tarunchandel/jev-ai-emails-flow
User repository on GitHub
AI-powered email flow automation
- Forks
- 0
- Last pushed
- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
Jev directory
CommunityJev Tools & CLIs
Jev AI Email Flow Automation
An intelligent email parsing and workflow automation system for corporate actions: a Jev ingestion gate decides whether attachments need OCR, then Jev classifies the parsed email as a cash dividend, M&A deal, stock dividend, ticker change, or spam, with Gemini handling LLM and Vision steps.
- Stars
- 0
- Language
- Python
- Reading time
- 2 min
- Published by
- Community
- Author
- tarunchandel
- Last verified
- Oct 2026
Used inJev for Finance & Fintech
- Languages
- Python
- Capabilities
- Open sourceRequires API key
Highlights
- Two-stage Jev pipeline: an ingestion gate judges whether attachments or OCR are required, then a core decision classifies the event type.
- The gate is a Noul question routed to Gemini LLM/Vision only above a 0.50 probability; below it, raw text goes straight on.
- Core event choices: cash dividend, M&A or tender offer, stock dividend, ticker change, and spam or irrelevant.
- README positions Jev as a typed, calibrated decision layer (Choice, Score, Noul) answering in roughly 50 to 100 milliseconds.
Watch out
README reviewed 2026-10-17; the captured excerpt cuts off inside the architecture mermaid diagram, so setup steps, dependencies, keys, deployment and licensing are not documented. The repo has 0 stars and no license.
Questions about this entry
Short answers drawn from the linked project or page.
An email parsing, classification, document OCR and workflow automation system for corporate actions, powered by Jev AI through typesafe-sdk, TypeSafe's System One decision engine, and Gemini LLM/Vision.
Twice: an ingestion gate answers a Noul question about whether attachments or OCR are required, and a core decision answers a Choice question for the corporate-action event type.
Cash dividend, M&A or tender offer, stock dividend, ticker change, and spam or irrelevant, according to the README's architecture diagram.
Only when the ingestion gate's probability is above 0.50: Gemini LLM/Vision downloads the PDF or image, performs OCR, and flattens it to text for the core decision.
The README describes Jev as an ultra-fast structured decision layer producing typed, calibrated decisions in roughly 50 to 100 milliseconds, unlike LLMs that generate text or prose.
Not from the digest alone: the captured README cuts off inside the mermaid diagram, so install steps, dependencies and required API keys are not documented in the excerpt.
tarunchandel built it; GitHub metadata shows Python, no license, 0 stars, created 2026-10-03 and last pushed 2026-10-04.
Reactions & coverage
Posts, threads, and videos about this entry from around the web.
X: 1,565 emails, six decision models
X: Fifty emails in under two seconds
More Jev resources like this
A Python sidekick that listens to a call (FaceTime, Zoom, Discord or a stream) and fires a soundboard clip when Jev thinks the moment is funny. Jev answers two questions per 1.2-second audio slice, a Noul for react-now and a Choice for which clip, at about $0.30-0.40 per hour of chatter.
Jev Tools & CLIs#community#github#python
Community
Kiggsworthy/jev-soundboardPython
Kiggsworthy/jev-soundboardPythonGmail triage with TypeSafe Jev: every few minutes it reads new inbox mail, asks Jev for a category with calibrated confidence, then labels, archives, unsubscribes from verified marketing or cold outreach, and moves scams to Spam.
Jev Tools & CLIs#community#github#gmail
Community
hellolitebox/litebox-inbox-jevPython
hellolitebox/litebox-inbox-jevPythonConfidence-gated email triage for founders, powered by Jev: it sorts each message into urgent, wait or noise and only auto-acts when sure. Doubtful mail goes to a morning digest with suggested actions for one-tap approval.
Jev Tools & CLIs#community#github#python
Community
AdityaPagare619/inboxpilotPython
AdityaPagare619/inboxpilotPythonAn insurance claim triage tool that classifies loss type, scores documentation completeness, and flags fraud indicators in a first-notice-of-loss narrative, routing claims without denying any or setting a payout.
Jev Tools & CLIs#community#python#insurance
Community
Multi-agent trading research with optional Jev screening of StockTwits and Reddit posts for company relevance before sentiment analysis runs.
Jev Tools & CLIs#community#python#trading
Community
TauricResearch/TradingAgentsPython
TauricResearch/TradingAgentsPythonAn independent open-source pipeline that gives Jev vision: it detects and tracks objects in images, video, and RGB-D camera feeds, then asks Jev a typed question about each relevant object and prints the chosen answer with its confidence.
Jev Tools & CLIs#community#github#python
Community
CharlesFeng0314/JEV_seesPython
CharlesFeng0314/JEV_seesPythonFrom the Jev guides
Original write-ups on what this entry is for.
From the Jev AI model community
Posts from builders shipping with Jev right now.