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CommunityTools & Integrations

Crowdcheck

Test a social post on 10,000 simulated AI readers with their own jobs, tastes, and memories before the real internet sees it.

Open crowdcheck-ai.vercel.app
Category
Tools & Integrations
Format
Playground
Published by
Community
Author
—
Added
2026-09-25
Last verified
2026-09-25
Tagscommunityplaygroundsocial-mediafeedbacknoul

Highlights

  • Readers like, dislike, repost, follow, and block, and posts stay private to you by default.
  • Draft comparison is stated not to change the audience, and a Checks feed sorts by latest or popular.
  • A Hall of Fame page collects the best-performing posts; every reaction comes from an AI reader.

Watch out

The page does not explain which Jev questions drive each reaction and names no author or cost.

Related terms

Glossary definitions related to this entry.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A Jev-shaped model on Cerebras and Qwen

Shannon 🤖☠️
Shannon 🤖☠️
@iamMrDuncan
·

Built an alternative version of @typesafeai but on @cerebras with Qwen 3.8 27b. Similar quality, similar performance, but vastly different cost. TypeSafe was way cheaper, and did beat Qwen on performance. Closest we can get using LLMs I think. Source: github.com/iammrduncan/ty…

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Jev benchmarked on two public safety corpora

Gaurav Gosain
Gaurav Gosain
@_GauravGosain
·

1/ Benchmarked TypeSafe's Jev on two public safety corpora. It doesn't generate text, it returns calibrated probabilities you threshold in code. 96.5% on prompt injection, all 662 messages in deepset/prompt-injections. No tuning. 325ms p50.

Terminal dashboard showing 96.5% accuracy on prompt injection and 89.0% pairwise on vulnerable code, with a context ablation and calibration plot.
Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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An open 151M-parameter decision engine

Hemant
Hemant
@heman10x
·

TypeSafe AI came out of stealth with Jev, and access is behind a waitlist. I built an open source version Verdict (Open-jev) you can run right now in a browser tab: And its a real post trained model..(link in comments) It is a post trained 151M parameters model. ModernBERT-base Show more

Image
Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Agent Handoff Gate: agents verify what they hand off

A local Telegram analyzer with Jev as the classifier

Dagmawi Babi
Dagmawi Babi
@DagmawiBabi
·

I vibe-coded this simple, open-source and local Telegram content analyzer using Jev as a classifier. Jev Classifier • jevclassifier.vercel.app Export your channel data as JSON and it will analyze each post's intent, quality, sentiment, and reaction tone and if it's a DM/Group Show more

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Read 2 replies

A Krunker-inspired FPS, decided by Jev

Neel Patel
Neel Patel
@Neel490
·

Maybe I’m just washed, but Jev is beating me at my own game. Built a Krunker-inspired FPS where you 1v1 Jev. Try it out yourself: jev-arcade.vercel.app/duel

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Diogo Almeida
Diogo Almeida
TypeSafe AI
@CompleteSkeptic

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Reply
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