First test
Consumer membership / Content packs
- Buyer
- Frequent users
- Value received
- Ongoing series, advanced experiences, personalized content
- Validation
- Return → Purchase → Renew
XsiaoLung AI · Product and business logic · 2026.09
Turn every trend into a universe you can enter
AI turns timely topics into interactive experiences that people can discover, enter, complete, and remember.
Automated generators drive core supply; users can also submit ideas or materials for AI-assisted creation.
Trends → Automated generation → Interactive consumption
01 Opportunity · Content and distribution
Every content era needs its path to users
Portals, search, social, and recommendation continue to coexist. AI-generated interactive works are a new content form: they can be played, completed, saved, and remixed. The next problem is turning discovery into sustained use.
01
Portals / Directories
As pages and information multiplied, categories became the entry point · Yahoo, Sohu, Sina, NetEase, hao123
02
Search
Users arrive with intent and retrieve content · Google, Baidu, 360 Search
03
Social / Communities
Users become publishers; relationships and interests drive discovery · Facebook, Instagram, WeChat, RedNote
04
Feeds / Recommendation
Content proactively matches interests and continuously queues the next experience · TikTok, Toutiao, Douyin
05
AI-generated interactive works
XsiaoLung focuses on automated trend supply: turning timely, relevant topics into interactive works with immediate feedback.
02 Product · Core production and distribution
Trend-driven supply, connected to consumption by automated generators
A person sees a trend and wants to take part: use challenges and Q&A to understand it, simulations and choices to experience it, then save a result and share it with friends.
The platform turns trends into immediately usable works: topics map to suitable interaction formats, distribution enables instant discovery and participation, and related themes, saves, and follow-on exploration extend each visit. Planned quality control is automated checks → feedback correction → human escalation.
01
Trend input
Use topics already attracting attention as the entry point for production
02
Core supply · Automated AI generators
Turn a topic into Q&A, quizzes, simulations, and other interactive pages in roughly two minutes per page
03
User consumption
Use existing content immediately, receive a result, and share it
Assisted supply:Users submit ideas, materials, or remix requests → AI-assisted generation → platform publishing
Iteration:Use completion, sharing, and repeat-visit signals to improve topic selection and interaction formats
02 Product · Live pages
Five lightweight modules for everyday interaction
Test, learn, play, and converse are entry points into content. Completion, repeat visits, and users acquired through sharing determine priority.
MBTI personality test
Choose answers → Receive a result card
Self-discovery and social sharing
Ten-level scholar quiz
Answer each challenge → Explanations and rank
Progress within topics you care about
Keyword cloze
Drag words into blanks → Explanation for each answer
Turn reading into active participation
Trivia challenge
Timed answers → Feedback
Discover knowledge through short challenges
Role-play conversation
Situational dialogue → Branching story
Explore different outcomes through choice
02 Product · Rich modules and scenario delivery
Combine lightweight modules into complete event spaces
The CIOE case turns public information into an interactive booth map, combining search, wayfinding, and forum guidance in one event entry point.
3,229Exhibitors
13Vector floor plans
274Facility POIs
Expansion targets hackathons, showrooms, and exhibitions: reuse lightweight modules and preserve a content entry point after each event. The case covers public-data parsing and interactive engineering; figures describe project scale.
03 Validation · User journey and four-stage funnel
From automated supply to sustainable payment
Supply enters the platform first and users engage directly. Saves, sharing, and AI-assisted co-creation extend a single visit. Every deeper stage requires a new class of evidence.
- 01
Trend enters platform
Automated generators turn trends
into participatory experiences
- 02
User discovery
Through search, sharing, or platform entry
Users find relevant existing works
- 03
Participation and feedback
Complete a challenge, quiz, or simulation
Receive explanations and a personal result
- 04
Save and continue
Save content or results
Move into a related topic
- 05
Sharing brings visits
Share experiences and personal results
Turn friends into new participants
- 06
Assisted co-creation
Users propose ideas or remix requests
AI helps generate a new version
Continued use
Feedback informs the next supply and distribution cycle: real use tests what deserves generation and recommendation
- 01
Automated supply
Trend → AI generation → Usable work
Trend-to-publish time / Usability / Unit cost
From topic to usable work
Validation: usability and generation cost
- 02
Real use
Users start an experience and complete a meaningful task
Unique users / Valid starts / Completion
From built to used
Validation: start and completion rates
- 03
Sustained use
Users enter a second experience and return
Second-content use / Weekly retention / Saved returns
From one experience to a habit
Validation: cross-page use and weekly retention
- 04
Payment validation
Users pay and are willing to renew or repurchase
Cash collected / Renewals / Refunds / Contribution surplus
From sustained use to business value
Validation: renewals and contribution surplus
Funnel width represents stages, not measured conversion rates. Page inventory cannot substitute for use, retention, or payment.
The first users are knowledge-interest communities: people willing to take challenges and share results. Repeated use starts with daily community topics, themed progression, and friend-to-friend challenges, then expands to recurring learners, event participants, and organizers.
Market size is modeled as target population × activity × payment rate × ARPPU; education, gaming, and AI user markets are not added together. Expansion requires repeat use in the core scenario, maintainable supply, and reproducible single-channel acquisition.
04 Business · Buyers and value
Monetize interactive consumption and account for user incentives as costs
Core business loop: trend-driven AI supply → meaningful consumption → retention / distribution → payment or brand value.
Traffic monetization candidate
Advertising / Brand interaction
- Buyer
- Advertisers and brands
- Value received
- Trend-relevant, measurable interactive reach
- Validation
- Meaningful engagement → Conversion → Reinvestment
Scenario expansion
Enterprise services / Standard products
- Buyer
- Event and content organizers
- Value received
- Interactive-space delivery and operating capability
- Validation
- Paid delivery → Module reuse → Repurchase
Interactive model · Total revenue fixed at RMB 100
Move the variables to see revenue mix and cost allocation
100 − 30 − 60 = 10 RMB operating surplus
Illustrative economics, not actual operating data: baseline revenue is RMB 100 and operating surplus excludes taxes and financing costs. Incentives are budget-capped and allocated to meaningful participation and high-quality co-creation. Incentive expense and the proposed 20% annual profit-sharing mechanism are accounted for separately; the allocation base and conditions remain to be defined.
05 Team · Founder and execution
Engineering × Global experience × Full-stack delivery
The founder independently delivers the full path from trend input to a live page, combining technology, scenario design, and finance.
-
Background
U.S. B.S. and M.S. in Electrical Engineering; MBA candidate at Shanghai Jiao Tong University; experience across nine companies including Fujifilm, Block, Roblox, and Rippling.
-
Automated generation
Independent delivery from trend selection through generation to a live AI interactive page.
-
Full-stack delivery
Algorithms, backend, and frontend; the CIOE case demonstrates delivery of a complex interactive scenario.
06 Next · What to validate
Invest in retention, not page inventory
Direct resources to retention iteration, high-quality supply, measurable acquisition, and core operations across a 12-month validation window covering people, compute, content, and channels.
-
01
Users return: completion, weekly retention, and cross-page consumption segmented by source
-
02
Supply remains continuous: separate automated generation from AI-assisted co-creation and observe real post-publish use
-
03
Revenue covers variable costs: model cash collected, renewals, inference, and distribution costs