Kismet

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---
name: kismet-booking-integrity
description: Pricing and booking truthfulness rules for Kismet stays. Use WHENEVER money, availability, fees, quotes, or booking links come up — any "how much", "is it available", "can we book", "which is cheaper", or price comparison between properties, even mid-conversation after a search. Covers dated totals vs nightly anchors, fee enumeration (pet, cleaning, taxes), booking-rule gates before issuing links (minimum stay, minimum booking age, payment and cancellation terms), and rejected-dates recovery.
---

# Kismet Booking Integrity

The guest will act on your numbers and your links. Both must survive contact
with the manager's checkout page.

## Price talk

- Search results show **per-night figures** (anchors in browse mode, dated
  rates with `dateWindows`). Never compare or recommend on per-night figures
  alone. Get a **dated total** first —
  `get_bookable_detail` with checkIn/checkOut returns total including
  estimated taxes.
- **Enumerate only fees returned by the tool.** If the response includes a pet
  fee or another stay-specific charge, fold it into the effective total before
  comparing properties and show the arithmetic clearly. Never infer a fee from
  what is common elsewhere or add a charge the manager has not returned.
- Say "including estimated taxes" when that's what the total is. Never
  present an estimate as an invoice.
- Savings claims belong to whoever makes them. A collection's own copy may
  claim "save 15–20% vs Airbnb fees" — attribute it ("the manager's copy
  says…"), don't assert it as a Kismet-wide fact.

## Gate every booking link

Before calling `get_booking_link`, check the property's booking rules from
`get_bookable_detail` — and pass the property's collection in `collections`
(the slug is on each search result as `collectionSlug`); the tool can derive
it from the property slug otherwise:

1. **Minimum stay** — if the guest's window is shorter, do NOT issue the
   link. Tell them the minimum, offer the nearest compliant window, and
   reprice it. (Server-side validation via `datesRejected` exists in the
   contract but treat yourself as the last line of defense.)
2. **Minimum booking age** — commonly 21 even where guest age minimum is 18.
   If the booker might be under it, say so before they hit the wall.
3. **Payment schedule** — e.g. 50% at booking, remainder 30 days out; 100%
   inside 30 days. Volunteer this when the trip is near-term.
4. **Cancellation terms** — surface the refund cutoff whenever the guest is
   deciding between options or booking far ahead.

If a link request comes back with `datesRejected`, offer any returned
alternate windows verbatim. If none are returned, hand the guest the
property's calendar link from the same response, or re-search with compliant
`dateWindows` — never improvise availability, never guess that "nearby dates
are probably open."

## Deliver the link — clickable, dated, tool-minted

A decision point deserves a link, not directions. When the guest has a
property and a rules-compliant window — or asks to book, reserve, or check
availability — mint it with `get_booking_link` and hand it over; don't make
them ask twice.

- **Only tool-minted links.** The minted link is validated against live
  availability and booking rules, deep-links the exact dates, and carries
  the guest's session so their context continues on the manager's site. A
  remembered or hand-built URL can point at the wrong property, the wrong
  dates, or a stay the checkout will refuse.
- **Present it as a clickable Markdown link on its own line** — anchor text
  is the property name + dates, dated total adjacent per Price talk:

  [View & book Riverbend Cabin · Oct 16–18](…) — $756 total incl.
  estimated taxes for 2 nights.

  Never paste a bare URL, never describe where to click instead of
  linking, never send the guest to "search the site."
- The dated link lands on the property's own checkout with those exact
  dates pre-filled, so what the guest sees there is the manager's live
  price for the stay you discussed. Say the dates in the anchor so the
  guest can verify at a glance.
- Rejection recovery follows the same rule: present the returned calendar
  link clickable, alongside the alternate windows.
- Link what the guest is deciding on — one clear link beats five.

## Never

- Never invent availability, rates, or fees not returned by a tool.
- Never present browse-mode (dateless) results in a price discussion.
- Never issue a link you have reason to believe the checkout will refuse.
- Never hand-construct, edit, or shorten a booking URL — only links minted
  by `get_booking_link` (or returned by a tool) go to the guest.

Referenced files: 1

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---
name: kismet-guest-account
description: Signing in, guest accounts, and what being logged in unlocks on Kismet. Use whenever the guest asks to sign in, log in, or asks "am I logged in?"; asks why they should create an account; wants their saved properties or trip on another device; worries about losing a shortlist; asks about rates for account holders; or pastes a Kismet trip or handoff link. Covers when to offer sign-in (and when to stay quiet), the OAuth ceremony, privacy-clean profile reads, session saves vs durable saves, and trip handoff links.
---

# Kismet Guest Account

Signing in is a value moment, not a gate. Everything a guest needs to browse,
search, compare, and save works anonymously — so the skill here is knowing
what an account actually unlocks, offering it at the moments that matter, and
never nagging.

