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title: "Life Level-up Guide | Lifelong Learning in the AI Era" description: Learning continuously in the AI era, Life Level-up Guide helps ordinary people complete real projects, move through difficult seasons, and preserve evidence of growth. updated: 2026-10-20

Life Level-up Guide

中文 | English

By Han Xiankai, pen name “Li Pu”

A lifelong-learning guide for the AI era. This living open manuscript begins with English and continues into AI learning, real projects, business experiments, recovery, and the work of returning your life to yourself one small act at a time.

This is not a book that turns life into a polished plan. Think of it as a workshop you can return to: bring a real problem, find your starting point, complete one small action, preserve evidence you can review, and choose what comes next. AI can help you find answers. Judgment, boundaries, and responsibility remain yours.

You do not have to prove that you are clever or disciplined enough to deserve help, and you do not have to finish the book in one sitting. Read a few pages, do one thing, and let the result change your route. There is no shortcut that guarantees success here, only a record tested through action, failure, recovery, and beginning again.

What you get: a bilingual open manuscript, downloadable EPUB/PDF editions, reusable worksheets, and a practice path that starts in five minutes, retests one change after fourteen days, and reviews the system after ninety days.

If this guide helps you complete one real action, please star the repository so more learners can find it. For an error, translation gap, or reproducible practice result, use the issue templates.

Choose Your Entry Point

This guide is for people who want to improve their English, learn with AI, finish real work, or rebuild a workable rhythm of life. Start with the problem in front of you. You do not need to read from page one or open every subject at once.

Your current situation	Start here	One result to preserve
You do not know which page to open	Reader's Guide	A problem-based reading route
You want a real baseline for English skills	English Diagnostic	A first sample on one topic and one barrier
You want AI in your work without outsourcing judgment	AI Learning · AI Evaluation	A reviewable experiment and acceptance criteria
You want to finish a project or test a business idea	From Problems to First Customers · Startup Experiment	A real output, user feedback, or a failure record
You are rebuilding a daily rhythm	Life Practice Toolkit	A boundary you can care for today and the smallest next task
You need an offline copy or a citation	Download Center · Citation	An EPUB/PDF file or a standard citation

Every subject follows one working line: define the problem → preserve a baseline → complete the smallest task → record evidence → retest later → decide what transfers. AI can help break work down, ask questions, compare options, and give feedback. People still confirm the goal, sources, privacy, acceptance, and final responsibility.

AI makes answers cheaper by the day. In seconds, we can get an explanation, code, a plan, even confident-sounding advice about life. What remains scarce is knowing which questions deserve pursuit, which evidence deserves trust, how to turn suggestions into real work, and how to take responsibility for the final judgment.

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 manuscript has widened into AI learning, project development, resource-layer business, life review, and recovery. The question underneath it is still the same: 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 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.

Business, Discipline, and AI in Practice

Use the Practice Map to choose a current problem and turn reading into a small experiment with inspectable results. These handbooks complement the six-part book and are included in its digital appendices.

Current task	Practical handbook	Copyable tool
A business idea without customer evidence	From Problems to First Customers · A Sustainable Small Business	Startup Experiment
Trouble starting or returning after a break	Discipline and Consistency	Consistency Plan
AI generates output but delivery is unreliable	AI Workflows · AI Evaluation and Reliability	AI Evaluation Record

Book Structure

For a complete read, begin with the Reader's Guide: Put the Book Back into Life, then continue to the Prologue: Do Not Rush to Change Your Life. The guide helps you choose an entry, preserve evidence, and return after interruption; the prologue places these methods in one person's story. The book is a loop we revisit, not a straight climb.

Use the Glossary of Terms and Methods to follow “definition → evidence → next step” back to the main path. If you are unsure which worksheet fits, start with the Toolkit Overview.

Part	Core question	Entry point
Reader's Guide and Prologue	Where do I enter, and why begin again?	Reader's Guide · Do Not Rush to Change Your Life
Part I: Open Input	How do I build a bridge between English and the world, then carry ability into interviews and remote collaboration?	Part Introduction · CEFR Self-check · Vocabulary · Grammar · Listening · Reading · Speaking · Writing · Job-search English
Part II: Return to Life	How do ability, work, relationships, failure, choices, and recovery affect one another?	Part Introduction · My Story · Depression, Anxiety, and Recovery · Narrative and Evidence · Recovery and Decisions · Communication · Relationships · Care and Shared Responsibility · Entrepreneurship
Part III: Amplify Ability	How can I use AI without outsourcing judgment or attention?	Part Introduction · AI Learning · Attention, Artifacts, and Evidence · Project Practice
Part IV: Practice and Recovery	How does learning return to the body, family, and daily life while protecting a young learner's agency?	Part Introduction · First Week Practice · Family Learning · Daily System · Rhythm
Part V: Long-Term Action	How can ninety days, a real project, and the period afterward keep a method accountable?	Part Introduction · 90-Day Action Plan · Book Case Study · After Ninety Days
Part VI: Be Your Own Lifelong Friend	How can I understand, recognise, care for, and improve myself through change?	Understanding Yourself · Knowing Yourself · Being Kind to Yourself · Improving Yourself · Being Your Own Lifelong Friend
Afterword	Who do I want to become after leveling up?	The Greatest Progress Is Finding Your True Self

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:

1. Choose a real problem: a blocked step at work, a concept you need to understand, a person you want to help, or a small unfinished project.
2. 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.
3. Ask AI to help shape a 25–45 minute task, then check the sources, make the choices, and finish the output yourself.
4. Preserve notes, code, a recording, an email, or feedback rather than saving only the conversation.
5. 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 whole 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

When tools change too quickly to follow, start with AI Trends and a Learning Roadmap. Use an AI Trend Experiment to test one new capability: check primary sources, keep a manual baseline, measure full costs, and decide whether to continue.

