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Life Level-up Guide
| 中文 | English |
By Han Xiankai, pen name “Li Pu”
Subtitle: Lifelong Learning Guide for the AI Era. This living manuscript begins with English and continues into AI learning, real projects, entrepreneurship, recovery, and the work of returning your life to yourself one small act at a time.
AI is making answers cheaper than they have ever been. In seconds, we can receive an explanation, a block of code, a plan, even a confident-sounding piece of life advice. What remains scarce is more demanding: knowing which questions deserve pursuit, deciding which evidence deserves trust, turning suggestions into real work, and taking responsibility for the final judgment.
This is a lifelong-learning guide for ordinary people. It does not require you to begin as a genius, an expert, or a person with perfect discipline. It does not promise that a tool will change your fate. It offers a way to keep learning while the world accelerates: meet an unfamiliar problem, work with AI without surrendering judgment, finish something real, and carry the lesson into the next part of life.
The project began in 2017 as Li Pu’s English Learning Guide. English was once the whole map; now it is one foundational road within it. The guide has widened into AI learning, project development, resource-layer entrepreneurship, life review, and recovery. This does not discard the past. It reveals the deeper question behind every kind of training: when the world keeps changing, can I continue to learn, create, and participate in my own life?
My name is Han Xiankai, also known online as Li Pu, and I serve as chairman of China Token Cloud Computing Co., Ltd. I test these methods in learning, software development, enterprise services, and ordinary life. My role and commercial relationships belong in public view. Claims about ability, products, and revenue must be earned by work, users, costs, and time.
The guide returns to one loop:
find a problem → learn actively → work with AI → complete a real task → preserve evidence → review and transfer
It also keeps three kinds of claim separate:
- Research findings include sources and state the reach of the evidence;
- Personal experience keeps its warmth without pretending to be a universal prescription;
- Hypotheses may enter the conversation, but the next experiment must test them.
Book Structure
For a complete read, begin with the Prologue: Do Not Rush to Change Your Life. The book is not a straight climb. It is a loop we revisit:
When a term is unclear or you do not know which page to open next, use the Glossary of Terms and Methods and follow “definition → evidence → next step” back to the main path.
| Part | Core question | Entry point |
|---|---|---|
| Prologue | Why begin again? | Do Not Rush to Change Your Life |
| Part I: Open Input | How do I build a bridge between English and the world? | CEFR Self-check · Learning Principles · Vocabulary, Listening, Reading, Speaking, Writing |
| Part II: Return to Life | How do ability, work, relationships, failure, choices, and recovery affect one another? | My Story · Decision-Making · Relationships · Recovery · Entrepreneurship |
| Part III: Amplify Ability | How can I use AI without outsourcing judgment or attention? | Learning Anything with AI · AI Projects and Resource-layer Business · Attention · Artifacts |
| Part IV: Practice and Recovery | How does learning return to the body and daily life? | Week 1 · Daily System |
| Part V: Long-Term Action | How can I make change verifiable in 90 days? | 90-Day Action Plan |
| Afterword | Who do I want to become after leveling up? | Progress Is Not Leaving Yourself Behind |
Begin with One Small Act Today
Lifelong learning is not opening ten courses at once. It is completing one act today that leaves a trace:
- Choose a real problem: a blocked step at work, a concept you need to understand, a person you want to help, or a small project left unfinished.
- Record your baseline in Learning State: what you know, what you cannot yet do, and what would count as complete. For decisions, attention, relationships, or recovery, use the Life Practice Toolkit; for a full cycle, copy the 90-Day Cycle Map.
- Ask AI to help shape a 25–45 minute task, then check the sources, make the choices, and finish the output yourself.
- Preserve a page of notes, a piece of code, a recording, an email, or feedback rather than saving only the conversation.
- A week later, use the Weekly Review to examine completion, quality, retention, and transfer before choosing the next step.
You do not have to see the entire road. The first piece of evidence you preserve today becomes somewhere the next step can stand.
AI Learning and Project Practice: From Answers to Delivery
Learning Anything with AI does not begin with “Which model is best?” It begins with “What problem am I trying to solve?” Attention adds the missing question of input boundaries, focus, and independent judgment, while Artifacts moves understanding toward a deliverable. AI can ask guided questions, explain concepts, compare options, organise material, and generate practice. A person must still set the goal, select trustworthy sources, detect fabrication, and use the knowledge independently after the conversation closes.
When learning enters a project, AI Learning, Project Development, and Resource-layer Entrepreneurship extends the collaboration into requirements, prototypes, code, tests, documentation, and delivery. Speed is not the only measure. Every important decision should be explainable, testable, or reversible, and convenience must never erase the boundaries around customer data, company secrets, or third-party privacy.
Through China Token Cloud and token.love, this path continues into model access, routing, metering, permissions, deployment, operations, and enterprise support. The project can examine why a customer might pay, how work should be accepted, and whether costs can be covered. It does not turn a direction into a claim of proven profit or promise that everyone can make money with AI.
