Pratique du Shadowing: The Only AI Tools You Need (12-Minute Guide) - Apprendre l'anglais à l'oral avec la vidéo
Choisissez un mode d'entraînement
Chaque mode ouvre une salle d'entraînement en plein écran.
155 phrases
Si les phrases sont trop courtes ou trop longues, cliquez sur Edit pour les ajuster.
1
I use around 10 AI tools for 90 % of my work, and each one excels in one specific area.
2
But figuring out which tool works best for what task usually takes months of trial and error.
3
So I'll share the one thing each tool does better than alternatives, so you walk away with a clear mental model for when to use what.
4
I've grouped these tools into four categories across a two -part series.
5
There's just too much to cover.
6
This video covers everyday and specialist AI, while part two covers the remaining two categories.
7
Let's get started.
8
Kicking things off with everyday AI.
9
These are your general purpose chatbots, ChatGPT, Gemini, and Claude.
10
And while they seem interchangeable, their quote -unquote motes, the specific things they do best, have actually become quite distinct.
11
Starting with the OG, ChatGPT.
12
While Gemini and Claude are arguably just as capable in raw power, ChatGPT still holds the crown in one area.
13
It's the most obedient model.
14
In plain English, ChatGPT drops fewer balls when you hand it a complex checklist.
15
Other models might be just as smart, but give them a lengthy set of instructions and they'll sometimes skip a step or decide they know better.
16
If you want proof of this, just ask each model to optimize a rough prompt for itself.
17
ChatGPT will generate a noticeably longer and more detailed prompt because it knows it can handle the complexity.
18
And if you run that optimized ChatGPT prompt through both ChatGPT and Gemini, for example, you'll notice two things.
19
First, ChatGPT thinks longer because it's actually checking every requirement, and it follows each instruction to the letter.
20
Gemini, on the other hand, often takes shortcuts.
21
Pro tip, I share the exact prompt optimizer in the Essential Power Prompts template linked below,
22
but you can test this yourself with something as simple as, optimize this prompt for ChatGPT, insert model number here.
23
Here's my rough prompt.
24
Diving into a real world example, I gave both ChatGPT and Gemini the same complex prompt, a hiring rubric with a dozen requirements.
25
ChatGPT delivered every single one.
26
Gemini's output looked right at first glance, but when I checked it against my original list, it had quietly dropped a few rules.
27
That's the key difference.
28
ChatGPT doesn't decide which instructions matter.
29
It just follows them.
30
Here's second, simpler example.
31
Sometimes when you explicitly tell Gemini to search the web, it just doesn't, which is wild since Gemini and Google search are both Google products, right?
32
Whereas with ChatGPT, when you enable web search, it performs the web search every single time.
33
I know this is a small example, but it's downstream from ChatGPT's core superpower.
34
Obedience means you can trust the behavior you asked for.
35
So as a rule of thumb, if a task has a lot of moving parts and getting one wrong breaks the whole thing, start with ChatGPT.
36
Next up, Gemini.
37
Where ChatGPT wins on obedience, Gemini wins on multi -modality.
38
In plain English, Gemini is able to process a massive amount of mixed media, video, audio, images, and text natively.
39
Taking a look at this table, we see that only Gemini can handle all four types of media natively.
40
It's able to quote -unquote listen to audio and quote -unquote watch videos, while ChatGPT and Claude use roundabout ways to access that information.
41
What's more, Gemini's massive 1 million token context window means it can handle large video recordings, hour -long audio recordings, full slide decks,
42
all together that would literally choke other models.
43
If you watched my latest Gemini video, you'll remember the use case where I screen recorded a messy walkthrough of myself completing a task,
44
uploading that video onto Gemini, and asking Gemini to turn it into a ready -to -use SOP with perfect formatting,
45
which is an example of Gemini ingesting video and turning it into text.
46
Now, let's take that a step further.
47
Imagine you just finished a weekly meeting.
48
You have a video recording of the call, a 20 -slide deck, and a photo of a messy whiteboard session.
49
You can upload all three and ask Gemini to summarize what was discussed, pull out the key decisions, and draft the follow -up email.
50
Gemini is the only tool that can synthesize all three in one go.
51
All that said, I have to point out that Gemini's raw reasoning capabilities sometimes feels slightly behind ChatGPT.
52
But when the task involves video, audio, or massive files, the trade -off is obviously worth it.
