← Back to all camps
CAMP A · SESSION 7 · 28–29 NOV 2026 · WEST BUND, XUHUI, SHANGHAI · MOSH · TWO TRACKS

AI Expert Agent Bootcamp + Turning Your Twin into Revenue

A two-day, one-night immersive bootcamp. The main track, Expert Agent Lab, is built for decision-makers and core business leads:cases, not concepts; paths, not code — and you leave with a benchmark agent running live. This session, for independent experts and founder-operators, addsModule 6: Turning Your AI Twin into Revenue, taught by the founder of Myriad Masters:Pu Haichuanturn your expertise into a twin that works, takes orders and earns for you 24/7.

For:Founders / CEOs / business owners / independent experts / one-person companies (OPC) When:2026.11.28 — 11.29 Where:Longtai Road, West Bund, Xuhui, Shanghai · MOSH
微信咨询二维码
Scan to add us on WeChatAgenda / seats / fit
03

Why you have to move now

Agents have moved from concept to scale —these are real results from companies in previous cohorts.

90%+¥80CNY 10k / yr

A listed food company

Headcount needs cut by 90%+, roughly CNY 800k saved per year, processes about 5× faster.

Source: public bootcamp case

85%+¥150CNY 10k / yr

A global top-tier coatings company

Search efficiency up 85%+, roughly CNY 1.5m saved per year.

Source: public bootcamp case

90%+¥120CNY 10k / yr

A core Apple supplier

Headcount needs cut by 90%+, roughly CNY 1.2m saved per year.

Source: public bootcamp case

95%+¥200CNY 10k / yr

A global electrical distributor

Headcount needs cut by 95%+, roughly CNY 2m saved per year; contract risk detection accuracy above 95%.

Source: public bootcamp case

But now that competitors are running, is your company stuck at one of these three walls?

"Want to use it but cannot; can use it but badly; use it well but see no result" — the three pains of enterprise AI, and ones we know well.

PAIN 01

Cognitive gap

Decision-makers see the value,but cannot map it to their own business — and a flood of tool lists only adds anxiety.

PAIN 02

Deployment gap

Technical teams lack hands-on experience;prototypes to production keep hitting the same pits. The demo belongs to someone else; the scenario is yours.

PAIN 03

Wasted investment

Tools bought, teams built,and still no visible ROI. Running is not selling, and certainly not saving.

04

The bootcampfour outcomes

Every outcome is settled by an on-site output.From "what AI can do" to "how my company should use it" — in two days.

1

See AI in business and find your direction

From "what AI can do" to "how my company should use it"

  • Understand the different paths: individual productivity, team productivity, company competitiveness
  • Tell "AI+" (new business) from "+AI" (optimising what exists), and pick the right entry for now
  • Master the five-step productivity method: refresh thinking, choose the scenario, break the flow, organise knowledge, use the tool
on-site output

A judgement of your company'sAI direction, plus a method that moves from thinking to action

2

Pick a three-axis scenario and break out an action plan

From scattered ideas to one clear entry point

  • Screen with the three-axis rule — high value × high frequency × high marginal cost — so you never hunt for a scenario to fit a tool
  • Break the flow with SSP: Status defines the result and state, Steps splits the work, Point finds the key action and its inputs
  • Decide what AI can carry and what needs a human fallback, then present the plan and absorb feedback
on-site output

A three-axis scenario card plus an action-plan presentation: one priority scenario with its flow broken down

3

Extract expert judgement into rules AI can execute

From "the expert can do it" to "the AI knows how"

  • Three cases — methodology, rule-based calculation and tacit experience — show how different knowledge becomes usable expert knowledge
  • The IPO method: Input, Processing, Output — say clearly what experience, judgement and delivery standard actually are
  • Add good and bad examples, applicability boundaries and handover conditions, ready for packaging and testing
on-site output

An IPO knowledge card built around a real key action, plus a method for extraction that is executable, testable and iterablePackage a Skill and run it once in WorkBuddy

4

From experience and plan to a demonstrable result

Study applied cases: customer profiles, sales scripts, content generation and B2B proposal generation

  • Master the five-step prompt method: role, input parameters, processing requirements, output specification, risk rules
  • Feed in your own business material, package a Skill, check and adjust the output, then present it
  • Feed in your own business material, package a Skill, check and adjust the output, then present it
on-site output

A packaged Skill, one WorkBuddy run, and an agent demo tested on site

05

Five modules across two days

Day one: reset the thinking, lock the scenario. Day two: build it live, close the loop.Every segment ends with a checkpoint output, not with "and that is the lecture".

