whereismyai
ej
ej is an 11 MB decision model that answers routing and triage questions about text with probabilities on CPU.
ej is a small decision model designed for routing, triage, yes/no checks, and priority questions about text. It runs entirely on CPU from a single 11.4 MB file, working offline without any external API or GPU requirement. The software uses open weights and Apache-2.0 licensed code, distributed via pip install ejai. Users describe a decision, provide records, and receive a probability score for every option to set thresholds for automation. It suits teams making repetitive text decisions who want local execution and probabilities instead of unstructured text generation.
ej at a glance
- Best for: Software engineer
- Runs on: Python, self-hosted
- Pricing: Free
- Released: October 2026
- Category: AI coding tool
- Website: hitl.systems
Key features
- Runs on CPU and works offline
- Fits in an 11.4 MB file
- Provides probabilities for options
- Uses open weights and Apache-2.0 code
- Installs via pip
Use it for
- Routing text records
- Triaging support tickets
- Running yes/no checks on text
- Assigning priority to items
Alternatives to ej
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- jevgrep — Reduces coding agent costs by providing targeted, relevant repository context.
- Decisions API — Fast classification and routing decisions without generating free text.
- jcode — Optimized for massive parallelism with low memory usage per session.
- LangChain4j — Integrates LLMs and vector stores directly into Java applications.
- NanoJev — It runs parallel decisions and outputs probability distributions without output-token decoding.
- Keen Code — Classifies task complexity and routes models asynchronously.
- Jev Bisect — It uses exact rational arithmetic and integer candidate indexes for numeric searches.
- Mouse 1 — Finishes tasks faster than frontier models by processing agent decisions rapidly.
- Jevcrawl — Finds answer pages more often and cheaper than letting Claude crawl.
All ej alternatives