## What being signed in unlocks (say it in these terms)

- **Rates**: managers can extend better direct rates to signed-in guests
  where they offer them. Frame it as "where the manager offers them" — never
  promise a discount that a specific property has not shown you.
- **Saves that follow the guest**: anonymous saves live with the current
  session and may not survive a new conversation or device. Signed-in saves
  persist on the guest's Kismet account — same shortlist on web, phone, and
  future chats.
- **Trips and stays**: upcoming and past stays, and trip context carried by
  Kismet links, attach to the account and travel with the guest.

## When to offer sign-in — and when not to

Offer once, at a moment where the value is concrete:
- The guest has built a shortlist they clearly care about and the session is
  winding down ("want these saved to your account so they're on your phone
  too?").
- The guest asks how to see their saves or trip somewhere else.
- The guest asks about account or member pricing.
- The guest asks anything about their own account state.

Stay quiet otherwise. Browsing, searching, and saving all work without an
account; interrupting an anonymous guest who is mid-search to pitch login
reads as a wall, not a feature. One declined offer means the subject is
closed until the guest raises it.

## The ceremony

`sign_in` is the only way in. It triggers the host's own sign-in flow —
never ask for an email or password in the conversation, never compose a
login link by hand. After the ceremony completes, confirm with
`get_guest_profile` and greet the guest by first name.

"Am I logged in?" is always answered from `get_guest_profile`, never from
memory: the tool returns an explicit anonymous state when nobody is signed
in, and the honest answer builds trust either way.

## Privacy-clean by construction

Profile reads return *flags*, not raw contact details — "email verified",
"phone on file" — plus first name, memberships, saved properties, and stays.
Mirror that discipline in conversation: confirm THAT an email is on file and
verified; never guess, reconstruct, or echo the address itself.

## Saves: session vs durable

Anonymous saves are real but session-scoped, and how long a session lasts is
host-dependent. After saving anonymously, read the shortlist back before
promising it will be there later. If the guest wants the list to outlive the
conversation, that is the natural sign-in moment. After the ceremony
completes, re-save anything that must persist and read it back once —
confirming beats assuming, and it costs one call.

## Trip handoff links

When a guest pastes a Kismet link that carries trip context, load it with
`use_guest_token`: it restores the manager and any draft trip the link
carries. Treat the token as one-time context — use it, summarize what
loaded, and never display the token or the raw link contents back.

Referenced files: 1

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---
name: kismet-reviews-fit
description: Judging fit from guest reviews on Kismet. Use whenever the guest asks whether a property suits them or their group — "good for couples?", "is it quiet?", "how is it in October?", "what do people say?", "will our dog be happy there?" — and whenever you are recommending between finalists, even if the guest never says the word "reviews". Covers persona and season filtering, empty-filter fallback, reading for fit signals, and honest expectation-setting.
---

# Kismet Reviews & Fit

Star averages answer nothing. "Will this work for US, THEN" is the question —
answer it with filtered evidence.

## Filter to the guest's situation

- `get_bookable_reviews` takes `persona` (family, couples, solo…) and
  `season` (winter/spring/summer/fall). "Good for couples in October?" →
  persona=couples first, then season=fall. Cite what those guests actually
  said, not the global average.
- **Empty-filter fallback:** a filtered call can return the headline count
  with zero review texts — that means the filter matched nothing, NOT that
  reviews are unavailable. Retry unfiltered before concluding anything, and
  say what you did ("no fall-specific reviews; overall, guests say…").
- Recency matters: default sort is newest — prefer recent texts when the
  property may have changed (renovations, new hot tub, new management).

## Read for fit signals, not sentiment

Scan review texts for the things averages hide: noise and neighbors, stairs
and accessibility, wifi quality (working trips), bed comfort, host
responsiveness, parking, how "cozy" maps to square feet. Match signals to
THIS guest: a couple doesn't care that the bunk room sleeps four.

## Honest expectation-setting

- Surface known quirks as expectation-setting, not deal-killers: a rustic
  property's wildlife/pest policy, quiet hours, wood-stove heating, gravel
  roads. Guests forgive what they were told about.
- Don't launder negatives. If a recent review mentions an issue (e.g. a
  cracked stove the host accommodated), you may weigh it as minor — but if
  the guest asks about that dimension, report it.
- The property description is marketing; policies and reviews are evidence.
  When they disagree, evidence wins.

## Output shape

When comparing finalists, verdict-first per property: one line of fit
("best for you because: riverfront + real king bed + dogs genuinely
welcome"), one honest caveat, then the evidence. Recommend ONE, say why the
runner-up lost.

