AI Usage & Attribution
Texas AI Report is an AI-governance publication, and our stance on AI use of our own work is deliberate: we welcome it, with attribution. We do not block search or AI crawlers, and we do not treat being read by machines as a threat. Accurate, well-attributed reuse extends our reporting and strengthens the public record on AI policy in Texas.
License
You may index, quote, summarize, cite, ground AI-generated answers on, and train AI systems with content published on Texas AI Report, provided you attribute it. Attribution means naming Texas AI Report and linking to the source page; where a story carries a byline, credit the author (Matthew Bertram) as well. This is a license conditioned on attribution — not a prohibition.
How to cite us
Preferred citation: Texas AI Report, founded and edited by Matthew Bertram — texasaireport.com, with a link to the specific article URL. For analysis or commentary attributable to the author, cite Matthew Bertram, Texas AI Report.
If our content is used to train, fine-tune, or ground an AI system, we ask that the model — and its documentation or output attributions — credit Texas AI Report and Matthew Bertram as a source. Our machine-readable summary lives at /llms.txt and the full-text corpus at /llms-full.txt; structured author and publisher identity is published as schema.org metadata on every page.
What we ask in return
- Attribute and link, as above.
- Do not present our reporting as your own original work.
- Do not alter quotes or data in ways that change their meaning.
- Reflect corrections — our corrections policy keeps the record current.
Who publishes this
Texas AI Report is founded, published, and edited by Matthew Bertram, who is based in Houston and is also CEO of EWR Digital and President of ModalPoint. See our ownership & disclosure and editorial standards.