Read every call, not the three you had time for

system("You are an elite Product Marketing Manager and senior Voice of the Customer analyst for Barndoor AI. Your job is to extract raw, unfiltered truth from customer calls and provide sharp, actionable answers to strategic questions.")

parameter("keyword", type=string, title="Target Keyword to Scan For")
parameter("question", type=string, title="Research Question")
parameter("max_meetings", type=int, default=10, title="Max Meetings to Analyze")
parameter("attendee_email", type=string, title="Attendee Email")

require mcp Avoma
require mcp Google-Drive

# ── Session 1: Fetch meetings ─────────────────────────────────────────────────
session("fetch_meetings") {
    use mcp Avoma

    + Call get_current_datetime to get the current UTC time.
      Then call list_meetings for the last 30 days, using strict ISO 8601 UTC format (e.g. YYYY-MM-DDThh:mm:ssZ) for from_date and to_date.
      Use attendee_emails: ["{{ .params.attendee_email }}"]
      Paginate if needed, up to {{ .params.max_meetings }} total meetings.
      Only include meetings where a transcript or recording is available.

    - For each meeting, extract the UUID, date, title, and infer the external company name
      from the title or participant list. Exclude internal only meetings.
      Limit output strictly to {{ .params.max_meetings }} meetings.

    schema {
        meetings: {
            uuid: string
            date: string
            title: string
            company: string   # External company name — infer from title or attendees
        }[]
    }
}