DAY 1
28 Nov · Reset the thinking, lock the scenario
DAY 2
29 Nov · Build it live, close the loop
Graduation
Awards · review · photo

DAY 1 (28 Nov) · Reset the thinking, lock the scenario

MorningModule 1 · all participants

Resetting AI strategy

Move from treating AI as a tool to treating it as production capacity; see the difference between +AI and AI+, and decide where your company should break through first.

Checkpoint output: a judgement of your company's AI direction
AfternoonModule 2 · all participants

Screening for three-axis scenarios

Start from a real business problem and screen with high value × high frequency × high marginal cost to find the scenario worth breaking through first — a scenario looking for a tool, not a tool looking for a scenario.

Checkpoint output: one three-axis AI scenario
EveningModule 3 · groups

Breaking down the flow and locating leverage

Each group takes one three-axis scenario and uses SSP to break down the business flow and key actions, deciding where AI steps in and what it takes off people's hands — ready for the IPO extraction on day two.

Checkpoint output: a flow breakdown plus one AI leverage point

DAY 2 (29 Nov) · Build it live, close the loop

MorningModule 4 · groups

IPO extraction on site

Each group takes one real case through an IPO interview to extract and codify expert judgement, calibrating against good and bad examples to produce a knowledge draft ready for packaging.

Checkpoint output: one IPO expert knowledge card
AfternoonModule 5 · group A · enterprise agent track

Track A: package the Skill, present, get reviewed

Each group packages its knowledge card into WorkBuddy, tests and tunes it with real business data, and demonstrates a running demo; mentors review business value, AI quality and next steps group by group.

Checkpoint output: one running WorkBuddy demo plus one presentation
AfternoonModule 6 · group B · twin revenue track · taught by Pu Haichuan

Track B: turning your AI twin into revenue (new module)

Myriad Masters founder Pu Haichuan teaches it directly: turn your experience, resources, taste and method into a twin that works for you 24/7 — from positioning and deployment to pricing, acquisition and long-term operation, completing the move from selling time to selling a twin.

Take away: a revenue-ready twin demo, a twin pricing and acquisition sheet, and a 30-day monetisation plan
Closing segmentAll participants

Awards → expert review seats → collect checkpoints → photo

Individual and group MVP awards, an explanation of expert review seats, collection of the action-plan checklists, and a group photo.

Take away: the complete AI deployment action-plan checklist
06

Two days and one night, and you finish five checkpoints

and take away your own AI deployment action plan —bring a real business, leave with on-site results.

Checkpoint ①

Your company's AI direction

A clear direction for AI deployment

Checkpoint ②

Three-axis scenario card

One priority scenario chosen

Checkpoint ③

Action-plan presentation

Flow broken down, plan formed, feedback absorbed

Checkpoint ④

IPO knowledge card

One key action's expert judgement made explicit

Checkpoint ⑤

WorkBuddy Demo

Package the Skill and run it once on site

5 checkpoints = 1 AI deployment action plan

Not notes, not a recording —a plan you can take into a meeting, approve and hold people to.

NEW MODULE · 6 · TAUGHT BY PU HAICHUAN · GROUP B · TWIN REVENUE TRACK

Turning your AI twin into revenue

Built forindependent experts, founder-operators and one-person companies (OPC) as a revenue module. Your hours are finite; your experience is not. Hand the repeated questions to the twin and keep the first-time creation for yourself. This module is designed on Myriad Masters' real twin business: from positioning and deployment to pricing and acquisition —you build a twin that can take orders, on site

Taught by:Pu Haichuan · founder of Myriad Masters For:Independent experts / founder-operators / one-person companies / IP practitioners When:DAY 2 afternoon · in parallel with Module 5 by group
Module 6 outline · five units

From selling time toselling a twin

Drawing on the "five growth weapons" of Dedao New Business School and frontline AI monetisation practice, applied to Myriad Masters' real twin business.No tool demos — only how to turn experience into money.

Unit 6.1
Thinking

The marginal-cost trap of professional service

Why experts get busier and poorer: income equals time, and time has a ceiling. The twin logic: let it carry the repeated work and keep the first-time creation for yourself — created once, delivered unlimited times.

