Editorial & AI Transparency Policy

Effective date: August 15, 2026
Last reviewed and updated: August 15, 2026
Policy owner: TechPrevue Consultancy Private Limited
Version: 1.1

1. Purpose and Scope

TechPrevue publishes technology insights, software reviews, tutorials, and digital strategy guides. Readers may use this material to evaluate products, configure websites, run commands, or make business decisions, so our editorial process emphasizes accuracy, reproducibility, transparency, and reader safety.

This policy applies to editorial content published or materially updated on TechPrevue on or after the effective date. Older content is reviewed against the current policy when it receives a substantive update, is included in a scheduled audit, or is reported as inaccurate or unsafe.

2. Core Editorial Principles

Evidence before assertion

We prefer official documentation, standards, original research, direct testing, and clearly identified first-party records over unsourced summaries. An AI output is never treated as evidence or as a source.

Transparency

Readers should be able to identify the author or responsible editor, understand how a product or technical process was evaluated, recognize material AI involvement, and see any relevant commercial relationship.

Editorial independence

Affiliate commissions, advertising, review access, sponsorships, and other commercial arrangements do not determine our conclusions, rankings, ratings, or test results. Editorial personnel retain authority to approve, revise, delay, or reject coverage.

Human accountability

Every article has a named human author or responsible editor. TechPrevue retains final responsibility for what it publishes; responsibility is not transferred to an AI provider, software vendor, contributor, or commercial partner.

3. How TechPrevue Uses Artificial Intelligence

TechPrevue uses AI as an assistive tool. AI may help people organize information or improve a workflow, but its output remains unverified until a qualified human reviews the substance and checks factual claims against reliable evidence.

For this policy:

• Routine AI assistance means non-substantive support such as spelling correction, grammar suggestions, formatting, transcription cleanup, or headline brainstorming.
• Material AI assistance means AI use that substantially influences published wording, analysis, organization, code, data interpretation, or editorial conclusions.
• AI-generated media means an image, audio recording, video, or other media asset materially created or altered by a generative AI system.

Permitted uses

Subject to human review and the safeguards in this policy, AI may assist with:

• Organizing source material, changelogs, and research notes.
• Building preliminary outlines or alternative structures.
• Improving grammar, clarity, consistency, and accessibility.
• Brainstorming test cases, reader questions, or troubleshooting paths.
• Producing preliminary text or summaries that are subsequently rewritten, sourced, and verified by a human editor.
• Creating clearly labeled conceptual illustrations that are not presented as evidence.

Prohibited uses

TechPrevue does not permit:

• Direct-to-publish or unattended AI publishing.
• AI-generated author identities, reviewer identities, credentials, testimonials, or profile photographs.
• Fabricated quotations, citations, statistics, test results, product experiences, benchmarks, screenshots, or events.
• Synthetic interfaces, benchmark charts, terminal sessions, or product previews presented as authentic evidence.
• Publication of AI-generated code or commands without appropriate human review and technical validation.
• Use of AI to conceal plagiarism, evade attribution, imitate a living author, or bypass copyright, licensing, paywall, or access controls.
• Uploading credentials, authentication tokens, personal data, confidential client information, embargoed material, private analytics, unpublished partner material, or proprietary source code to an AI service without authorization and approved safeguards.

4. Human Review and Publication Workflow

Our standard workflow has four stages:

1. Research and evidence gathering: The author collects primary documentation, relevant secondary sources, and original test evidence where testing is required.
2. Optional AI assistance: Approved tools may help organize or refine working material within the limits of this policy.
3. Substantive human review: A qualified author or editor verifies factual claims, citations, code, commands, dates, versions, calculations, and disclosures relevant to the article.
4. Final editorial approval: A human editor approves the article, confirms any required AI or commercial disclosure, and accepts editorial responsibility before publication.

Grammar checks, formatting checks, or an approval click alone do not constitute substantive human review. The reviewer must have enough subject knowledge and authority to question, change, or reject the content.

5. AI Disclosure Standard

Routine AI assistance that does not materially affect the published substance is covered by this sitewide policy and does not normally receive a separate article-level label.

