The FEAST Framework: a step-by-step system for using AI to discover restaurants, navigate menus, accommodate dietary needs, and optimize every dining experience.
The FEAST Framework unlocks AI's full potential across every dining situation:
Each module below includes the context AI needs, the prompts that work, and the common traps that lead to mediocre recommendations.
The difference between "suggest a restaurant" and a recommendation you genuinely love is specificity. AI can process thousands of reviews and match them to your preferences — but only if you give it enough to work with.
| Input | Why It Matters | Example |
|---|---|---|
| Location | Narrows the search space | "Within 15 minutes of downtown Austin" |
| Party composition | Changes restaurant type entirely | "2 adults + toddler" vs "6 colleagues" |
| Occasion | Sets the experience bar | "Casual Tuesday dinner" vs "proposing to my girlfriend" |
| Budget | Eliminates mismatches immediately | "$30/person including drinks" |
| Dietary needs | Non-negotiable filter | "1 celiac, 1 vegetarian, no shellfish" |
| Cuisine openness | Broadens or narrows options | "Open to anything except sushi" |
| Vibe/atmosphere | The intangible that makes or breaks it | "Lively but not so loud we can't talk" |
| Logistics | Practical dealbreakers | "Need parking for 2 cars" or "walkable from hotel" |
Find a restaurant for [occasion] in [location].
Party: [details]. Budget: $[X]/person [including/excluding drinks].
Dietary: [restrictions].
Vibe: [atmosphere preference].
Cuisine: [preference or "open to suggestions"].
Logistics: [parking/transit/walking distance from X].
[Any other constraints: outdoor seating, kid-friendly, private dining room, etc.]
Suggest 3 restaurants ranked by fit. For each include:
- Name, cuisine, price range
- Why it fits this specific group/occasion
- What to order (2-3 standout dishes)
- Reservation strategy (how far in advance, best time)
- One potential drawback to be aware ofDescribe the feeling, not just the cuisine. "I want to feel like I'm eating in someone's grandmother's kitchen in Tuscany" produces better results than "Italian restaurant." AI can translate emotional descriptions into concrete restaurant attributes.
Ask for the anti-recommendation. "What should I NOT order at this restaurant?" or "What type of diner would NOT enjoy this place?" reveals honest limitations that pure recommendations gloss over.
Use comparative framing. "The last restaurant I loved was [name] because of [reasons]. Find me something with that same energy but different cuisine." This gives AI a taste profile to work with rather than abstract preferences.
Request the contrarian pick. "Also suggest one restaurant I'd probably never find on Yelp — a local favorite that doesn't market well online but has incredible food." AI can synthesize the difference between rating-volume-optimized restaurants and genuine hidden gems.
Yelp has 265 million reviews. Google Maps has billions. Most of them are useless — either 5-star "Amazing!!!" or 1-star complaints about parking. AI can extract the signal from the noise.
Analyze reviews for [restaurant name] in [city].
I care most about: [food quality / service / ambiance / value / dietary options].
Summarize: (1) What do reviewers consistently praise?
(2) What are the recurring complaints?
(3) Are there patterns by visiting context (date night vs family vs business)?
(4) Has quality changed recently (last 6 months vs overall)?
(5) What's the best and worst thing about this restaurant, honestly?Before committing to a restaurant, understand what you'll actually spend:
Based on [restaurant name]'s menu in [city], estimate the
realistic total cost for [party size and composition].
Assume: [appetizers yes/no], [dessert yes/no], [alcohol: wine/cocktails/none],
[tipping at X%].
Break down: food cost, drink cost, tax, tip.
Flag any items that are poor value (overpriced for what you get)
and any items that are exceptional value.For trendy or viral restaurants:
[Restaurant name] in [city] has been trending on [TikTok/Instagram/local press].
Give me an honest assessment: is it genuinely great food, or mostly atmosphere and social media appeal? What type of diner would love it vs be disappointed? Is there a comparable restaurant with better food that doesn't have a 2-hour wait?This is where AI provides the most measurable value. Managing dietary restrictions across a group at an unfamiliar restaurant is stressful, time-consuming, and high-stakes (especially for allergies). AI handles it brilliantly.
I'm eating at [restaurant] in [city].
My dietary restrictions: [celiac/peanut allergy/vegan/halal/etc].
