Triage & routing

### Jev only answers yes/no or pick-one. 16,000 calls: against gpt-5.4-mini and gpt-5.6-luna on four public datasets, then on a few thousand real pipeline decisions. Where it…

Jev was the tipping point - I built the last MySQL search statement - WPS ... # Jev was the tipping point - I built the last MySQL search statement ... So I built AILIKE. It lets…

What we're really tackling is this: How can AI truly assess a resume without falling into the trap of just echoing buzzwords? How do we know the candidate isn't just sprinkling…

koala73

github.com

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Geopolitical dashboard that batches Jev 1.13.0 headline-severity and topic classifications, validates the answers, and falls back when classification fails.

GiesN

github.com

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LangGraph email-intent workflow using a typed Jev choice.

kyotofin

github.com

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Classifies text-bearing PDF pages into IRS form and page-kind candidates with a confidence gate; document triage, not tax advice, and scanned pages need OCR.

realZachi

github.com

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PostgreSQL extension for semantic questions over table rows.

jexp

github.com

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Navigates a Neo4j graph by having Jev score neighbouring relationships, then beam-searching for the most probable path.

n3ndor

github.com

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Community n8n node for asking multiple typed questions over workflow state.

WiktorB2004

github.com

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LlamaIndex reranker and selector using Jev Score and Choice answers, with configurable confidence handling.

EugeneBoondock

github.com

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SQL-like filtering, ranking, classification, and scoring with natural-language predicates.

fazlerocks

github.com

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Read-only Gmail triage that stores messages locally and asks Jev for bounded category, urgency, and human-sender probabilities.

reachjalil

github.com

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OpenTelemetry log triage before more expensive analysis.

reachjalil

github.com

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Recursive choice over taxonomies larger than Jev's direct option limit.

AkashPriyadarshii

github.com

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Streaming filter and scorer for Parquet and JSONL datasets.

replynodes

github.com

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Fetches a public SaaS page as Markdown, then asks Jev ten bounded questions about likely first-visit comprehension; URL validation, caching, sanitization, and presentation remain…

elie222

github.com

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Email assistant where Jev is an optional classifier backend returning bounded categories and yes/no probabilities.

Riley Brown

@rileybrown

Yeah Jev by @typesafeai is very cool. It classified 500 emails in seconds. And it costed 3.5 cents.

vogel

@ryanvogel

this model is actually insane at email classification i tested it on 1500 of my own emails to see how well it works and I am blown away

Hassan

@nutlope

Jev + Kimi K3 for fraud detection! TLDR: Jev classified 100 emails in 1.42 seconds, then I routed the uncertain cases to Kimi K3. The full pipeline got 96/100 correct for only ~$0.07. Video is not sped up, check out the live run! Here was my process: I gave Jev 100 emails to

Sarvagya Kulshreshtha

@sarvagya_kul

JEV is INSANE. We gave it 400 companies and one candidate profile. In 12 seconds, it predicted which jobs the candidate had the highest chance of getting, assigned a confidence score and detected job-candidate mismatches. All for just $0.0005 It can also score

Paste a public PR link; Jev says if it is safe to merge or needs review.

nader dabit

@dabit3

Jev is really good at intent-based search! How it looks in Gmail: (for a huge inbox you'd prob let semantic search / embeddings pull first but still much better experience)

iagolast

@iagolast

Caso de uso de @typesafeai: Revisar todas las facturas de la empresa y clasificarlas contablemente en segundos 🫠

Duncan

@ephraimduncan

Built a model router with Jev by @typesafeai. Jev decides what model fits your request best and the request is sent to that model.

Malek Ould-Oulhadj

@malekoo

First @typesafeai use case, live in our Mac app: setup and troubleshooting help when no model is loaded. Model downloading, load failed, API returning 503, phone won't pair: the user asks, Jev reads the question with the whole built-in manual as state and decides, with

Pratyush Garg

@gargpratyush20

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Routes each Claude Code task to the cheapest model that can do it.

Joaquin Marcoff

github.com

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One batched call picks model tier, tools, skill and effort for each turn.

Raj Dhakad

github.com

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An agent-native router that picks a model by task complexity.

wang2

github.com

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A GitHub Action that reviews and classifies PRs with Jev alone.

Instructa

github.com

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Deterministic model routing for coding agents, with a skill for Codex.

Fayaz Ahmed

@fayazara

Made myself a little image classifier with OCR + Jev It was able to categorise ~900 images in 40 seconds Pretty cool

Sawyer Hood

@sawyerhood

thanks to @typesafeai jev I no longer have fill out all of those fields on prompt boxes. It picks the agent / model / computer / folder for me. - For a major rewrite it uses Fable + Claude Code. - Changes to an ios app run on one of my macs

Jeremy Huang

@1jehuang

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GitHub PR labels chosen by Jev, with size measured as scope, not lines.

Leo Mata

github.com

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The live Bluesky firehose, judged post by post, with a lane for humans.

Nikita Kolmogorov

@backmeupplz

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A Telegram bot that deletes only the spam Jev is sure about.

CodeAlive

github.com

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Input moderation for Mastra agents in one file.

t0t0

@t0t0_build

Un JEV me está monitoreando más de 25 grupos de whatsapp con clientes en tiempo real y evaluando si tengo que saber algo por urgencia problemas, pedidos irresueltos etc. Si tengo algo que saber, le avisa a una LLM que me escriba. 🔥