Editorial Standards
AI-generated content. Everything on this page was written by an automated AI editorial system and published without prior human review. How this works ›
This page documents the specific editorial commitments Pick Right operates under. These are not aspirations — they're the rules every published review on this site is held to. If a review violates one of these standards, that's an error worth flagging via email.
1. Sourcing standard
Every specific factual claim in a review — pricing, benchmark scores, market-share figures, launch dates, named surveys, valuation numbers — has a primary source. Primary sources are:
- Vendor announcement blogs and pricing pages (pulled the day of writing)
- Official documentation and changelogs
- Peer-reviewed benchmarks and credible lab results
- Named publications with editorial accountability (The Verge, TechCrunch, Ars Technica, CNBC, Reuters, AP, named research firms)
- Public regulatory filings, court documents, S-1s, earnings transcripts where applicable
Claims that cannot be sourced to a primary document are paraphrased as general statements or removed from the review. Pick Right runs a fact-flagging script (scripts/flag-claims.py) over content before publication that surfaces specific-number patterns for primary-source verification.
2. Pricing verification standard
Every dollar amount and tier name in a review reflects the vendor's pricing page on the day the article was published or last updated. The "Last updated" timestamp on every review reflects the most recent verification pass. When pricing changes between publication and now, the review is updated and the timestamp moves.
For currency, region, or plan structure variations across markets, the review names the specific market it documents (typically US pricing) and notes where international pricing differs materially.
3. Recommendation standard
Every recommendation in a review answers a specific question: "for this user with this goal, is this tool the right pick?" Recommendations are not absolute rankings; they are conditional on use case. Where a tool is the right pick for one user but the wrong pick for another, both are stated explicitly.
Pick Right does not publish "Top 10 AI tools" lists ranked by any single number. The site rates on three axes (Ease of Use, Output Quality, Value for Money) and publishes category-specific guides ("best AI coding tools," "best AI tools for students") with explicit reasoning per pick.
4. Conflict-of-interest standard
Pick Right publishes affiliate links for some of the tools it covers. Affiliate relationships are disclosed at the top of every review (FTC-compliant disclosure). Affiliate revenue does not influence ratings or rankings. The site frequently recommends free tiers over paid tiers, and frequently recommends competitors over tools with active affiliate programs.
Pick Right does not accept paid placements, sponsored reviews, or vendor-financed content. No tool has appeared on a "best for" list or received a higher rating because of a commercial relationship. If this changes (it won't, but if it did), it would be disclosed prominently before any sponsored coverage runs.
5. AI generation disclosure
Every article on this site is written by an automated AI editorial system and published without prior human review. This is disclosed on every article page, as Article 50(4) of the EU AI Act requires of anyone publishing AI-generated text to inform the public. The regulation exempts content that passes through human editorial review before publication; that exemption does not apply here and is not claimed. Full detail: AI disclosure.
The accountability standard does not move because a machine is writing: every claim sourced, every recommendation reasoned, every error corrected. What does move is the burden of proof on the reader — which is precisely why the disclosure sits at the top of the page rather than in the footer.
No experiential claims. No article may state or imply that anyone tested, used, or lived with a product. "We tested", "in my testing", "the fastest tool I've used" — all false here, and all blocked by an automated check that fails the build before deploy. Reviews are syntheses of documentation, pricing, benchmarks, and reported experience, and they say so.
6. Correction standard
When a review contains a factual error, the error is corrected and the correction is logged on the corrections page. Substantive corrections (factual errors that change a recommendation, pricing errors that mislead readers, attribution errors) are noted explicitly. Minor corrections (typos, link rot, formatting) are made silently.
The "Last updated" timestamp on every review reflects when the article was last reviewed, regardless of whether changes were made. Readers can use the timestamp to assess freshness without needing to read every line.
7. Update cadence standard
AI tools change fast. Pick Right reviews are updated when:
- The vendor ships a new model, pricing structure, or material feature change
- A competitor's release changes the comparison context (e.g., a new entrant changes the recommendation tree)
- Pricing-page verification finds a discrepancy with the published review
- Reader feedback flags a factual error or stale claim
News articles published on this site provide the primary mechanism for staying current — major launches get covered as news, and the affected tool reviews get cross-linked TL;DR updates within hours of the news article going live.
8. Attribution standard
Articles carry the byline Pick Right AI Desk — the automated system that writes them. The byline names a machine because a machine did the work.
Until August 2026 this section described a pen name, "Andre Logos", and defended it as privacy-motivated pseudonymous publishing. That was inaccurate: no writer existed behind the name. The persona is retired site-wide and a build-time check prevents its return. The record is kept on the masthead rather than deleted.
- No human byline on machine-written text. Structured data declares an
Organizationand aSoftwareApplication, never aPerson. Every page carries the IPTCtrainedAlgorithmicMediamarking so automated consumers can identify it too. - Editorial responsibility is human and named as such. One operator, established in the EU, legally and editorially responsible for everything published. Contact is direct: info@pick-right.com.
- Accountability through the publication. Errors corrected publicly, methodology documented, sources linked. These mechanisms carry more weight when the author is a machine, not less.
9. Reader feedback standard
Email to info@pick-right.com reaches the editorial team directly. Every email is read. Factual corrections are processed quickly (usually within 24-48 hours). Substantive disagreements are welcomed and often produce review updates. PR pitches and sponsorship inquiries are not.
No support-ticket queue, no contact form gatekeeping, no autoresponder. Direct email to a human editor.
10. What Pick Right will not do
- Publish thin templated reviews that exist mostly to host ads
- Accept paid placements or sponsorship-influenced rankings
- Fabricate hands-on testing claims the editorial cannot back up
- Use AI to publish unsupervised content
- Hide affiliate relationships
- Recommend tools the editorial would not recommend to a friend with the same use case
- Run "Top 10" lists generated for SEO without substantive analysis
- Publish reviews of tools Pick Right has not researched substantively
This page is reviewed quarterly and updated when standards change. Last reviewed: May 4, 2026. Questions or feedback on these standards? Email the editor.