CrosstownOS / Editorial standards
Know what is true before you buy. We hold our own work to it.
CrosstownOS teaches buyers to separate claims from evidence. This page states the standard our own publishing is held to: how we handle evidence, community learning, AI-assisted work, and corrections.
How we label claims
We distinguish sourced facts, attributed statements, calculations, assumptions, and unresolved questions. Where material to reader understanding, we identify the basis and limitations of a claim.
Verified
Evidence was reviewed and the required source standard was met.
Broker-reported
A claim attributed to broker or seller material that has not been independently verified.
Missing evidence
Required evidence is absent, unavailable, or still requested.
Underwriting assumption
A buyer-selected planning input while the underlying fact remains unsettled.
Calculated
A deterministic output derived from stated inputs and formula.
Unresolved
An open issue that remains material to the decision.
How we handle community learning
Our themes come from real conversations with operators, buyers, and industry professionals. When a lesson is shaped by those conversations, we remove identifying details, change nonessential facts, and never quote or name anyone without explicit permission.
Detailed examples are labeled as synthetic or illustrative composites. General principles need no label because they describe no one in particular.
What we never publish
We do not quote, screenshot, or name anyone from private conversations, group discussions, or direct messages without explicit permission. We do not recreate recognizable stories from one person's comment or private discussion. We do not present an anecdote as independently verified if it originated as an unverified statement.
How we use AI-assisted tools
CrosstownOS uses technology, including AI-assisted research and drafting tools, to organize information and accelerate production. Every published resource, Field Note, product rule, website claim, and customer-facing statement receives human review before publication or release.
We do not place a loud AI-generated disclaimer on ordinary posts merely because AI assisted with drafting or research. Research-heavy Field Notes carry a brief note stating that AI-assisted research and drafting may have been used and that sources, claims, and final editorial judgment remain subject to human review.
AI output is not evidence. Accountability for source selection, claim accuracy, uncertainty labels, and the final publication remains with CrosstownOS.
Professional boundaries
CrosstownOS organizes the record. The buyer owns the decision.
Our resources and software organize information and support a disciplined workflow. They do not provide legal, engineering, environmental, tax, title, appraisal, lending, or insurance advice, inspection certification, regulatory determination, or investment advice. The buyer is solely responsible for all investment decisions. CrosstownOS does not provide legal, financial, engineering, environmental, tax, title, appraisal, lending, or insurance advice, and nothing in the workspace constitutes a professional opinion, certification, or recommendation. The buyer is responsible for engaging qualified licensed professionals to review the legal, financial, physical, regulatory, and environmental dimensions of any acquisition before committing capital. Reliance on workspace outputs without appropriate professional review is at the buyer's sole risk.
How we talk about the product
We distinguish capabilities available to customers now from capabilities demonstrated internally, limited to a pilot, or planned. Where access has not opened, we state the intended availability date. A working internal capability is not represented as currently accessible to customers.
Corrections
When a material error is discovered, we stop repeating the claim, correct the original asset where feasible, and add a dated correction note where the error materially affected reader understanding. We never hide a material correction because the original content performed well.
The publishing gate
Before anything goes live, we ask one question: can the founder defend this without saying “the AI told me”? If yes, it publishes. If no, it needs more source work, clearer labeling, or a narrower claim.
