User repository on GitHub
Review and guidance for SystemOne-style decision components in SeerScore
- Forks
- 0
- Last pushed
- Updated Oct 2026
Repo stats from the GitHub API, cached Oct 2026.
Jev directory
CommunityJev Practices & Patterns
SystemOne in SeerScore: workflow review
A documentation-only review of where a typed, local SystemOne decision component could help the SeerScore prediction pipeline, with independent perspectives from Hermes Agent and Cursor Agent and no integration code included.
- Stars
- 0
- Reading time
- 2 min
- Published by
- Community
- Author
- martyschoff
- Last verified
- Oct 2026
Used inJev for Software & DevTools
- Capabilities
- Open source
Highlights
- Documentation-only review of where a typed, local SystemOne decision component could fit in the SeerScore prediction pipeline; no integration code is included.
- Two independent reviews: HERMES-REVIEW.md from Hermes Agent and OPUS-REVIEW.md from Cursor Agent (Claude Opus 5.5), based on repository inspection.
- Bottom line: use SystemOne for bounded classification and routing decisions, not for deciding whether a real-world prediction came true.
- Recommends shadow mode first, keeping ambiguous or failed classifications in review rather than deleting claims, and validating thresholds on labeled examples.
- Scope note: the SeerScore repository (veracity2/) is not included, and latency figures are labeled unmeasured hypotheses.
Watch out
README reviewed 2026-10-17; it is a review document, not a working integration: the SeerScore code it inspects is absent, latency estimates are labeled unmeasured, and no license is listed.
Questions about this entry
Short answers drawn from the linked project or page.
A documentation-only review asking where a typed, local SystemOne decision component could help the SeerScore prediction pipeline; it contains analysis only, with no integration code.
Two independent perspectives: Hermes Agent's review in HERMES-REVIEW.md and a Cursor Agent review in OPUS-REVIEW.md by Claude Opus 5.5 (Medium), both based on inspection of the SeerScore repository.
Use SystemOne for bounded classification and routing decisions, not for deciding whether a real-world prediction came true; start in shadow mode and keep ambiguous or failed classifications in review instead of deleting claims.
Validate schemas, thresholds and model behavior on labeled examples before allowing any automated destructive action, according to the README's bottom line section.
Not directly: the scope note says the reviews refer to paths inside the SeerScore repository, which is not included here, and the file paths and line numbers are pointers that may drift as that checkout changes.
No. The scope section explicitly labels latency estimates as unmeasured hypotheses, and the README says no private endpoint, credential or model-host address is included in the document.
The captured excerpt covers only the intro, bottom line and scope, so the detailed findings inside the two review files and any license information are not available; GitHub shows 0 stars.
More Jev resources like this
An MIT-licensed case study with two working Python programs pairing Jev and Claude Code: a support-triage app with Jev inside it, and a Claude Code safety hook where Jev judges the agent's own shell commands. Tests and evals run offline, free.
Jev Practices & Patterns#community#github#python
A Laravel-ready PHP SDK for Laya, a self-hosted multilingual decision engine described as a Jev AI alternative: classify text in 100+ languages and get typed enums, ints and bools back without paying per-token fees.
Jev Repos & SDKs#community#github#php
Community
marcreichel/laya-phpPHP
marcreichel/laya-phpPHPAn open-source, local alternative to Jev: System-One decision models that answer the POST /v1/systemone shape — choice, yes/no, or score — for general decisions and browser-agent steps. Models ship as OpenJev-1.7B, 4B, and 8B, with a pip-installable Python package.
Jev Models & Reimplementations#community#github#python
Community
alanhuangyoo/openjevPython
alanhuangyoo/openjevPythonSelf-hosted workbench that screens JSONL or CSV into keep, review and reject partitions, then fine-tunes your own model and reports loss and perplexity on a held-out split.
Jev Practices & Patterns#community#awesomejev
Community
RenaGao/jev-dataopsPython
RenaGao/jev-dataopsPythonA Bangla-focused adaptation of Laya, the non-autoregressive typed-decision model: targeted data preparation, fine-tuning and evaluation for classification, routing and scoring on Bangla, Banglish and code-switched text, with the checkpoint still to come.
Jev Repos & SDKs#community#github#python
Community
shamspias/laya-banglaPython
shamspias/laya-banglaPythonTraining code for SearchJev, a fast calibrated System-1 model for search agents: given a search state and a decision schema, it returns typed predictions over legal field values in one forward pass of a Qwen3.5 backbone.
Jev Repos & SDKs#community#github#python
Community
EvoScientist/SearchJevPython
EvoScientist/SearchJevPythonFrom 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.