'Lingering Language Method' is a about revisiting a language lesson or a language concept; and not trying to learn a lot of a language all at once; instead lingering on a lesson until you really do know it well. It is not deadline-focused. YOu would not commit to learning 1000 words in a year; instead, you will know 1000 words at the time that it naturally takes you to do it - lingering on a specific point about vocabulary or grammar for as long as it takes to know it.
When you consider how people quit a discipline because they feel like they are not progressing fast enough, psychologically, this approach is very nice. There is no rush. There are, though, frequent attempts to learn something or to revisit something. It's a bit like doing home cleaning chores a little at a time so that you at least clean a lot of your home - that's better than being overwhelmed by the task and doing nothing.
A really crucial part of this approach is to use learning methods that are known to work rather than use learning methods which feel easy - although hopefully there is often overlap: easy tasks that are good learning exercises. So, even though, I like watching foreign subtitles on tv while nglish audio is playing, there is a limit to how quickly I can learn vocabulary in that way. It is easy for me to sit there and watch tv but I believe that it is better to have a list of vocabulary (maybe 20 words) and to frequently test that I know those words. It's not as easy as watching tv but it revisits vocabulary frequently enough that it is not forgotten easily. I can still watch tv with subtitle on but it should not be my main learning method.
I really like the idea of generating a paragraph of text about a topic. It should contain vocabulary special to the topic; but I can also make sure that it includes grammar practice; and that it includes the kinds of words that are not nouns but are essential for communicating properly. E.g. A word like "rare"; I don't need it in many sentences but when I need it, I really need it or else I need to figure out a phrase such as "not often" to communicate the idea.
Since AI is so good at generating paragraphs, I can give it a list of grammar points and tell it to use about 10 of them in the paragraph that is about the topic that I choose. I can also have a word list of the closed class of words such as "rare"; and I can tell the prompt to make sure that a good sample of those words are in the paragraph as well.
So the resulting paragraph is language practice but it is not overwhelming: it is just a paragraph to study.
If Polish is the language which I want to study then I generate an itemised list of grammar points for that language (it might have grammar points special to Polish or might not have gender fror nouns: grammar is special to a language). That itemised list is one of the inputs to my AI prompt.
The prompt is also told to write the same paragraph in English; and it is told to list a dictionary of the vocabulary that realtes to the topic of interest. By studying the English paragraph and comparing it with the Polish paragraph, I can eventually read the Polish OK.
However, what if I am making a sentence and I want to say "Rainbow"? Maybe I am skilled at reading the Polish word for 'rainbow' and recalling that it means 'rainbow' but maybe I am no good at just summoning into my mind the Polish word for 'rainbow'. So I need a tool such as flash cards to flash up to me 'rainbow' so that I can test if I can remember the Polish word for it.
Another error would be for me to start reading a paragraph that I know is about 'weather' and then for me to see the word for 'rainbow' and to know that it is the Polish word for 'rainbow'; that is because I know the topic and it gives me an extra clue about what words will mean. If the paragraph had no title and I saw the word for 'rainbow' then maybe I would be stuck and not have any idea that it means 'rainbow'. Flash cards can be weak like that too if I know that the vocabulary in the set is all about 'weather'. So it makes sense to sometimes have flash cards which are not all about a common topic.
So far, we have looked at the idea of a paragraph being generated and separately having flash cards to test me on the vocabulary; and, more widely, to have flash cards to test me on the vocabulary 'out of context'.
Part of expressing oneself is to know how to ask a question; and unless the conversation is via email, you need your ears to be able to understand the answer that is said back to you. So another AI prompt can be to turn a topic into a dialogue between two people; and for there to be plenty of questions in that dialogue. A practice exercise for you would be a list of tasks such as "Ask Anne which colours are in the rainbow". If you can ask that question then you can more generally ask other "Which..." questions. This quiz could be expressed as flash cards where the English displays and then the Polish version of the same question displays as 'side B' of the flash card.
Listening to a reply can be done in more than one way. With an AI subscription, an AI can talk to you: it can read out the Polish paragraph or even have a chat with you about the subject. You can also request the audio to be stated slowly if normal speed is too difficult. Or you could use a language software to turn the Polish into audio; and then you could save that audio file for future revision sessions. I see the benefit of slow speaking in order to develop an ear for the language but I also see the benefit of eventually practising at normal audio speed: real life is at normal speed or faster.
Many languages have different verb endings depending on who is doing the action. Many languages change a noun ending if it is plural. You can promp an AI to generate a paragraph (or the same paragraph as before) and to have drop-down choices at some words so that you have to choose the correct ending. There can be two wrong answers and one right answer (which colours green when selected). I like this approach because I think that learning all the verb endings all at once is really hard; whereas this approach gradually develops an awareness of which ending fits a situation.
