.
- 04
Count
Votes, reasons and objections, tallied by segment. A tight crowd means a sure answer.
Try it. Pick a question, then see the verdict.
Numbers are illustrative.
Customer testimonial. One AI, two answers.
Every time I asked my AI, the answer changed with how I phrased it, or with who was on which side. I could never settle a decision. Now I ask Vaticia, and when I decide, I'm sure.
Pricing. Pay per question. No subscription.
A headline needs 100 agents. A launch, up to 100,000.
We pick the crowd size. You can choose it yourself.
You approve the price before anything runs.
Questions.
What kind of decisions?
Anything with people on the other end: a headline, an email, a deck, a price, a product idea, a name, positioning, a research question. If someone will read it, buy it or vote on it, a crowd can judge it.
Who are these agents?
AI agents, each with a profile (role, age, country, company, habits) and a personality, spread across different model families. They are models of people, not people. That is how we can run 100,000 of them on one question.
Why not just ask my AI?
One model gives one opinion, and it leans toward whoever is asking. Swap the sides of a question and it swaps its answer. A crowd shows how far apart people are, who objects and why.
Is the first question really free?
Yes. Your first question runs on 20 agents, and the verdict arrives by email in about 30 minutes. After that you pay per question.
Who pays, me or my agent?
Either. There is no subscription: each question is paid on its own, often by your agent inside a budget you set. Agent access is in private beta.
How accurate is it?
We test it blind on past decisions where the real result is already known, and show you how close the crowd got. Ask us for the case closest to yours.
What happens to my material?
It is used for your run only. It is not shared, and it is not used to train anything.
Decide before you spend. Let your agent do the work, and check the big calls first.