Highlighting topic-relevant passages by confidence instead of matching keywords alone
Jev Productivity Demos
See 252 real Jev demos showing how it handles daily tools, workplace workflows, and productivity apps, with videos and the original posts.
Listening to a presentation, following slides and notes, and tracking which talking points remain
Using Grok to propose moves across 20+ cancer futures, sub-0.3-second state decisions, and Patientic to visualize branches
Turning a typed request into a matching generated interface while the user writes
Evaluating candidate websites and recommending the option that best matches the user's need
Filling multiple personal-information fields together instead of entering each value separately
Recognizing personal details from the clipboard and mapping them into matching form fields automatically
Returning private choice, score, and null decisions in one pass on an iPhone through Apple's Neural Engine
Mapping 171 source-linked Jev projects with full-text search and a live ecosystem graph
Combining Stockfish move analysis with semantic pattern detection to reveal recurring chess strengths and failures
Processing 34 months of bookkeeping work in 20 seconds for $0.32 and comparing it with a $20,000 service
Finding relevant SaaS directories and tracking the resulting domain-rating gains without signup
Scraping coffee-roaster product pages, classifying each coffee, and preserving favorite cups for later recommendations
Predicting which colors a typed word most likely represents and turning the results into interactive particles
Combining a 1980s Lisp expert system with typed decisions to revisit rule-based AI ideas
Searching saved screens across Mac apps from remembered text and ranking the results locally
Switching an existing design system instantly between minimalist, brutalist, playful, and premium styles without generating code
Turning a typed question into a fast Real8ball-style oracle answer through System One decisions
Choosing which UI component should render each chat response
Classifying typed or spoken in-app feedback and filing it automatically into the right inbox category
Matching 18 candidate replies to three intent-aligned options in 0.28–0.53 seconds per call
Generating a complete 3D scene from typed decisions in under one second
Producing full sentences by chaining repeated typed choices beyond the model's intended decision-only use
Ranking the most useful tools for the currently viewed code cell in an adaptive marimo interface
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