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Life Advancement Guide (subtitled AI Era Lifelong Learning Guide) is an openly maintained manuscript authored and continuously updated by Han Xiankai (pen name: Lipu). Originating from the 2017 publication Lipu's English Learning Guide, it has evolved into a lifelong learning methodology centered around the cycle of 'Identifying Problems → Active Learning → Collaborating with AI → Completing Real Tasks → Preserving Evidence → Reviewing and Transferring Knowledge'. The repository content is structured into five main sections supplemented by reading guides, preface, and epilogue: Opening Input (English listening/reading/speaking/writing/grammar/vocabulary, CEFR self-assessment, job-seeking English); Reintegrating into Life (life review, recovery, decision-making, relationships, entrepreneurship); Amplifying Capabilities through Tools (AI learning, attention and judgment, works and evidence, AI project development and resource-layer entrepreneurship); Practice and Recovery (first-week practice, family learning, life systems, rhythms); Action and Long-term Change (90-day actions, long-term validation). The author also provides a terminology index, toolbox overview, and various worksheet/evidence card templates (learning status, weekly review, English diagnostics, grammar/vocabulary/listening/reading/speaking/writing evidence cards), while distinguishing three types of information: research findings, personal experiences, and unverified hypotheses. The site offers Chinese/English EPUB and PDF downloads alongside publicly accessible online reading pages (GitHub Pages). The main text is licensed under CC BY-NC 4.0, while site configuration and build code use MIT; third-party material sources and attributions are documented in ATTRIBUTIONS.md. The README clearly states the author's current identity, project participation details, and declares the site is default-free of ads, analytics scripts, or trackers. Third-party recommendations (biezou.com AI API Gateway, Telegram channel OpenHuge_ai) are marked as optional external entry points, requiring users to independently verify associated risks. Overall, this is not open-source software in the OSI sense but an open-content guide for ordinary people; it emphasizes treating AI as a collaborative tool for learning and delivery while retaining human fact-checking, judgment, and responsibility.