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三大クラウドの機能名を、TypeSafe AI の System One モデル Jev が確率つきで判定するデモ
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CommunityJev Demos & Experiments
Jev Cloud Quiz
A 30-question quiz that names a feature from AWS, Azure or Google Cloud with the brand removed and asks Jev which cloud it belongs to, drawing the returned probability distribution as three bars.
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- 2
- Language
- TypeScript
- License
- APACHE-2.0
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- Community
- Author
- minorun365
- Last verified
- Oct 2026
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- TypeScript
Highlights
- Brand names are stripped and the three clouds' equivalent features are lined up, so a question cannot be answered from the vendor's name.
- The three bars are the model's probabilities plotted directly — Jev returns a distribution over options and generates no text.
- Deliberately ambiguous questions come back with shorter bars, since the model's confidence drops when the answer is unclear.
- The key stays in a Lambda in us-west-2 to shorten the Jev round trip, while the quiz itself is served from CloudFront.
Watch out
This is a demo with 30 fixed questions about cloud service feature names, and the README reports no accuracy figures or failure rates — the only claims are that a probability distribution comes back and that confidence drops on the ambiguous ones. It is also AWS-shaped end to end: the deciding function is a Lambda pinned to us-west-2 to minimize the round trip to Jev, the page is served from a CloudFront edge location, and deployment stores the key as an SSM SecureString before running the CDK scripts. The interface and documentation are in Japanese. Without TYPESAFE_API_KEY exported, npm run serve has nothing to call. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
That is exactly what the question set is built to prevent. Brand names — Amazon, AWS, Azure and Google — are removed, and functionally similar features across the three clouds are placed side by side, so the vendor's name is not the tell. On the questions chosen to be ambiguous, Jev's confidence drops and the bar lengths split accordingly.
No. Only the Lambda holds it. The page calls a classify endpoint served by the deciding function, which keeps the key and makes the Jev call itself. That function runs in us-west-2 specifically to keep the round trip to Jev as short as possible, while the page itself is served from a CloudFront edge location.
npm install, export TYPESAFE_API_KEY, then npm run serve, which runs both the classify API and the static files. npm run dev is only for hot-reloading the interface, with API calls proxied to that server. Deploying means AWS: store the key as an SSM SecureString in us-west-2, then run npm run infra:dry-run and npm run infra:deploy.
A demonstration. The bank is 30 items about cloud feature names, with no scoring, difficulty ramp or held-out set described, and the README gives no accuracy numbers — only that Jev returns a probability distribution instead of generated text, which is plotted as-is on the three bars. Useful for seeing the choice primitive wired end to end, not for measuring anything.
Thirty questions, each naming a cloud feature with the brand removed and asking which of AWS, Azure, or Google Cloud it belongs to. The three vendors' similar-role features are lined up so the name alone is not a tell, and Jev returns a probability per cloud that the page draws as three bars.
An AWS setup: the deciding Lambda runs in us-west-2 to shorten the round trip to Jev, the page is served from CloudFront, and the key is stored as an SSM SecureString before the CDK scripts run. Deploy with npm run infra:dry-run then npm run infra:deploy.
Japanese. The README and UI are written in Japanese, and the project is Apache-2.0 licensed, so an English-only team should expect to translate the instructions before running or adapting it.
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