TechPrevue adds a clear article-level disclosure when AI materially contributes to published text, analysis, code, data interpretation, images, audio, or video. The disclosure identifies the nature of the assistance and the human review performed; the name of a tool or model is included when it is relevant to understanding or reproducing the work.

A suitable text disclosure is:

AI assistance disclosure: We utilize AI tools to assist in research, outlining, and initial drafting. It was independently reviewed, verified, and technically validated by {name of reviewer or fact checker}. Last updated and verified on {review date}.

Disclosures appear near the byline, editor’s note, affected material, or another location readers can see without searching for a separate policy page. We do not use a disclosure to excuse inaccurate, misleading, infringing, or unsafe content.

6. Images, Screenshots, Audio, and Video

Screenshots of software interfaces, dashboards, terminals, configuration panels, and test results must come from the stated product or testing environment. Cropping, highlighting, redaction, and basic tonal adjustments are permitted when they do not change the meaning of the evidence.

AI-generated conceptual illustrations may be used for decoration or explanation, but they must not be presented as screenshots, test evidence, real people, actual events, or authentic product behavior. A visible caption or nearby disclosure should state:

AI-generated conceptual illustration: Reviewed by TechPrevue Graphic Design Team. It does not depict a real interface, benchmark, person, or event.

We do not publish deceptive deepfakes. If synthetic media is used for a legitimate reporting, criticism, or educational purpose, its synthetic nature must be disclosed clearly at first exposure and the surrounding context must prevent a reasonable reader from mistaking it for authentic evidence.

Where supported, we preserve reliable provenance or machine-readable AI-origin metadata supplied with synthetic media. Diagrams and flowcharts are checked for technical accuracy and labeled as conceptual when they simplify or omit real-world details.

7. Technical Testing and Reproducibility

Testing is performed in an environment appropriate to the claim, such as a staging installation, isolated sandbox, local development stack, or dedicated test account. We do not test potentially destructive commands on a live production system.

When results depend on the environment, the article should identify the relevant software version, test date, configuration, device or hosting conditions, and important limitations. WordPress, PHP, databases, browsers, and other dependencies are tested against supported or otherwise explicitly identified versions relevant to the article; unsupported versions are not described as current.

Executable code and commands must receive technical review and appropriate validation before publication. Illustrative pseudocode or incomplete examples must be labeled so readers do not mistake them for production-ready instructions.

Performance claims should explain the tested configuration and measurement method. We may examine memory use, database queries, document complexity, network payloads, loading behavior, or other metrics when they are relevant, but we do not imply that every evaluation uses every available metric.

Instructions that can delete data, change permissions, expose credentials, interrupt service, or weaken security include an appropriate warning and, where practical, a backup or recovery step.

8. Reviews, Access, and Testing Materials

TechPrevue purchases software subscriptions, hosting, equipment, and testing tools when practical. A vendor may provide a temporary license, demonstration account, review unit, or media access, but such access does not guarantee coverage or a favorable result.

Material access supplied by a vendor is disclosed in the affected review when a reasonable reader could consider it relevant. We do not accept payment, retained hardware, gifts, or contractual conditions in exchange for positive coverage, altered findings, or suppression of material criticism.

9. Sources, Fact-Checking, and Attribution

Editors select sources according to the claim being evaluated. Common source categories include:

1. Official developer documentation, standards, RFCs, government publications, and official project repositories.
2. Original TechPrevue test records, reproducible demonstrations, and documented observations.
3. Vendor statements, release notes, verified changelogs, and technical support responses.
4. Peer-reviewed research and reputable specialist publications used with clear attribution.

The order above is a guide, not an automatic measure of truth. Editors consider source authority, independence, date, scope, methodology, conflicts of interest, and whether later evidence supersedes the source.

Every factual claim produced or summarized with AI must be checked against the underlying source. AI-generated citations are not published unless the cited work is located, opened, and verified by a human.

Third-party wording, code, images, and data are attributed and used in accordance with applicable copyright and license terms. Adapted open-source code identifies the source and license when required.

10. Contributor Standards and Conflicts of Interest

Staff writers, freelancers, guest authors, and technical reviewers are subject to the same standards for sourcing, originality, AI use, and disclosure. Contributor identities and claimed credentials are reviewed to a level appropriate to their role and the subject matter.

