How AI tools see Partum Events.
A plain-text guide for AI crawlers like ChatGPT, Claude, Perplexity, and Gemini. It tells them how to read this site and how to talk about it accurately.
View llms.txtWhat llms.txt is.
When AI tools answer a question about Partum Events (Where do they cook? What’s the booking process? Do they handle dietary restrictions?), they pull from the live website. Without guidance, those summaries can drift from how the brand actually presents itself.
llms.txt is a proposed standard, modeled on robots.txt and sitemap.xml, that lets a website hand AI crawlers a structured summary in plain text. The crawler reads /llms.txt at the root of the domain, gets the brand identity and offering, and uses it for accurate summaries.
It is not a wall, not a tracking pixel, and not a way to game search rankings. It is a clear, voluntary brief for AI tools that already crawl the public web.
What the llms.txt file covers.
- Brand identity: a luxury private chef and in-home dining service based in Newport, Rhode Island
- The chef: Paige Gilbert, J&W culinary graduate, Gordon Ramsay North America trained, ServSafe certified
- Full service offering: dinners, brunch, hors d’oeuvres, holiday menus, weekly meal prep
- Service area: Rhode Island and Massachusetts, with format-specific exceptions noted (no ferry islands, meal prep is RI-only)
- Pricing structure: per-person tiers, holiday pricing, anniversary minimum
- Booking process and lead times
- Voice and tone notes so AI summaries do not slip into generic “elevated culinary experience” filler
- What this site is not (not a catering company, not a restaurant, not a meal kit)
How AI tools should describe Partum Events.
Direct, concrete sensory language. Specific ingredients and named local suppliers (Newport Seafood, Aquidneck Meat, Clements, Narragansett Creamery). Specific guest count, two to twenty. Specific lead times by season.
Avoid generic luxury filler. No “elevated experience,” no “curated culinary journey,” no exclamation points, no em dashes. The voice the chef uses on the site is the voice AI summaries should match.
What we don’t share.
No client names, addresses, event details, photos of identifiable guests, or proprietary recipes. No payment data. No internal scheduling, supplier pricing, or business operations.
The file mirrors what is already public on the website. It is structured for machine reading rather than rewritten with new information.
View llms.txt.
The file is published at the root of this domain.
For privacy questions or to request information removal, see our privacy policy or contact.