This is the outlier on a list otherwise full of agents and developer tools, so it helps to be clear about what it is and is not. English Level Up Tips is a guide, not software: a long, opinionated, personally written manual for learning English, aimed mainly at Chinese speakers. It began in 2017 as advice the author wrote for a friend preparing for the TOEFL, grew into a full guide, and has kept being maintained since. Its core philosophy is that English, like any language, should be acquired fairly naturally, the way you picked up your first language, with enjoyment and immersion rather than rote drilling, loosely anchored to the CEFR proficiency levels.

The reason it resurfaces on a GitHub trending list in 2026 is its updated AI chapter, and that is the part most relevant to readers here. It is no longer about generic prompts; it argues for using a large language model as your always-available tutor and lays out a concrete workflow.

The AI-tutor chapter, in practice

The 2026 chapter is the freshest and most distinctive content. Its argument is the one Bill Gates-style framing many have made, that an LLM is a patient, native-level conversation partner available around the clock, filling the speaking-practice gap that offline classes leave. The specifics it gives are what make it useful:

  • It recommends Gemini as the primary engine for English study, and shows how to chain Gemini’s features (its Gem, Live, Guided Learning, Canvas, quiz, and flashcards modes) into a complete training loop.
  • It assigns roles to the others: ChatGPT, Claude, Perplexity, and DeepL Write each have a place in the listening, speaking, reading, and writing rotation.
  • The emphasis is on designing a feedback loop that works long term, with per-sentence correction and immersive dialogue, rather than occasional one-off translation.

That is a genuinely practical contribution: a study routine built around LLM tutors, written by someone who has clearly used them for this.

How to read it

There is nothing to install. It is documentation you read, in Simplified Chinese with an English translation, available in the repository and online. Treat it as a methodology and a reading list rather than an interactive course: it gives you the philosophy, the level framework, and the AI workflow, and you supply the daily practice. Note that the online host has had downtime, which is the subject of one of the more-discussed issues, so the in-repo Markdown is the more reliable way to read it.

The caveats to read past

Two honest notes, because the guide’s framing is warm and personal and can carry you past them:

  • It doubles as a commercial funnel. The README prominently promotes token.love and ku0.com, the latter a service for buying ChatGPT, Claude, and Gemini account credits and pooled access. That is a legitimate way to fund a free guide, but treat those recommendations as advertising rather than neutral advice, and be aware that buying pooled or resold AI accounts carries its own account-safety and terms-of-service risks separate from the learning content.
  • It is one person’s method. The guide blends the author’s subjective experience with some scientific grounding, which is its charm and its limit. The immersion-first philosophy is well supported, but treat specific recommendations as a strong starting opinion, not settled pedagogy, and adapt them to how you actually learn.

Where it fits

Reach for it if you are learning English, especially from Chinese, and you want a coherent philosophy plus a concrete LLM-tutor routine rather than scattered tips. Its strengths are the immersion-first mindset and the current, specific AI chapter. It is not a structured course, an app, or a vocabulary trainer, and it does not pretend to be; it is the map and the method, and you walk the path.

The AI chapter sits in the wider context of using language models as everyday tools, which you can follow in LLM tooling. For what else is climbing on GitHub, see the daily digest and the weekly report.

FAQ

Is this software or a course? Neither. It is a written guide to learning English, readable in the repository and online, mainly aimed at Chinese speakers.

What is the AI chapter about? Using LLMs as tutors, with Gemini as the primary engine and ChatGPT, Claude, Perplexity, and DeepL Write in supporting roles, chained into a listening, speaking, reading, and writing loop.

Why does it promote AI-account services? The README funnels to token.love and ku0.com, a paid AI-account resource. Treat those as advertising, and weigh the account-safety risks of pooled or resold accounts.

Where do I read it? In the repository’s Markdown (Chinese with an English translation) or online, though the online host has had downtime, so the repo copy is more reliable.