I have tried out other learning exercises - the ones above are just ones that I think are a good use of time. For instance, I generated a short adventure story with AI and then I animated it with AI as well. I thought that it would be engaging while I listen to the story-teller tell the story: the video would keep me interested. I also thought that I could use AI to summarise the story and then re-use snippets of the video. In that way, I would experience much of the vocabulary but in a new way; and it would re-enforce my learning.
Remember that this is a lingering language method. So far, I have listed nice study exercises but I have not said how frequently you should study that exercise. In my experience of studying, I am motivated to 'keep moving' through a course; sadly, I like the feeling that I am progressing - even if I don't really have a good memory of the previous lessons. I suppose that the school system works like this too: there is a sequence of lessons to be done within a school term and a target amount of lessons to have been covered by the end of the school year; the intention is to 'keep moving'. My challenge to that approach is that I think that it is better to go slow and learn with quality - even if you don't cover anywhere near so many lessons by the end of the year. If an English person learns French at school and finishes by knowing a lot of vocabulary and verb tenses then is that a 'win' if his ear can not understand anything a real French person says to him? Wouldn't it be better for him to learn to hear the language? And to learn how to ask questions through a lot of repetitive 'question asking' exercises? Then, in his own time, beyond school, he can study extra topic areas and build on that strong foundation. I think that it is good to linger and to really learn a foundation.
So, let's say that there is a collection of exercises about the topic of 'weather' and oabout one main Polish paragraph which is about weather. I recommend returning to it a lot and not progressing too far forward into other topics. I also recommend telling the AI to creat another set of learning about 'weather' but to make a fresh paragraph. In this way, the vocabulary is revisited but in a new situation; and your mind is challenged to make sense of it based on what is in front of you rather than based on a memory of what a well-studied much-revisited sentence means. The dropdown verb endings exercise would be a fresh one. The question-asking dialogue would be fresh as well; plus new audio to train your ear on. Plus flash cards.
Over time, you will have a big collection of single paragraphs to study; and they are accompanied by other exercises. They randomly include the special grammar words such as "rare" so that you are not just earning a topic but you are also being exposed to the special words that glue communication together: a closed class of frequently required words.
Then, you might reach a point where you can generate a fresh paragraph about 'weather' and, rather than study the text paragraph, you might start by listening to the audio; maybe you will only understand a little bit of it; and then you can study the text itself and practise listening to the audio after that. Gradually, your ear is being challenged a little bit more. You know that the topic is 'weather' and so you could prep yourself and anticipate what the fresh audio is going to contain; but it will stillbe a fresh paragraph and still challenge your ear.
There is more to think about; I have not covered writing exercises (except for the exercise where someone has to ask a requested question). Self-expression is great for finding gaps in your ability to communicate. A student could write something in Polish and then ask AI to translate it back to the native language of English; and then have errors pointed out.
In conclusion, 'Lingering Language Method' is not much different from a regular language course - it just values quality of learning over volume of learning.
Intro to AI prompts for the Lingering Language Method (1) although the prompt can be improved by adding vocabulary like "rare" from a set of high frequency grammar words.
Intro to AI prompts for the Lingering Language Method (2)
I also made a tool for displaying the text of audio.
Relating to the audio tool are the following files:
Slow timer maker. It expects Audio Slow.wav .
Faster timer maker. It expects Audio Fast.wav .
Final webpage that plays audio and highlights the text. It plays Audio Slow.wav and Audio Fast.wav . I would save it to a folder along with the other learning materials relating to the topic of the paragraph. I would make sure that it contains the JSON collected from the first two web pages.
Here is a prompt which could be used to make some of these resources but it expects the chat to also have "Itemised Grammar Points.html" which is created with a series of prompts such as:
For the Polish language, write me an itemised list of grammar principles which one needs to know in order to speak and write that language.
Can you make a tabular list of the following? One column for the enumeration; another column for the grammar principle (enumeration should begin at "1").
Could you be more granular with your list? And add a column so that I know which broad category a principle sits in.
The main prompt:
When I type in a topic, I want you to generate a short paragraph that demonstrates 7 of the grammar principles of document "Itemised Grammar Points.html". The paragraph must be about the topic that I type in. It needs to be a story of a maximum of 150 words. The language must be Polish; but write beneath it the same paragraph in English. Try to include at least 15 words relating to the topic so that I can have vocabulary practice as well. Include a number or year in the text. Try to make the story credible.
List the topic-relevant vocabulary that you selected: in Polish and in English. Below the vocabulary list, I want you to list the Polish words in double quotes with comma separation. Beneath that, I want you to list the English translation of those Polish words in double quotes with comma separation.
Also list which grammar principles you chose to demonstrate. I want at least two tenses to be in the text and also at least one sentence to use the subjunctive.