This method was not designed in a vacuum. The software failure in 2022 showed me that missing datasets, an old architecture, and preset results can hide behind UI and an “AI” story for a while, but cannot survive real users, costs, and incidents. Failure is not decorative background here. It is why the method insists on baselines, evidence, rollback, cost, and responsibility. After returning to AI and physical-industry practice in 2026, I still treat each direction as work under test, not as a result already delivered.
Products change. A sound method should travel. However capable the model becomes, source verification, data safety, acceptance standards, and final responsibility cannot be outsourced.
For Those Still Looking for Direction
For Younger Readers
You do not have to identify one permanently correct direction in your twenties. Many directions do not appear through thought alone. They emerge after you have completed a few small projects, seen several kinds of work, and carried the consequences of a few decisions. The durable advantage is not choosing a perfect track. It is retaining the ability to learn and turn.
If career anxiety keeps you collecting courses, certificates, and stories of success, trade some of that collection for a project you can finish in two weeks. Solve a problem for someone nearby, make a tool that runs, write a sourced article, or improve one part of a real user’s process. The project may fail, but it will tell you what you enjoy, what you lack, whether you can deliver, and whether another person finds the result useful.
AI can lower the cost of exploration, learning, and creation. It cannot build your reputation for you. The assets that compound are visible work, code, writing, customer feedback, review notes, and relationships with people who choose to work with you again because you were honest and reliable.
Do not use another person’s highlight to put your own beginning on trial. Ask a more useful question: did I finish one more real thing this week than I did last week? If the answer is yes, however small the thing was, you are already building your road.
For Anyone in a Difficult Season
Unemployment, business failure, the end of a relationship, damaged health, and prolonged uncertainty can genuinely reduce a person’s capacity to act. A low point is not an examination you must immediately win. You do not have to prove, at your most exhausted, that you can still perform a dramatic reversal.
Reduce life to a scale you can care for. Sleep one reasonably complete night. Eat a meal. Step outside. Answer one important email. Organise one page of notes. Finish one test. Tell a trustworthy person, “I need help right now.” These acts do not look legendary, but they slowly restore your connection with the world.
Pausing is not surrender. Asking for help is not weakness. Recalibration is not regression. Recovery is often slow: first give a day some boundaries, then allow a week to find rhythm, and only then plan farther ahead. If five minutes is what you can do today, preserve five minutes of evidence. Add weight when strength returns.
The personal stories here are not medical care or psychotherapy. If low mood, sleeplessness, hopelessness, or thoughts of harm persist, contact someone you trust and seek appropriately qualified local medical or mental-health support. Safety comes before growth.
Foundation: English Remains an Important Door
English is no longer the whole guide, but it remains a foundation for lifelong learning. It helps you read global knowledge and technical documentation, follow international courses and research, use a wider range of AI tools, and work across cultures with less mediation.
Use CEFR Goals and Self-check to establish a real baseline, then enter Learning Principles, Vocabulary, Listening, Reading, Speaking, Writing, or Learning English with AI as the task requires. You can also begin directly with the English Diagnostic, Vocabulary Audit, Listening Resource Audit, Reading Evidence Card, Speaking Evidence Card, Writing Evidence Card, or Artifact Brief and Delivery Card.
English ability is not proved by a collection of words. It is proved by what you can understand, express, and complete in a real situation. English is a bridge, not a wall against which to measure your worth.
Life Review and Recovery: Experience Also Needs Reinterpretation
My Story, Decision-Making, Relationships, Recovery, Entrepreneurship, and the Archive preserve failure, disrupted health, changing relationships, departure, and return. Looking back is not an attempt to decorate the past as inspiration. It is a way to ask which decisions worked, which costs must not be hidden, and how to live more honestly next time.
Personal experience is not medical, legal, investment, or business advice. Public content follows data minimisation. It does not expose unnecessary third-party identity, and it retains photographs or stories involving others only with clear permission and respect for privacy.
Life Is Still Moving
A method reveals its strength only after it enters a life. Relationships end and may begin again. Work changes. Learning acquires new meaning when it returns to real people and real problems.
Author Projects and Disclosure
Products, company visits, and real-world projects involving Han Xiankai live on Author Projects and Practice. That page states the relationship, purpose, update date, and non-sponsorship status. Commercial relationships do not change the guide’s recommendation standard; by default, the site uses no ads, analytics, or trackers.
Project Boundaries
- This is an open-content project, not open-source software in the OSI sense. Text and author-created content use CC BY-NC 4.0; site configuration, checks, and build code use MIT. See Licensing.
- Sources and licensing status for quotations, images, and third-party material are recorded in Attributions.
- Read Contributing and the Code of Conduct before contributing.
- Product information on these pages was checked on 2026-08-31; capability, availability, and compliance scope still require official pages, formal terms, and real acceptance. Outdated notes are welcome as issues.
Read Online
If you do only one thing today, create a Learning State, record the real problem in front of you, the evidence you have, and the smallest next task, then finish it. Do not wait for the road to become wide. Many roads appear only after your foot comes down.