Learning Anything with AI begins with “What problem am I trying to solve?” Attention addresses input boundaries and independent judgment, Artifacts moves understanding toward a deliverable, and Evidence checks immediate performance, delayed retention, and transfer. AI can ask, explain, compare, and generate practice; people still set the goal, choose sources, detect fabrication, and use what they learned after the conversation closes.

When learning enters a project, AI Learning, Project Development, and Resource-layer Entrepreneurship extends the work into requirements, prototypes, code, tests, documentation, and delivery. Speed is not the only measure. Important decisions should be explainable, testable, or reversible, and convenience must not erase boundaries around customer data, company secrets, or third-party privacy.

Through China Token Cloud and token.love, this path also examines model access, routing, metering, permissions, deployment, operations, and enterprise support. It asks why a customer might pay, how work should be accepted, and whether costs can be covered. It does not claim proven profit or promise that everyone can make money with AI.

A software failure in 2022 showed me that missing datasets, old architecture, and preset results can hide behind UI and an “AI” story for a while, but cannot survive real users, costs, and incidents. That is why the method insists on baselines, evidence, rollback, cost, and responsibility. Products change; source verification, data safety, acceptance, 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 paths emerge after you complete a few small projects, see several kinds of work, and carry the consequences of a few decisions. Keeping the ability to learn and turn is more reliable than choosing a perfect track.

If career anxiety keeps you collecting courses, certificates, and success stories, trade some of that collection for a project you can finish in two weeks. Solve a nearby problem, make a tool that runs, write a sourced article, or improve part of a real user's process. The project may fail, but it will show 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. Visible work, code, writing, customer feedback, review notes, and relationships with people who choose to work with you again can compound over time.

For Anyone in a Difficult Season

Unemployment, business failure, the end of a relationship, damaged health, and prolonged uncertainty can reduce a person's capacity to act. A low point is not an examination you must immediately win. Reduce life to a scale you can care for: sleep, eat, step outside, answer one important email, or tell someone trustworthy, “I need help right now.”

Pausing is not surrender. Asking for help is not weakness. If five minutes is what you can do today, preserve five minutes of evidence and add weight when strength returns. These personal stories are not medical care or psychotherapy. If low mood, sleeplessness, hopelessness, or thoughts of harm persist, contact someone you trust and seek 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 more AI tools, and work across cultures with less mediation.

Use CEFR Goals and Self-check to establish a baseline, then enter Learning Principles, Vocabulary, Grammar, Listening, Reading, Speaking, Writing, or Learning English with AI as the task requires. You can also begin with the English Diagnostic, Vocabulary Evidence Card, Listening Evidence Card, Reading Evidence Card, Speaking Evidence Card, or Writing Evidence 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. When the four skills differ, do not average them into a verdict: preserve a first sample in each, choose one barrier, run a parallel task after seven days, and retest one real delivery after thirty days.

Life Review and Recovery

The Communication chapter brings observation, feeling, need, and request into family, intimate, and work settings, connecting them to boundaries, repair, and leaving.

My Story, Narrative and Evidence, Echoes, Recovery, Decision-Making, Relationships, Care, Entrepreneurship, and the Archive preserve failure, disrupted health, changing relationships, departure, and return. Looking back separates fact, harm, responsibility, and luck so we can 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 and does not expose unnecessary third-party identity. Stories and photographs involving others are retained 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.

You can also follow me on X for updates on AI practice, English learning, and personal growth.

Continue on Douyin

Follow Han Xiankai of China Token Cloud (Douyin ID: 72581209403) for short updates on English practice, AI collaboration, real projects, and life-level-up work. The QR code is only a public account-following entry point; the site has no ads, analytics, or trackers and does not collect visit data through a follow. If scanning is unavailable, search Douyin for “Han Xiankai” or 72581209403.

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, the 中文贡献指南, and the Code of Conduct before contributing.
• Check dates for product and service entries are recorded per page and in Attributions; capability, availability, and compliance scope still require official pages, formal terms, and real acceptance. Outdated notes are welcome as issues.

Read Online

• GitHub Pages
• GitHub repository
• Historical writing has been preserved in Entrepreneurship and My Story; unstable external archive links are not used as current entry points.

If you do one thing today, create a Learning State, write down the real problem, current evidence, and smallest next task, then complete it. You do not have to see the whole road before you begin; some roads appear only after your foot lands.