On-site output: a redefined income model
Unit 6.2
Positioning

Which part of your experience is worth the most

Audit four assets — experience, resources, taste, method — with three questions: will anyone pay, is it asked repeatedly, can it be expressed as a standard? Push yourself from "I can do everything" to "my twin does one thing".

On-site output: your twin positioning card
Unit 6.3
Build

A twin demo in one hour

Persona, knowledge feeding, boundary and refusal rules, deployment — build a twin that talks in WorkBuddy, and learn to judge whether it sounds like you.

On-site output: a twin demo that talks
Unit 6.4
Monetise

Pricing, acquisition and delivery

Three pricing forms — per use, subscription, annual — and how to set the value anchor. Where the first ten customers come from: owned audience, self-media, referrals. Delivery boundaries: what the twin takes and what you take yourself.

On-site output: a twin pricing and acquisition sheet
Unit 6.5
Operate

Data stays yours, returns compound

Why the twin's data must stay in your hands — property, not charity. Running your own account, designing repeat purchase and referrals, and moving from one sale to an income that never stops.

On-site output: a 30-day monetisation plan

Choosing your track:decision-makers and business owners take Track A (enterprise agents)and follow the five-module main line; independent experts, founder-operators and one-person companies who want their own twin take Track B (twin revenue), with Pu Haichuan for Module 6. Both tracks share the room; Modules 1–2 and the closing presentations are joint.Please state your track when registering.

07

Instructors

Session 7 instructors —all practitioners of enterprise AI deployment, with verifiable results.

Photo to come

Pu Haichuan

Founder of Myriad Masters · Module 6

Lead instructor for Turning Your Twin into Revenue. Years in professional-service digitisation and online education; founded Myriad Masters to turn what experts in every field know into an AI twin that works for them 24/7 — so that experts and masters reach everyone.

Module 6 · twin revenue · taught end to end Full biography to be supplied
Photo to come

Lu Yunkun

Lead instructor

  • Founder of Yonger Houxian Intelligent Technology (a MOSH resident company)
  • Co-initiator of the TGO Kunpeng AGIA community
  • Invited lecturer on enterprise AI deployment, Microsoft AIoT Lab
  • Certified senior AI application engineer (MIIT)
  • Alibaba Cloud MVP
Photo to come

Shi Tou Ge

Enterprise efficiency architect

  • Enterprise efficiency architect and AI innovation host
  • Fudan MBA
  • Former P9 expert at JD.com
  • Former business vice president at Citibank
  • Former executive at SPD Silicon Valley Bank
Photo to come

Ruan Weili

Organisation and leadership coach

  • Partner at Yonger Houxian, using AI to empower business, talent and organisation so companies keep delivering results
  • Host of AI innovation coaching, running custom AI reading groups and innovation workshops for companies, government and public institutions
  • 22 years in organisation development and leadership consulting
  • Has served Fortune 500 companies
Photo to come

Guo Shuai

AI marketing growth instructor

  • Host of the Yitang Shanghai AI study society, founder of the AI reading club
  • 10+ years of marketing management at Fortune 500 companies (Tesla, Jeep and others)
  • Nanjing University MBA, PMP
  • Repeated top salesperson at major platforms, generating over ¥500m a year for brands

※ Instructor biographies are taken from Session 7 published material; photo frames are placeholders to be replaced. The teacher bootcamp line-up will be announced separately.

08

Who should come, and whoshould not来

This part is deliberately blunt.The wrong booking wastes your time and ours.

✓

Come if you are

  • A founder, shareholder, CEO or business owner (Track A)
  • A decision-maker at a company with annual revenue from tens of millions to several hundred million (Track A)
  • An independent expert with a craft, experience or method — someone who wants that experience to become income that never stops (Track B)
  • Want your own twin instead of trading time for money —founder-operator (Track B)
  • One-person company (OPC): one person running a whole company, needing a role that never asks for a salary or a holiday (Track B)
  • A manager driving AI into the business who needs to see best practice and a clear path (Track A)
  • Anyone willing to bring a real business and get their hands dirty (both tracks)
×

Do not come if you

  • Want to "learn a bit first" before deciding
  • Expect to write code and become an engineer in two days
  • Only want a template to take home without doing the work
  • Think AI is a scam, or that AI can do everything
  • Would rather hear success stories than do the work yourself
One strong suggestion:bring one operations or AI-deployment colleague —the owner only needs the path; someone else carries the execution, and the effect doubles.
09

What past participants say

Taken from on-site sharing in previous cohorts.On thinking, on doing, on the path to deployment.

