Our Commitment to Accuracy Across All Curriculo Inc. Products

At Curriculo Inc., we believe that trust starts with transparency. Our content team produces educational resources about resume writing, applicant tracking systems, hiring technology, employer best practices, and career development across both of our products: Curriculo (AI Resume Builder) and Curriculo ATS (AI-Powered Applicant Tracking System). This page outlines the standards we hold ourselves to.

Editorial Standards

Research & Sourcing

  • Primary sources preferred: We cite original research, surveys, and industry reports wherever possible. All statistics include attribution to their original source with direct links.
  • Named sources: We avoid vague attributions like “studies show” or “research indicates” without specifying which study or research.
  • Recency: We prioritize data from the last 2–3 years. Older data is clearly labeled with its publication date.
  • Multiple sources: Key claims are supported by at least one named, linked external source.

Authorship & Expertise

  • All articles are written or reviewed by team members with relevant professional experience in hiring technology, machine learning, or career development.
  • Author names, credentials, and professional backgrounds are disclosed on each article.
  • Expert reviewers (such as our advisory board members) are credited when they review content for technical accuracy.

Conflict of Interest Disclosure

  • Curriculo Inc. develops AI resume building and ATS products. All articles that reference Curriculo’s own products include a clear disclosure statement at the bottom.
  • Comparison articles strive for objectivity and include honest assessments of competitor strengths alongside Curriculo’s advantages.
  • We do not accept payment from third parties for product placement in our editorial content.

Corrections Policy

  • If we discover an error in a published article — whether factual, statistical, or attributional — we correct it promptly.
  • Substantive corrections are noted at the top of the article with the date of correction and a description of what changed.
  • Minor corrections (typos, formatting) are made without notation.
  • Readers can report errors by emailing contact@curriculo.me with the subject line “Content Correction.”

Content Review Process

  1. Research: Topic research with source collection and fact verification
  2. Drafting: Initial content creation by a team member with relevant expertise
  3. Technical review: Review by a second team member or advisory board member for accuracy
  4. Editorial review: Final check for clarity, sourcing, and disclosure compliance
  5. Publication: Content published with author attribution and modification date
  6. Ongoing monitoring: Published content is periodically reviewed for accuracy and freshness

ATS and Hiring Technology Content Standards

As Curriculo Inc. expands into employer-facing hiring technology with Curriculo ATS, our editorial standards extend to all content covering applicant tracking systems, recruitment technology, and AI in hiring. Content about ATS technology must:

  • Accurately represent how applicant tracking systems work, avoiding fear-based messaging that exaggerates rejection rates without context
  • Distinguish between legacy keyword-matching ATS systems and modern signal-based approaches like Curriculo ATS
  • Include perspectives from both job seekers and employers when discussing hiring technology
  • Cite specific ATS platforms by name when making comparisons, with verifiable feature claims

Employer-Focused Content Editorial Standards

Content aimed at employers and recruiters using Curriculo ATS adheres to additional standards:

  • Compliance accuracy: All content referencing employment law, EEOC guidelines, or regulatory requirements is reviewed by qualified professionals. We do not provide legal advice and clearly state this in relevant articles.
  • Hiring best practices: Content promotes evidence-based hiring practices including structured interviews, skills-based assessment, and bias reduction techniques.
  • ROI and metrics claims: Any claims about hiring efficiency, time-to-hire improvements, or cost savings are supported by named data sources or clearly labeled as projections.
  • Candidate experience: Employer-focused content always considers the candidate experience, reflecting our dual commitment to both sides of the hiring market.

AI Ethics in Hiring Content Guidelines

Given that both Curriculo products use AI, we hold ourselves to strict editorial standards when discussing AI in the hiring context:

  • Transparency: We clearly disclose how AI is used in our products, including candidate scoring, skill gap analysis, and automated feedback generation.
  • Bias awareness: Content acknowledges the risks of AI bias in hiring and explains what measures Curriculo ATS takes to mitigate these risks, without overpromising elimination of bias.
  • Human oversight: All content reinforces that AI should augment human decision-making, not replace it. We never suggest that AI alone should make hiring decisions.
  • Regulatory landscape: Content referencing AI hiring regulations (such as NYC Local Law 144 or EU AI Act) is reviewed for accuracy and updated as regulations evolve.

Product Comparison Fairness

When comparing Curriculo ATS to competing applicant tracking systems, we commit to:

  • Testing competitor products firsthand or citing verifiable public documentation for feature claims
  • Acknowledging competitor strengths honestly, not just highlighting weaknesses
  • Using current pricing and feature sets, with dates noted for when comparisons were last verified
  • Clearly distinguishing between objective feature comparisons and subjective assessments of user experience
  • Including a disclosure that Curriculo Inc. is the publisher and has a commercial interest in the comparison

Contact Us

Questions about our editorial standards? Spotted an error? Contact us at contact@curriculo.me.

Last updated: March 2026