A conversational AI agent that holds a real DM exchange — not a flow tree
Most "AI" in DM tools is a single LLM call inside a pre-built flow. Ours is a goal-aware agent that handles unscripted conversations end-to-end. Q2 2026 beta.
4 上线步骤
Define the agent's goal
Book a demo. Recover a cart. Sell a $50 SKU. Agent works backward from there — every message moves toward the goal.
Train on your knowledge base
Upload product info, FAQ, objections, brand voice samples. Agent grounds answers there — no hallucination.
Configure hand-off rules
On high-intent ("ready to buy"), confusion ("doesn't make sense"), or complaint signals — route to human inbox.
Watch live conversations and tune
Dashboard shows every conversation. Flag bad responses to retrain. 1–2 weeks to dial in.
Course creator handles a typical inquiry
示例场景 — 非真实客户。
A creator gets a DM from someone considering the cohort.
Hypothetical: agent handles 80% of qualifying DMs end-to-end, 20% hand-off to human. Creator saves ~12 hrs/week, books 2x more calls.
现成流程
Course/cohort qualifier
Any inbound DM
AI qualifies fit, books call or sends self-paced link
DTC pre-purchase questions
Product question DM
AI explains, recommends, sends checkout
B2B demo qualifier
Outbound DM reply
AI runs BANT, books demo or disqualifies
常见错误
Letting AI handle pricing objections without hand-off
Hand off on pricing — humans close better on that emotion.
Generic "helpful assistant" tone
Train on 5–10 of your real DMs. Agent matches tone — first-person, your phrases.
No grounding in product catalog
Upload SKUs, prices, FAQ. Agent answers from facts, not invention.
常见问题
Beta in Q2 2026. Today: keyword-triggered DMs + AI brand-voice replies on comments.