Editorial Policy

1. Our Core Mission & Editorial Focus

AI Core Updates (https://aicoreupdates.com) is an independent technology publication dedicated to hands-on testing, pricing analysis, and practical breakdowns of artificial intelligence tools, models, and platforms. In an ecosystem filled with promotional press releases and inflated benchmark hype, our goal is to provide developers, creators, tech professionals, and everyday readers with clear, fact-checked, and genuinely useful analysis.

2. First-Hand Testing & Analysis Methodology

We believe technology coverage is only valuable when backed by first-hand experience and primary research. When evaluating software tools, frontier language models, or developer frameworks, our editorial process follows strict criteria:

• Direct Hands-on Testing: Where software is publicly available, our team signs up, installs, or accesses the application directly to test user workflows, response latency, usability quirks, and error handling.
• Transparent Pricing Breakdown: We scrutinize token costs, subscription tiers, seat minimums, and hidden usage limits. We calculate real-world monthly costs rather than accepting promotional headline pricing.
• Clear Limitations & Caveats: Every detailed review includes explicit discussion of what the software does poorly, what hardware or environment it requires, and where alternative tools might perform better.
• Verification of Unsubstantiated Claims: If a vendor claims "state-of-the-art" benchmark scores, we examine the testing methodology, dataset splits, and prompt scaffolding rather than repeating marketing claims verbatim.

3. Sourcing and Primary Attribution

Our reporting prioritizes verified primary sources. Every factual claim, benchmark figure, funding announcement, or architectural update is traced back to verifiable origins:

• Official research papers published on arXiv, OpenReview, or institutional repositories.
• Direct corporate engineering blogs, release notes, and public source code repositories on GitHub.
• Direct quotes from named developers, researchers, or company representatives.
• Independent third-party evaluation datasets such as LMSYS Chatbot Arena, SWE-bench, and HumanEval.

We link directly to original sources within the text so readers can verify primary documentation for themselves.

4. Human Oversight and Named Accountability

While we use modern computational and language tools for research synthesis, outline organization, and data aggregation, every article published on AI Core Updates is written, fact-checked, and edited by a named human editor. Founder and editor Ratul Ahamed personally reviews every draft before it is approved for publication. We do not operate autonomous or unmonitored AI publishing loops. Automated drafts are treated strictly as initial research outlines until a human verifies each technical claim, adds screenshots or code samples, and confirms pricing accuracy.

5. Editorial Independence and Commercial Integrity

To preserve our readers' trust, our editorial decisions are completely independent of commercial partnerships:

• No Paid Editorial Coverage: We never accept payment, gifts, or incentives in exchange for positive reviews, favorable coverage, or article inclusion.
• Affiliate Transparency: When an article contains affiliate links to software tools, we clearly disclose this at the beginning or within the article. Affiliate relationships never influence our critical verdict, feature scores, or competitor recommendations.
• Clear Separation of Advertising: Third-party advertisements displayed via Google AdSense or sponsor placements are visually distinguished from editorial copy. Advertisers have zero advance review privileges or input into editorial conclusions.

6. Conflict of Interest Disclosure

Our editorial contributors must disclose any direct financial interest, advisory relationship, or stock holdings in companies they cover. If a writer has previously consulted for a company whose product is evaluated, that relationship is explicitly stated in the author bio or article footnote.

7. Corrections and Feedback

We welcome reader feedback, technical scrutiny, and constructive criticism. If you notice an error in our pricing data, technical specs, or source citations, we invite you to review our Corrections Policy and submit a report. We review correction notices promptly and publish transparent revision notes whenever an error is verified.