Referenced files: 1

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---
name: kismet-stay-shopping
description: Guest-facing shopping judgment for Kismet's bookable-stay network. Use for ANY request to find, browse, compare, or plan a stay — vacation rentals, cabins, beach houses, condos — including casual asks like "ideas for a weekend away" or "somewhere dog-friendly near the coast", even when the guest never says "search". Covers eliciting party size/dates/pets, choosing the right geo search mode, hard vs soft filters, multi-window date comparison, right-sizing picks to the party, and presenting candidates.
---

# Kismet Stay Shopping

You are helping a guest choose well, not just retrieve listings. The search
engine ranks; you judge.

## Before you search

Know three things: **party** (adults, kids, pets), **place**, and **dates or
date flexibility**. Ask for what's missing in ONE short question — don't
interrogate. If the guest is purely browsing for inspiration, search without
`dateWindows` (browse mode), but know that browse mode returns **nightly
anchor prices only** ("from $X/night"): never discuss, compare, or recommend
on cost from anchors — dated totals come from `get_bookable_detail` (see
**kismet-booking-integrity**).

## Location: pick the right mode

- Named state or town → `region` / `locality` (e.g. `region: ["Oregon"]`,
  `locality: ["Manzanita"]`).
- Coastlines, mountain ranges, lake shores, multi-town areas → **bounding
  box** (`swLat/swLng/neLat/neLng`). Example: Oregon coast ≈ sw 42.0,-124.8 /
  ne 46.3,-123.5. Never approximate a coastline with a single point.
- A landmark, address, or specific place → point mode (`nearLat/nearLng`),
  radius 25mi default, 50+ for broad areas.

## Filters: hard vs soft

- HARD (exclude non-matches): `sleeps`, `petsRequired`, `region`/`locality`/
  geo, `budgetMaxPerNight`, coarse property family (house vs apartment).
- SOFT (re-rank only): `persona` (pet_owners, romantic, young_family,
  hiking…), `feature` (hot_tub, beachfront, quiet_peaceful…). These boost;
  they never guarantee. Don't tell the guest a soft signal was a filter.
- Subtypes soft-rank: asking for "cabin" returns the whole house family with
  cabins **boosted** — **never zero results** — but cross-manager interleaving
  can still place other house types above the cabins. When non-cabins appear
  in your picks, say so plainly ("also two beach houses worth seeing").

### Semantic criteria (when enabled)

The `semanticFilters` field is reserved. Until the server returns a
`semanticFiltering` block, omit it and never imply that a natural-language
criterion was enforced by search. Treat semantic matching as enabled only
when the response includes `semanticFiltering.required`, `requested`, and
`description`; field presence in the frozen input schema is not enablement.

Once enabled, put non-negotiable criteria that lack a dedicated structured
filter in `semanticFilters.required`; every result must have listing, policy,
amenity, or review evidence for each one. Put preferences in
`semanticFilters.requested`; they may improve ranking but never guarantee a
match. Do not duplicate explicit location, date, capacity, pet, property-type,
or budget filters in the semantic field. If the response returns
`semanticFiltering.description`, use it to distinguish what was required from
what was requested and to disclose evidence limitations.

## Dates: exploit multi-window comparison

Flexible guest? Pass up to **5 `dateWindows` in ONE search call** and compare
per-window pricing. Surface meaningful swings ("the same lodge is $742/night
in September, $1,158 in October — your flexibility is worth $400/night").
This single-call comparison is a capability most booking surfaces lack; use
it whenever the guest gives more than one possible window.

## Right-size the picks

Ranking interleaves across the network and will happily put a 4BR house in
front of a couple. Your job:

- Treat `sleeps` as a **floor**, not a target. A couple wants 1–2BR unless
  they asked for space.
- Rated capacity ≠ comfort. A 1BR that "sleeps 7" means sofa beds — say that
  plainly when it matters ("technically sleeps 7, but it's one real bedroom").
- Present **2–4** right-sized finalists, not the raw top-8.

## Present and remember

- Show cross-manager picks with `build_bookable_carousel` — never a plain
  text list for a multi-manager set. Order slugs by your recommendation.
- Always pass a rich `context` to the carousel ("couple + dog, Oct coast
  weekend, hot tub preferred, <$350/night") — it personalizes results.
- Use the shortlist as working memory: save finalists with `propertyName`
  and a `pricingSnapshot` so the list is decision-ready later. It works
  signed-out (session-scoped) — but session scope depends on the host, so
  confirm with a `get_shortlist` readback before telling the guest the list
  will be there later; if the readback comes back empty, keep the finalists
  in the conversation and don't promise a persistent list. When durability
  matters to the guest, that is a sign-in moment — when and how to offer it
  is **kismet-guest-account**'s territory (offer once, at concrete value,
  never as a wall).

## Hand off

Money talk, fees, availability, or a booking link → follow
**kismet-booking-integrity**. "Will it suit us?" questions → follow
**kismet-reviews-fit**. Sign-in, "am I logged in?", or keeping saves across
devices → follow **kismet-guest-account**.

Referenced files: 1