Who writes Regulr articles
Every article in the Regulr retention library is written and edited by Brian Boesen, the founder of Regulr and City Curated. Every article is written from a practitioner's vantage point — informed by what we see every day inside Regulr venues, by direct conversations with the operators we work with, and by primary industry research — never from a generic SEO content brief.
We do not have a team of anonymous writers, a content farm, or ghostwritten attribution. If a Regulr article carries a byline, the person in that byline did the work.
How we source claims
Every statistical claim in a Regulr article must come from one of the following:
- A primary industry source — National Restaurant Association, IHRSA, ISPA, AmSpa, NCA, IBISWorld, the National Coffee Association, ClubIntel, and similar.
- A peer-reviewed or institutional research report — Bain & Company customer retention research, Gartner SMS marketing reports, McKinsey hospitality benchmarks, Harvard Business Review case studies.
- A vendor research report from a primary platform — Mindbody Wellness Index, Bloom Intelligence, Toast Restaurant Trends, Square Q1/Q2 reports, Sinch RCS reports.
- First-hand data from Regulr or City Curated campaigns, where we explicitly disclose that it is our own data.
Where we cite a source, we link to the source directly so readers can verify the claim themselves. Statistical ranges are presented as ranges, not as point estimates dressed up to sound exact.
How we use AI
Regulr is an AI-powered product, and we use AI in our editorial process. We are explicit about how:
- Drafting: Long-form articles often start as an outline assisted by Claude or another LLM. Every draft is then rewritten, restructured, fact-checked, and personalized by Brian before publication. There is no “publish a generated draft” pipeline.
- Research: We use AI to surface relevant research and primary sources, then verify each source by reading it directly. We do not cite a study we have not read.
- Editing: AI is used as a copy-editing layer for clarity and grammar, never as the final voice. Every sentence in a published article passes a human review.
- What AI never does: Generate fabricated quotes, invent statistics, attribute claims to sources we have not verified, or write a final article without human review. See the next section.
Our zero-tolerance no-fake-data rule
This is the editorial rule we care most about. We do not fabricate, invent, or composite:
- Customer testimonials. If you read a quote attributed to a person, that person is real and the quote is real.
- Case studies. If we describe a result from a specific business, that business exists and the result is verified. Composite case studies (“a typical med spa we worked with”) are not used.
- Statistics. Every percentage, dollar figure, and benchmark must trace to a source on record. We do not round, exaggerate, or extrapolate beyond what the source actually says.
- Author credentials. The byline on every article is a real person who actually did the work.
A previous draft of this site once used a fictional persona for author bylines. We retired that persona and replaced every byline with the founder's real name and bio because the fictional version was not honest, even though it was internally framed as a writer pen name. Honesty about authorship is a baseline requirement for any of the rest of this to matter.
Reviews and updates
Articles are reviewed for accuracy on a rolling basis. When a source we cite publishes new data, we update the article and update the “last updated” date in the article header and the structured data.
If you find an error in a Regulr article, email brian@regulr.ai. We respond to corrections requests within 48 hours and update the article in place with a visible corrections note when the original claim was material.
Conflicts of interest
Regulr articles sometimes recommend competing products and platforms — for example, our roundup posts of restaurant loyalty software or med spa marketing software. When we recommend a competitor, we are not paid to do so. We explicitly recommend competitors when their product is the right fit for a reader's situation, even when that situation is one Regulr would also serve.
We do not run affiliate links to vendors. We do not run sponsored content. We do not accept payment in exchange for inclusion in our roundups. The only commercial relationship Regulr has with any of the vendors mentioned in our content is that we and they serve the same customers.
Privacy and data
We do not train machine learning models on customer data. We do not sell customer data. We do not use customer data to write articles unless we have explicit, written permission from the business owner and the data is anonymized first. See our privacy policy for the full data handling policy.
Get in touch
Questions about how we research a specific topic, requests for corrections, or feedback on a specific article — email brian@regulr.ai. Brian reads every email.
This editorial standards document is a living one. It was last reviewed in April 2026. Material changes will be flagged with a revision note.