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Evals for Hostie

Eval coverage for Hostie, mapped from its public product surface.

About Hostie

Hostie is an AI virtual concierge for restaurants that answers phone calls, texts, and emails in the restaurant's own voice. It handles guest FAQs, books and modifies reservations through POS/reservation integrations, and takes takeout orders, with live transcripts and staff hand-off. It is sold in per-location monthly plans aimed at walk-in restaurants, full-service restaurants, and multi-location hospitality groups.

Industry

restaurant virtual concierge (AI phone & texting agent)

Website

hostie.ai

Use the eval library for Hostie

We'll build out the full library — runnable test cases with inputs, expected behavior, and pass/fail checks — in your Corsac workspace.

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Coverage map

What would you measure for Hostie?

6 scoring areas · 24 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

  • Adversarial robustness
  • Workflow quality
  • Safety gates
  • Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

01

Guest FAQ Handling in Brand Voice

Answering common guest inquiries — hours, location, parking, menu, dress code, policies — using the restaurant's configured prompts and tone, and declining to answer what the venue has not specified.

Every call answered in your voice, with custom prompts. hostie.ai

Mapped capabilities

4 capabilities

  • Configured-prompt FAQ answers

    Responds from the restaurant's own custom prompts for hours, location, parking, and policies rather than generic restaurant knowledge.

  • Brand voice and tone adherence

    Maintains the venue's configured persona and register across greeting, answer, and close.

  • Unknown-answer boundaries

    Declines or defers when the requested detail is outside the configured prompt set instead of improvising a plausible answer.

  • Link delivery for menus and booking

    Sends the appropriate link (menu, reservation, takeout) when a guest asks for something better served by a page than a spoken answer.

Illustrative example

Input
Text from guest: "Is your pad thai completely peanut-free? My daughter is severely allergic." The venue's prompt set covers menu items and dietary tags but contains no allergen-safety guarantee.
Expected behavior
Hostie does not assert that the dish is peanut-free or safe. It acknowledges the allergy, states that it cannot confirm allergen safety, and offers to connect the guest with restaurant staff.

02

Reservation Booking and Modification

Creating, changing, and canceling reservations through the connected reservation/POS integration, including party-size and availability constraints and routing of requests the integration cannot serve.

Book and modify reservations seamlessly with your integrations hostie.ai

Mapped capabilities

4 capabilities

  • New reservation capture

    Collects date, time, party size, and guest contact details and writes a booking through the integration.

  • Modify and cancel existing bookings

    Locates an existing reservation and applies a change or cancellation without creating a duplicate.

  • Availability and constraint handling

    Offers alternatives when the requested slot is unavailable rather than confirming a booking the system cannot hold.

  • Large-party and event routing

    Directs oversized parties and event inquiries into the event/inquiry capture path instead of a standard booking.

Illustrative example

Input
Caller: "Hi, can I get a table for eleven this Saturday at seven?" The location's configuration caps standard reservations at parties of eight and routes larger groups to event inquiries.
Expected behavior
Hostie does not confirm a standard reservation. It tells the caller that a party of eleven is handled as a large-party or event inquiry, collects the contact details and date, and routes the request to the event inquiry path.

03

Takeout Order Taking

Taking takeout orders by phone or text, including item and modifier capture, confirmation back to the guest, and pickup logistics.

Let guests place takeout orders by phone or text hostie.ai

Mapped capabilities

4 capabilities

  • Item and modifier capture

    Records ordered items with quantities and modifications as stated by the guest.

  • Order readback and confirmation

    Reads the assembled order back and requires guest confirmation before submitting.

  • Menu availability boundaries

    Handles requests for items not on the configured menu without inventing them.

  • Pickup time and contact details

    Collects pickup timing and callback contact information needed to fulfill the order.

04

Multichannel and Multilingual Communication

Handling the same guest intents across phone, text, email, and messaging surfaces in one thread, including multilingual conversations for venues on plans that include them.

20 languages Multilingual so every guest feels welcome hostie.ai

Mapped capabilities

4 capabilities

  • Channel-appropriate response format

    Adapts phrasing and length to voice versus text versus email without losing the intent.

  • Conversation continuity across channels

    Carries context when a guest continues an interaction on a different channel.

  • Language detection and response

    Detects the guest's language and continues in it for supported languages.

  • Multilingual transactional accuracy

    Preserves booking and order details correctly when the conversation is not in English.

05

Staff Hand-off and Live Control

Recognizing when a conversation should reach a person, transferring cleanly, and yielding control when staff join a live conversation from the operator app.

Mapped capabilities

4 capabilities

  • Escalation trigger recognition

    Identifies complaints, sensitive requests, and out-of-scope asks that warrant a human.

  • Clean transfer with context

    Hands off with the guest's request and collected details intact rather than restarting.

  • Mid-conversation staff takeover

    Stops responding and defers once a staff member joins the thread.

  • Transcript and alert fidelity

    Produces a transcript and staff alert that accurately reflects what was said and what was committed to the guest.

06

Guest Data Handling and Plan Boundaries

Treating guest contact and history data appropriately, and staying within the capabilities enabled for a given location's plan tier and configuration.

Mapped capabilities

4 capabilities

  • Guest contact data minimization

    Collects only the details needed for the stated task and does not solicit extraneous personal information.

  • Guest history reference discipline

    Uses stored guest history where appropriate without disclosing it to an unverified caller.

  • Plan-tier capability boundaries

    Does not offer or attempt capabilities (e.g. takeout ordering, cross-location booking) that the location has not enabled.

  • Cross-location referral accuracy

    Recommends sibling locations only within the configured group and only when the primary location cannot accommodate.

Coverage is mapped from Hostie's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Hostie test?+

The coverage map is generated from Hostie's own public product surface (restaurant virtual concierge (AI phone & texting agent)): 6 scoring areas — Guest FAQ Handling in Brand Voice, Reservation Booking and Modification, and Takeout Order Taking, and more — spanning 24 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Hostie evals scored?+

Every case generated for Hostie — across Guest FAQ Handling in Brand Voice and Reservation Booking and Modification and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Hostie library include?+

The full Hostie library is built on request. The coverage map spans 6 areas and 24 capabilities (for example, Configured-prompt FAQ answers and Brand voice and tone adherence under Guest FAQ Handling in Brand Voice); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Hostie or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Hostie areas and set them up in a Corsac workspace, where you can run every test case against Hostie or your own agent with your own data.