[Paste the menu or provide the restaurant name for AI to look up]
For each menu section, identify:
- Dishes that are SAFE for me as-listed
- Dishes that could be made safe with a simple modification (and what to ask for)
- Dishes that look safe but have HIDDEN allergens (e.g., soy sauce in "gluten-free" stir fry, butter in "dairy-free" vegetables, flour-dusted frying oil)
- Dishes to absolutely avoid
Recommend my top 3 safest, most delicious options.
Provide exact phrases I should use when ordering to communicate my needs to the server.The real nightmare scenario: 8 people, 4 different dietary needs, 1 restaurant decision.
I'm organizing dinner for [X] people.
Dietary requirements:
- Person A: [restriction]
- Person B: [restriction]
- Person C: [restriction]
- [etc.]
Other constraints: [budget, location, occasion].
Find a restaurant where EVERYONE can eat well (not just one person
who "can find something"). Rank options by how well they serve the
most restrictive diner — because that person's experience determines
whether the dinner is a success.Eating abroad with dietary restrictions requires cultural context:
I'm traveling to [country/city] for [X] days.
My dietary restriction: [details].
Prepare a dining briefing: (1) How well does this cuisine accommodate
my restriction? (2) Common hidden ingredients to watch for in local dishes.
(3) Key phrases I should learn in [language] to communicate my restriction.
(4) 5 local dishes that are naturally safe for me.
(5) 5 popular dishes that LOOK safe but contain [my allergen].
(6) Restaurant recommendations that reliably accommodate my restriction.Once you've found the restaurant and checked the menu, AI can help you order like a local rather than like a tourist guessing.
I'm eating at [restaurant name/type] for the first time.
My taste preferences: [what you generally love and hate].
Party size: [X]. Budget: $[X] per person.
We want to: [try a lot of things/share family-style/each get our own dish].
Suggest: an appetizer strategy, mains for each person (based on
preferences), whether to do a tasting menu vs a la carte,
and one dish that's the "if you eat one thing here, make it this" signature.Help me navigate the wine list at [restaurant type/specific restaurant].
We're ordering: [list of dishes].
Wine preferences: [what you like — e.g., I like bold reds, partner likes crisp whites].
Budget: $[X] for wine total.
Options: (1) A single bottle that works with both dishes.
(2) Two glasses, one matched to each dish.
(3) Ask the sommelier — but give me a framework for what to ask for
so I don't just say "something red?"
For each option: grape variety, flavor profile, and why it pairs.For price-sensitive dining without sacrificing quality:
I want to eat really well at [restaurant] but stay under $[X] per person.
Analyze the menu and recommend the best value ordering strategy:
- Which dishes offer the most food quality-to-price ratio?
- Are there lunch/happy hour/off-peak specials I should target?
- Is the prix fixe/tasting menu a better deal than ordering a la carte?
- What are the hidden upcharges to watch for (market price, premium add-ons)?When you eat matters almost as much as where. AI can optimize timing for better experiences, shorter waits, and even lower prices.
I want to eat at [restaurant name] in [city] on [date].
Party size: [X]. This is: [regular dinner / special occasion / time-sensitive].
Research: (1) How hard is this restaurant to book?
(2) What's the best day and time slot for my party size?
(3) Should I book on OpenTable, Resy, or call directly?
(4) What's the optimal advance booking window (too early = can't compare, too late = sold out)?
(5) If it's fully booked, what are the best walk-in strategies (bar seating, off-peak, cancellation timing)?I'm in [city] for [X] days. I want to eat at popular restaurants
without the worst crowds or longest waits.
Research timing patterns for dining in this city:
- Best off-peak dining windows (e.g., early-bird or late seating)
- Which day of the week is typically least busy at popular restaurants?
- Any local dining customs I should know about (late dining culture, brunch vs lunch norms)?
- Lunch vs dinner: which offers better value for the same quality?I'm planning a [birthday/anniversary/work event] dinner for [X] people on [date].
Location: [city/neighborhood]. Budget: $[X] total including food, drinks, tax, tip.
Requirements: [private/semi-private space, AV equipment, cake cutting, specific cuisine].
Dietary: [group restrictions].
Find: 3 restaurant options with private dining, estimated per-person cost,
booking requirements (how far in advance, deposit?),
and what's typically included vs extra.Ready to put the FEAST Framework into practice? Head to our copy-paste prompt library for 25+ ready-to-use dining prompts, or see how different AI platforms handle restaurant recommendations in our head-to-head showdowns.