How Preuve scores your idea, and what the number means

Ten agents pull live evidence from 60+ sources, score the idea 0-100 on six factors, and put a source URL behind every claim. Nothing here is rated from training data.

Every claim audited across 410 paid reports.July 2026 citation audit · Last updated September 18, 2026 · View as Markdown

Your idea, one paragraph

A booking tool for independent physiotherapists, sold monthly, that fills last minute cancellations.

10 agents · 60+ sources

Cited score

74Launch-ready

Six factors, one number, a source URL behind every claim.

How does Preuve AI work?

Four steps, one grid. You write a paragraph, ten agents go and read the market, the runs are cross checked against each other, and a cited number comes back.

01Input

You describe the idea

One paragraph covering three things. No deck, no spreadsheet.

What you are building

A booking tool that fills last minute cancellations

Who it is for

Independent physiotherapists, solo practices

How it makes money

A monthly subscription per practitioner

Nothing else is required to start a scan.

02Fan-out

10 agents query in parallel

Each agent owns one domain, from competitors and market sizing to regulation and hiring, and pulls live evidence from 60+ data sources.

Your ideaCompetitorsMarket sizingDemand signalsCommunity sentimentRegulationFundingHiringPressReviewsDevelopercrunchbase.comstatista.comtrends.google.comreddit.com/r/SaaSsec.govpitchbook.comlinkedin.comtechcrunch.comg2.comgithub.comYour ideaCompetitorsMarket sizingDemand signalsCommunity sentimentRegulationFundingHiringPressReviewsDevelopercrunchbase.comstatista.comtrends.google.comreddit.com/r/SaaSsec.govpitchbook.comlinkedin.comtechcrunch.comg2.comgithub.com

03Converge

Findings are cross-validated

When two model runs disagree, the verdict reruns until they converge.

Run ARun Bdisagreererun until they agreeAgreed

04Output

You get a cited 0-100 score

Six factors, one number, a source URL behind every claim, plus risk flags and 2-3 pivots that could lift it.

74Launch-ready

Only 17.5% reach 70+.

A source URL behind every claim

crunchbase.com

sec.gov

statista.com

Risk flags2-3 pivots

Free scan in about 60 seconds. Full paid report in about ten minutes.

The scale

What does your viability score actually tell you?

One number on a 0-100 scale, cut at 40 and 70. Where it lands is the whole message.

74
04070100

only 17.5% reach 70+

Strong headwinds

0-39 NO-GO

The market is signaling hard against the idea as framed. Rethink the core, not the wording, before you write code.

Worth reshaping

40-69 CONDITIONAL

Where most ideas land. Positioning, target, timing, or crowding is holding it back. A sharper angle often moves the number 10-20 points.

Launch-ready

70-100 GO

Strong signals across the board. Only about 17.5% of scored ideas reach this band, where most AI validators hand out a 75-85 to nearly everything.

Six factors

What does the score measure?

The rail shows how much live evidence each factor found. It is not the factor weight, and weights are not published.

Market

Market size & growth

Bottom-up TAM/SAM/SOM and whether the market is expanding or shrinking.

Demand

Real demand signals

Whether people search for, complain about, or pay to solve this. Not a hunch.

Competition

Competitive density

How crowded the space is and whether incumbents already solve it well.

Moat

Moat durability

How easily the idea is copied, and what makes it defensible.

Economics

Business model viability

Pricing power, acquisition cost reality, and a path to margin.

Risk

Regulatory & execution risk

Legal, compliance, and operational blockers that quietly kill ideas.

Limits

What the score does not tell you

Your ability to execute

It does not score you

It rates the idea and its market, not your ability to execute.

A guarantee

It is not a guarantee

A probability read on public evidence available today.

A final verdict

It is a snapshot, not a verdict

Change the target, positioning, or timing and the number moves.

What a low score is really telling you

A low score is a direction, not a verdict. It usually means one of these, and each is fixable before you build.

01

you

The market is crowded

15+ competitors already doing this. You need a sharper angle than the incumbents.

02

peaknow

The timing is off

The market may not be ready, or it peaked two years ago.

03

4266four angles

The positioning is wrong

Same product, different framing, different score. One idea tested across four angles ranged from 42 to 66.

04

The target is too broad

Narrow to a specific buyer and the demand signals sharpen.

What is open, and what stays under the hood

Under the hood

The exact factor weights, thresholds, and agent prompts are proprietary and stay unpublished.

Factor weightsThresholdsAgent prompts

Open to you

Every factor is scored against live, cited evidence you can open and check yourself. The verdict is auditable even though the recipe is not.

A claim in the reportstatista.com

Common questions

You describe your idea in a paragraph. Ten AI agents query 60+ live data sources in parallel, each covering one domain (competitors, market sizing, demand signals, community sentiment, regulation). Findings are cross-validated across models; the result is a 0-100 score with a source URL behind every claim, plus risk flags and 2-3 suggested pivots.

Find out where your idea actually lands

One paragraph in, a cited 0-100 score out, in about 60 seconds.

Every claim audited across 410 paid reports.July 2026 citation audit · Last updated September 18, 2026 · View as Markdown