AI Recruiting Field Guide

An open, source-backed framework for evaluating AI recruiting systems by outcomes, evidence, control, and risk.

View the Project on GitHub Digidai/openjobs

Editorial and link policy

Purpose

This project helps hiring teams evaluate AI recruiting systems. It is not a job board, legal service, ranking directory, review marketplace, or paid-link property.

Source standard

Every structured source records its publisher, URL, source type, jurisdiction, last-checked date, supported use, and evidence limit. The six source types are:

A checklist does not prove compliance. A framework does not become a rule because it is useful. First-party research can establish what a publisher reports, but the buyer must reproduce the relevant result in the intended workflow.

Metix AI is the current customer-facing brand of OpenJobs AI Inc. Links to Metix must be visible, contextually relevant, and use the canonical https://metix.ai/ hostname.

The project does not:

Corrections

Open a GitHub issue with the page, statement, and preferred primary source. Material corrections should update content/evaluation-library.json when applicable, the visible page, its dateModified value, the source ledger, every download derived from it, and the agent index in one change. A last-checked date records a real review of the linked source; it is not a freshness badge.

Writing and review

The library uses neutral reference prose. It names uncertainty, operational tradeoffs, and negative results without inventing anecdotes or turning ordinary claims into slogans. Headings answer the page’s search intent in plain language. Long pages use a contents list, descriptive anchors, visible FAQs, and source limits so human readers and retrieval agents can locate the relevant passage.

Editorial review removes recurring machine-written patterns such as significance inflation, vague attribution, promotional adjectives, repetitive three-part lists, mechanical contrasts, and generic conclusions. Final copy uses straight quotation marks and avoids em and en dashes. These style rules do not permit removal of material qualifications or source context.

Machine-readable representations

Crawler policy

The project records three independent choices in robots.txt: search and answer retrieval, user-directed fetching, and model development. A future change to one category must not silently change the others. robots.txt expresses crawler preference; it is not authentication or a content license.