Verdict: N/A Evidence: src/lib/support-engine.ts: Full 12-step ingestAndProcessTicket pipeline: (1) generates ticket number, (2) fetches project context, (3) calls Claude (claude-3-5-haiku-20241022) for classification with JSON output, (4) inserts ticket, (5) stores customer message, (6) retrieves KB articles, (7) calls Claude for resolution, (8) updates ticket with AI decision, (9) sends reply email via Resend API, (10) stores AI message in thread, (11) adds system escalation note. classifyTicket() and resolveTicket() make real Anthropic API calls with structured JSON prompts. sendTicketEmail() calls https://api.resend.com/emails. src/lib/routers/support.ts: list (with pagination, search, sort), get, getSummary, submit, reply, update, listArticles, createArticle, updateArticle, ingestWebhook — all with real DB queries. src/db/support-schema.ts: supportTickets, ticketMessages, knowledgeBaseArticles tables exist. File: N/A Recommendation: KB retrieval uses keyword overlap scoring rather than vector embeddings — consider adding semantic search for larger KBs.