If I type in "Dropdown" then I want you to turn the first short paragraph Polish text of Output 1 into html that has dropdown choices in it: Create a javascript web page where the following text has dropdown boxes for choosing a choice of 3 options for around 6 words (where one dropdown choice would be grammatically correct and the other 2 dropdown choices would be wrong). When a selection is correct, it highlights with green background but if it is wrong then the background is a light purple.
If I type in "Dialogue" followed by a topic then I want you to do an additional step: It must be a Polish dialogue between John and Anne about the same topic; and John is asking questions and Anne is answering them. Anne asks questions to John too. In total, there should be at least 6 questions asked and answered. Below that should be the same dialogue but in English. Below that should be the vocabulary list in Polish (bold font) and beside it the English (non-bold font). Below the vocabulary I want you to list the Polish vocabulary in double quotes with comma separation. If the text itself has double quotes then replace it with single quotes. Beneath that, I want you to list the English translation of each item of the vocabulary in double quotes with comma separation. If the text itself has double quotes then replace it with single quotes.
Beneath that, I want you to list the questions in English in double quotes with comma separation. If the text itself has double quotes then replace it with single quotes. Below that, I want you to list the Polish questions in double quotes with comma separation. If the text itself has double quotes then replace it with single quotes. List the topic-relevant vocabulary that you selected: in Polish and in English.
If I type HTML then present your last output in html format for me to paste into a HTML stub page.
I then need a text-to-speech tool to make audio files of the text paragraph and of the dialogue. It would be nice to contain the audio file in a web page so that the text can be seen at the same time as a button plays the audio. It would be good if the audio has a slow version and a normal speed version.
Check the text produced because, for instance, the vocabulary list might miss out words that strongly relate to the topic.
You can add to the prompt. E.g. "Include the word 'rare' in the text". There are some non-noun grammar words which do not occur much but which you suddenly want to use and need to know. "Rare" is a good example. You could make a prompt to produce a list of such words; and even tell the prompt to randomly include 5 such words in the text which is created.
So you could upload a word list document to the chat; and then refer to it in the prompt. E.g. this list:
| Item | Word |
| 1 | rare |
| 2 | common |
| 3 | likely |
| 4 | unlikely |
| 5 | possible |
| 6 | impossible |
| 7 | certain |
| 8 | uncertain |
| 9 | available |
| 10 | unavailable |
| 11 | necessary |
| 12 | unnecessary |
| 13 | important |
| 14 | significant |
| 15 | minor |
| 16 | major |
| 17 | simple |
| 18 | complex |
| 19 | clear |
| 20 | unclear |
| 21 | direct |
| 22 | indirect |
| 23 | specific |
| 24 | general |
| 25 | similar |
| 26 | different |
| 27 | equal |
| 28 | unique |
| 29 | relevant |
| 30 | irrelevant |
| 31 | useful |
| 32 | useless |
| 33 | effective |
| 34 | ineffective |
| 35 | efficient |
| 36 | inefficient |
| 37 | accurate |
| 38 | inaccurate |
| 39 | correct |
| 40 | incorrect |
| 41 | true |
| 42 | false |
| 43 | valid |
| 44 | invalid |
| 45 | recent |
| 46 | current |
| 47 | previous |
| 48 | future |
| 49 | early |
| 50 | late |
| 51 | already |
| 52 | still |
| 53 | yet |
| 54 | almost |
| 55 | nearly |
| 56 | quite |
| 57 | rather |
| 58 | very |
| 59 | too |
| 60 | enough |
| 61 | especially |
| 62 | particularly |
| 63 | mainly |
| 64 | mostly |
| 65 | generally |
| 66 | usually |
| 67 | often |
| 68 | sometimes |
| 69 | rarely |
| 70 | never |
| 71 | always |
| 72 | however |
| 73 | therefore |
| 74 | moreover |
| 75 | furthermore |
| 76 | nevertheless |
| 77 | although |
| 78 | because |
| 79 | unless |
| 80 | whereas |
| 81 | despite |
| 82 | within |
| 83 | beyond |
| 84 | among |
| 85 | between |
| 86 | throughout |
| 87 | toward |
| 88 | against |
| 89 | beneath |
| 90 | above |
| 91 | below |
| 92 | regarding |
| 93 | concerning |
| 94 | whether |
| 95 | if |
| 96 | can |
| 97 | should |
| 98 | must |
| 99 | may |
| 100 | aware |
| 101 | capable |
| 102 | unable |
| 103 | willing |
| 104 | unwilling |
| 105 | responsible |
| 106 | appropriate |
| 107 | inappropriate |
| 108 | familiar |
| 109 | unfamiliar |
| 110 | ordinary |
| 111 | unusual |
| 112 | temporary |
| 113 | permanent |
| 114 | practical |
| 115 | theoretical |
| 116 | obvious |
| 117 | subtle |
| 118 | flexible |
| 119 | strict |
| 120 | actually |
| 121 | apparently |
| 122 | certainly |
| 123 | definitely |
| 124 | probably |
| 125 | possibly |
| 126 | fortunately |
| 127 | unfortunately |
| 128 | gradually |
| 129 | suddenly |
| 130 | eventually |
