Join a video meeting as an AI bot with voice, avatar, and screenshare across four operating modes.
Data & analysis
Show Booking
Try itBook real estate showing tours from emailed or pasted listing details, including extracting listing data, preparing outbound call jobs, coordinating a callin...
What it does
Execute an end-to-end workflow for showing requests: 1. Parse intake from free-form prompt or email text. 2. Build per-listing call jobs. 3. Hand off call execution to the sub-agent. 4. Generate calendar invite files from confirmed slots. 5. Return a concise confirmation summary.
The skill document
Show Booking
Overview
Execute an end-to-end workflow for showing requests:
- Parse intake from free-form prompt or email text.
- Build per-listing call jobs.
- Hand off call execution to the
tour-bookingsub-agent. - Generate calendar invite files from confirmed slots.
- Return a concise confirmation summary.
Inputs
Collect these fields before running outbound calls:
- Client full name.
- Listings (address, listing ID if present, office phone, listing office/agent name if present).
- Preferred windows and timezone.
- Booking constraints (lockbox notes, occupants, minimum notice).
- Confirmation target (email/SMS destination for status updates).
If any listing is missing a phone number, flag it as blocked and do not place calls for that listing.
Workflow
1) Parse intake
Run:
python3 scripts/intake_request.py --input-file /path/to/intake.txt --output /tmp/showing-intake.json
Or pass inline text:
python3 scripts/intake_request.py --input-text "Book showings for ..." --output /tmp/showing-intake.json
2) Build call queue
Run:
python3 scripts/orchestrate_showings.py --intake /tmp/showing-intake.json --output /tmp/showing-plan.json
This produces:
call_queue: listings with phone numbers ready for calls.blocked: listings missing required data.calendar_candidates: records ready for invite creation after call confirmation.
3) Delegate calling to tour-booking
For each call_queue record, invoke tour-booking/scripts/place_outbound_call.py with:
- Listing metadata.
- Preferred windows.
- Client identity.
- Callback instructions.
If live calling is not approved, run with --dry-run and return the generated payload.
4) Create invites for confirmed slots
When a listing returns a confirmed date/time:
python3 scripts/create_invite_ics.py \
--input /tmp/confirmed-showings.json \
--output-dir /tmp/showing-invites
The script emits one .ics file per confirmed showing. Import into Google Calendar or send directly as attachments.
5) Return status
Report:
- Confirmed showings with time, address, and invite file path.
- Pending callbacks.
- Blocked listings and the missing field(s).
- Total calls attempted and success/failure counts.
Guardrails
- Explicitly identify the caller as an AI assistant acting for the brokerage/realtor.
- Respect local telemarketing and consent requirements.
- Keep a full audit trail: request payload, call result, booking outcome, and timestamps.
- Never claim a showing is confirmed until the call result explicitly indicates confirmation.
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