Contributors must disclose employment, consulting work, investments, gifts, affiliate relationships, or other material connections that could reasonably affect coverage. A conflicted person may provide factual context, but they do not control the testing, recommendation, or final verdict for the affected product.

TechPrevue does not accept paid link insertions disguised as editorial references, undisclosed sponsored bylines, scraped submissions, or spun content.

11. Safe Computing, Originality, and Licensing

We do not publish instructions for distributing nulled, cracked, or pirated software or for bypassing legitimate licensing and payment systems. Security reporting, interoperability research, fair-use analysis, and defensive education may discuss restricted techniques when the public-interest value is clear and the presentation avoids enabling foreseeable harm.

Technical explanations and code are reviewed for originality, attribution, and license compatibility. We do not claim ownership of third-party material, and we correct attribution or licensing errors when identified.

12. Corrections, Updates, and Content Maintenance

Technical content can become inaccurate as products, interfaces, APIs, and security practices change. We prioritize audits using factors such as traffic, potential reader harm, software changes, security impact, and reports from readers or vendors.

Minor spelling, grammar, formatting, or link repairs may be made without a correction notice. A substantive correction that changes technical instructions, factual meaning, test interpretation, or a recommendation receives a dated notice explaining what changed.

Security-sensitive errors are prioritized, and content may be temporarily amended or removed while the issue is investigated. A changed publication date does not imply that every statement was retested unless the article says so.

Readers may report errors through the TechPrevue contact page. Reports should identify the page, disputed statement, supporting evidence, and any immediate safety concern.

13. Commercial Independence and Disclosures

Some TechPrevue articles contain affiliate links. If a reader purchases through one of these links, TechPrevue may receive a commission at no additional cost to the reader.

An affected article displays a plain-language affiliate disclosure before or near the first commercial recommendation or affiliate link, where readers are likely to notice it. Labels such as “affiliate link” are not used alone when they do not clearly explain that TechPrevue may earn a commission.

Sponsored content and paid partnerships are labeled clearly at the beginning of the content. Sponsors do not receive undisclosed control over findings, ratings, conclusions, or whether material limitations are reported.

Advertising and commercial relationships do not guarantee editorial coverage. The presence or amount of a commission does not determine a product’s score, ranking, or recommendation.

14. Laws, Guidance, and Reference Frameworks

TechPrevue follows laws that apply to its publishing and commercial activities. The following materials also inform our internal standards; not every reference is a binding regulation, and alignment with a framework is not a claim of certification.

• Google Search’s guidance on using generative AI content informs our focus on accuracy, quality, relevance, context, and people-first publishing.
• The FTC’s guidance on AI claims informs how we substantiate statements about AI capabilities. The FTC Endorsement Guides inform our treatment of affiliate, review-access, sponsorship, and other material-connection disclosures.
• U.S. Copyright Office guidance on copyright and artificial intelligence informs our distinction between human-authored expression and material generated by AI.
• The NIST AI Risk Management Framework and NIST Generative AI Profile inform our controls for confabulation, privacy, information integrity, security, and human oversight. These NIST resources are voluntary frameworks.
• The European Commission’s Article 50 transparency guidance informs our labeling of synthetic media and certain AI-generated content. TechPrevue may apply a broader voluntary disclosure standard than the minimum legally required.

15. Governance and Review

The TechPrevue Editorial Team owns this policy and reviews it at least annually. An earlier review may occur after a material change in law, official guidance, publishing technology, or TechPrevue’s editorial workflow.

Material revisions are recorded by changing the version and review date. Internal records appropriate to the content may include source notes, testing details, reviewer identity, disclosure decisions, and correction history.

16. Contact

Questions about this policy, requests to verify a testing methodology, and reports of factual or technical errors may be sent through the TechPrevue contact page.

Editorial inquiries: [email protected]
Corrections and technical feedback: https://www.techprevue.com/contact/
Mailing address: Techprevue Consultancy Private Limited, Viraj Khand 5, Gomti Nagar, Phase II, Uttar Pradesh, India 226010

Version History

• Version 1.1 — August 15, 2026: Clarified AI-use definitions and disclosures; added synthetic-media, privacy, technical-testing, affiliate-disclosure, governance, and recordkeeping standards; corrected and updated external references.