| 131 | immediately |
| 132 | currently |
| 133 | previously |
| 134 | meanwhile |
| 135 | otherwise |
| 136 | roughly |
| 137 | exactly |
| 138 | though |
| 139 | while |
| 140 | since |
| 141 | thus |
| 142 | hence |
| 143 | instead |
| 144 | besides |
| 145 | accordingly |
| 146 | indeed |
| 147 | consequently |
| 148 | alternatively |
| 149 | namely |
| 150 | via |
| 151 | across |
| 152 | along |
| 153 | beside |
| 154 | underneath |
| 155 | past |
| 156 | onto |
| 157 | upon |
| 158 | according |
| 159 | except |
| 160 | unlike |
| 161 | several |
| 162 | numerous |
| 163 | various |
| 164 | either |
| 165 | neither |
| 166 | each |
| 167 | every |
| 168 | both |
| 169 | some |
| 170 | any |
| 171 | few |
| 172 | many |
| 173 | much |
| 174 | another |
| 175 | could |
| 176 | would |
| 177 | might |
| 178 | ought |
| 179 | shall |
| 180 | need |
| 181 | dare |
| 182 | even |
| 183 | just |
| 184 | only |
| 185 | merely |
| 186 | simply |
| 187 | also |
| 188 | as |
| 189 | notwithstanding |
| 190 | allegedly |
| 191 | presumably |
| 192 | arguably |
| 193 | virtually |
| 194 | relatively |
| 195 | scarcely |
| 196 | barely |
| 197 | likewise |
| 198 | otherwise |
| 199 | pending |
| 200 | regardless |
Note that, in order for a web page to display a foreign language, you might need to set the language and encoding of the web page. For example, with Polish:
<!DOCTYPE html>
<html lang="pl">
<html>
<head>
<meta charset="UTF-8">
If you need help turning years and numbers into words then make a web page tool by using a prompt such as: make javascript html page whare I can type in a number and it is then displayed as Polish text. It needs to be a complete standalone page with valid HTML5 structure.
I also like the idea of consolidating 2 or 3 recently studied topics (I have a list of about 180 topics that I can create materials from - it is in the References folder of the zip file). I could ask generative AI to make a short adventure story involving 3 recent topics' vocabulary; and I could additionally ask the characters to be a small number of the cartoon people from the 1000 Women system; they could appear on screen while the story is presented; and that would encourageme to revisit those mnemonics assets.
The Topics Mistake
Creating several materials relating to just one topic is a good idea. And the approach above shows that we have the freedom to create our own study materials for a single topic.
One of the first topics which I tried to create learning materials for was to do with names and identity. I had anticipated that AI would create a kind of "What is your name? Where do you live?" dialogue; but it wrote material about ancestry and heraldry. That vocabulary would be great to know but there is a word frequency priority when learning a language. The topic of 'Heraldry' would be a finishing touch rather than an early study material.
Typically, language courses have beginner grades up to advanced grades where the expectation of someone's vocabulary range is based on vocabulary that commonly occurs in real life; and that is what I was hoping to build with my AI prompts. AI prompts give an opportunity to create fresh materials which force revison of vocabulary. So, for example, a post office visit could be a learning material but then someone could generate a new material where someone wants to write a letter to a friend; and then the vocabulary of stationery can be revisited in a fresh situation. I want to linger on vocabulary or linger on vocabulary principles and I don't want to assume that a single visit to a topic is sufficient learning nor that it is stimulating enough to revisit often.
Repetition of material is how language skills build up but, for many people, revisiting what has already been studied is mentally painful. Some people are wired differently and they experience great pleasure from knowing a topic inside and out despite the revisits to the material which that requires. But why cater for that minority?
And there is a feeling, seconds after studying a topic once, that it is understood and memorised. It is a false belief but a very strong belief. There should be a learning method which forces someone back to the material so that they realise that they never memorised it as a lasting memory.
AI and Actual Conversation
I think that it is great that AI can be a language teacher. However, in 2026, I was asking AI to pronounce some Polish for me and it soon forgot that 'W' is not pronounced like an English 'W': AI can be a terrible teacher. But I do think that it creates texts very well.
There is potential to have a chat conversation either as text or as a spoken conversation with AI. And you can step outside of the topics list idea. You can think of a movie that you enjoyed and ask the AI questions about the film in order to practise creating questions.
Just be prepared for it to not understand things 100%. If you ask it to explain something that it can't see a popular answer to somewhere on the internet, it will make up a bad answer (in 2026).