Validate your startup idea before you build it.
Ideation is ewpire's first step. Before you build anything, a consensus of the world's strongest AI models pressure-tests your idea – niche, demand, competitors, saturation – and shows you how strong it really is, where they agree, and where they don't.
How it works
Propose
Each frontier model independently sizes up your idea: the niche, the real demand, the competitors, and how saturated the space already is.
Critique
Every model reads the others anonymized and challenges what is weak, so groupthink and a single model's blind spots get caught.
Synthesize
You get one clear read on its viability, a confidence score computed from how many models took the same position and how tightly their reads clustered, and an agreement map: where the strongest models back your idea, and where they diverge.
What you get
- One synthesized verdict instead of five conflicting chat windows
- A confidence score computed from the models' own positions – not one model's bravado
- An agreement map: where top models back your idea, and the precise points where they diverge
- A read on niche, demand, competitors and saturation
- Market sizing: TAM, SAM and SOM with the assumptions behind them
- The model each seat actually ran, recorded with the report
- The idea saved, ready to flow straight into Validation
Why it matters
Most founders fall in love with an idea, ask one AI that politely agrees, and build for months on a confident guess. A consensus shows you where the models genuinely back your idea and where they doubt it, so the riskiest assumption is the thing you test first, not the thing you discover after launch.
Ideation FAQ
Is this investment or business advice?
No. Ideation is structured deliberation, not advice. The confidence score and agreement map are there so you decide with your eyes open.
Does Ideation or Validation validate my startup idea?
Ideation validates the idea itself – whether it is worth building. Validation is the next step: it builds the MVP that lets the market validate it. Vet the idea first in Ideation, then build it in Validation.
What does a run cost?
Credits, drawn from the same balance as the other two steps. How many depends on the depth you pick, and the selector shows each level's cost before you start. The free credits a new account gets cover a first report at any depth open to it. If the engine cannot produce a report, the credits go back to your balance automatically. Current plans and credit prices are on the pricing page.
What do the depth levels change?
There are six, from a quick read to the deepest. Going deeper buys stronger models first, and at the top of the ladder more of them as well, for more credits – the same report, argued harder. The two deepest levels are for accounts on a paid plan. Every level below them is open to a free account and is still a real multi-model consensus, never one model talking to itself.
What is in the report?
A verdict – pursue, reshape or park – with the thesis behind it. A confidence score and the basis it was measured on. Market sizing: TAM, SAM and SOM as ranges, with the assumptions written out. The demand signals and competitors the models found, and how saturated they judge the space to be. The risks, the dissent map, and a first experiment to run with the riskiest assumption named. Every figure is a banded estimate, and where agreement could not be measured the score is left out rather than filled in.
Which models deliberate?
Frontier models from OpenAI, Anthropic, Google, Mistral, DeepSeek, Alibaba (Qwen), Zhipu (GLM) and Moonshot (Kimi) – three of them at the lightest depth, up to seven at the deepest, never all from one lab, and routed for you as the roster changes. You do not pick or configure them, but every run records and shows the exact model each seat answered from, so the report says who said what.
What happens to the result?
It is saved to your project and becomes the input for Validation, so the idea you vetted is the idea you build.