K2 Lab's Wang Ming: Muse saves people money, Moras makes them money — that's the real need for vertical personal AI对话K2 Lab王铭:Muse帮人省钱,Moras帮人赚钱,这才是垂直赛道Personal AI的刚需
对话K2 Lab王铭:Muse帮人省钱,Moras帮人赚钱,这才是垂直赛道Personal AI的刚需K2 Lab's Wang Ming: Muse saves people money, Moras makes them money — that's the real need for vertical personal AI
对话K2 Lab王铭:Muse帮人省钱,Moras帮人赚钱,这才是垂直赛道Personal AI的刚需K2 Lab's Wang Ming: Muse saves people money, Moras makes them money — that's the real need for vertical personal AI
Guests: 王铭 · K2 Lab(攀峰智能)
K2 Lab 王铭谈 Moras:面向海外中腰部达人的 Personal Commerce Agent,按成交结果分成,首季度 GMV 超千万美元K2 Lab's Wang Ming on Moras, a pay-by-results personal commerce agent for mid-tier creators that did $10M+ GMV in its first public quarter
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Key points
Moras is a personal commerce agent for mid-tier TikTok creators abroad, handling product picking, scripts, content, cart linking, posting and review end to end.
Pure pay-by-results: creators pay no subscription or compute fees and Moras takes a share of commission; in its first public quarter it drove $10M+ in sales and nearly 10k creators made their first sale.
After scaling the public beta, unit economics briefly fell below 1 — unlimited AI output burned compute and users churned without human support; reworked interactions brought UE back above 1 within about a month.
It trains its own vertical models (multimodal understanding, agentic reasoning/orchestration, quality checks, ROI prediction) to cut cost and build a moat, while using Seedance and MiniMax H3 for video generation.
Wang argues personal-agent competition is shifting to the efficiency of trust and delegation; the long-term goal is A2A content commerce and a commerce agent OS for creators and merchants.
Quotes
“I want users to come as little as possible, while we do all of their work for them.”
“Today personal agents don’t compete on interaction efficiency, but on the efficiency of trust and delegation.”
“App companies that don’t build models will die; model companies that don’t build apps will fail.”