On resetting the thinking

Something I found vague became this clear. Once you think through the difference between "AI plus" and "plus AI", you use the AI-plus strategy to do the plus-AI work.

— past participant · on-site sharing
On hands-on work

We actually built it today, and the assessment report is genuinely complex. I think we can start testing it with clients.

— past participant · on-site sharing
On hands-on work

When I heard the phrase "expert agent" it was like a lightning strike — it solved all my problems.

— past participant · on-site sharing
On the path to deployment

Much of our business already runs on agents, and we built them ourselves.

— past participant · on-site sharing
10

Registration

Session 7 · AI Expert Agent Bootcamp · closes when full. Returning companies: 10 places only, first come first served.

RECOMMENDED · COME AS A TEAM
Standard course fee
¥6980 / for 3

Bring an operations or AI-deployment colleague
the owner gets the path, the team carries execution

Single seat
¥2980 / person

For a single attendee
Course material and the hands-on toolkit included

Returning companies
¥199 / person

Covers material cost only
10 companies only, first come first served

Time
28–29 November 2026
Two days, one night
Venue
Longtai Road, West Bund, Xuhui
MOSH, Shanghai
Included
Course material and the hands-on toolkit
closes when full
Before you register:please complete the pre-course questionnaire (company size, sector, current pain points) so we can plan the fit and get the most from the two days.
Teacher Bootcamp:dates and pricing are announced before that camp opens; you can reserve a seat and ask questions now.
Scan to register See the agenda
11

FAQ

What does "¥6,980 for 3" mean?

One standard fee covers up to three people. We strongly suggest bringing one operations or AI-deployment colleague: the owner only needs the path, someone else carries the execution, and the effect doubles. Companies that send one person deploy far less afterwards.

Track A or Track B? What does Pu Haichuan's Module 6 cover?

It depends on your goal:Track A (enterprise agents)follow the five-module main line, built for decision-makers, and run an enterprise-grade agent on site;Track B (twin revenue)built for independent experts, founder-operators and one-person companies. Module 6 is taught by founder Pu Haichuan in five units: monetisation thinking, twin positioning, building the demo, pricing and acquisition, data ownership and long-term operation — you build a twin that can take orders, and leave with a pricing and acquisition sheet plus a 30-day plan. Both tracks share the room; Modules 1–2 and the closing presentations are joint. Just state your track when you register.

Several camps run in parallel — which one?

It depends on who you are and what you want:Founders, CEOs and business owners take Session 7 of the AI Expert Agent Bootcamp; independent teachers who want enrolment, acquisition and teaching efficiency take the Teacher Bootcamp.If you are unsure, tell us about your business when you register and we will recommend one.

I am not technical — can I keep up?

Yes, and that is the design premise: learn the path, not the code. What you need is the ability to describe what your company needs and to judge whether the output is good. Packaging happens in WorkBuddy, with mentors working group by group.

Can two days really produce a usable agent?

Yes — provided youbring a real business and real data. Previous cohorts have delivered real results in headcount saving, search efficiency and contract risk (see the cases on this page). We do not build demos in a vacuum; we package your real process into a running agent.

What do returning companies get?

Returning companies pay ¥199, covering material cost, limited to 10 companies this session. Bring a new business scenario and apply the method to the next line of business.

Will the content be updated? AI moves fast.

Yes. Content iterates with platform capability, and cases and tool lists are refreshed every session. What we would rather guarantee:stable at the method level (five-step method, three axes, SSP, IPO, five-step prompt), continuously updated at the tool level.

Can I get a refund after booking?

Refund and transfer rules follow the official booking notice. Seats are limited and pre-course preparation is required, so please attend once confirmed, or transfer the seat to a colleague.

SESSION 7 · 28–29 NOV · MOSH SHANGHAI · TWO TRACKS · CLOSES WHEN FULL

Two days later,
your company hasa genuinely usable agent,
and you, the expert or one-person company, havea twin that earns

Cases, not concepts. Paths, not code.
bring a real business, leave with on-site results.

Book Session 7 Meet Myriad Masters first
微信咨询二维码

Scan on WeChat · ask directly

Support
Scan to add Myriad Masters on WeCom
Myriad Masters WeCom QR code
Hours9:00 – 18:00