53
Speaking of matching the right tool to the task, today's sponsor HubSpot put together a free guide called the AI Productivity Stack that covers 50
54
Tools Organized by Use Case.
55
Here's why I like it.
56
While this video focuses on my personal favorites, your workflow probably needs something different.
57
Maybe you're in marketing and need SEO -specific tools, or you manage a team and want to build automated workflows with reliable AI.
58
This guide breaks down tools across business functions like research, design, and marketing, and for each tool, it shows you the best use case,
59
key features, pricing, and a step -by -step workflow.
60
What I found most useful is the decision logic at the end of each section.
61
So for example, The research category tells you exactly when to use perplexity versus Claude versus Humana based on what you're actually trying to do.
62
It's a great way to quickly understand what each tool does well.
63
I'll leave a link to this free guide down below.
64
Thank you, HubSpot, for sponsoring this video.
65
Rounding out the Everyday AI category, Claude.
66
Claude's superpower is producing higher quality first drafts than the other models.
67
In plain English, that means Claude's first attempt is usually closer to done.
68
This superpower shows up in two areas.
69
First, coding.
70
Here's a fun fact.
71
The latest version of Gemini beat the older version of Claude in every single benchmark score except for the coding one, which is crazy.
72
So obviously, Anthropic has figured out something related to coding the others haven't.
73
And in practice, developers universally agree that Claude writes functional code on the first try more consistently than alternatives.
74
Here's a real world example.
75
I needed to bulk export conversations from a customer service platform, but their support team said only developers could do it.
76
I described the problem and Claude not only gave me step -by -step instructions,
77
but also wrote a script in Go that worked on the first try.
78
I don't even know what
79
Go is, nor can I write code.
80
Another example, I asked all three models to turn a static image into an interactive chart, and Claude performed the best on the first try.
81
So basically anything that requires generating working code tends to favor Claude.
82
Pro tip, when it comes to diagrams, you can ask Claude to generate mermaid code,
83
which you can then paste directly into tools like Excalidraw to get clean visuals in minutes.
84
Area two, polishing copy.
85
Beyond code, Claude produces written drafts that sound human and need fewer revisions.
86
When you need to tighten an argument or match a specific voice, Claude just gets it.
87
Put simply, it's exceptionally good at style matching.
88
Once you share examples of your existing work, it replicates your tone almost perfectly.
89
When I was in corporate, I'd share previous documents so Claude could replicate that voice across presentations and performance reviews.
90
And now as a creator, I feed it my existing YouTube scripts to help refine new drafts.
91
At this point, you might be wondering how I use all three everyday AI tools together.
92
In a nutshell, ChatGPT or Gemini usually handles the beginning of my work.
93
Ideation, research, drafting the outline of a presentation.
94
Clawed that handles the last mile, turning that rough output into something I'm ready to present or publish.
95
Quick note on Grok, a lot of people ask why I don't use it.
96
It's actually very simple.
97
Grok's superpower is its direct access to the Twitter slash X firehose, right?
98
So it's the best option for people who need to analyze breaking news events in real time.
99
I never needed that.
100
And as a rule of thumb, we should never use tools just for the sake of using tools.
101
We should only add them to our toolkit when they solve an actual problem we have.
102
Here's a quick recap of the three models and when to use them.
103
And if you're wondering whether you need all three,
104
the short answer is no. Most people should stick with the paid version of ChatGPT and get really good at it.
105
But if you can afford multiple subscriptions and your workflow can take advantage of their individual superpowers, mix and match as needed.
106
Fun fact, according to this study on open router data, models from different labs like like ChatGPT and Gemini,
107
expand the pie of AI use cases precisely because they excel at different things.
108
On to the second category, specialist AI.
109
Before diving in, let's clear up a very common misconception.
110
Tools like Perplexity are not foundational models.
111
Here's a simple visual.
112
OpenAI, a frontier AI lab, develops the GPT family of models.
113
They also created ChatGPT as the user -friendly app layer.
114
Perplexity is different.
115
It fine -tunes existing foundational models for speed and accuracy, and is optimized for search.
116
Their own sonar model, for example, is just a fine -tuned version of Meta's open -weight llama model.
117
So on that note, perplexity's superpower is finding accurate information fast.
118
In plain English, the general purpose chatpots are built for reasoning.
119
You use them to help you think, brainstorm, or write a draft.
120
Perplexity is built for fetching.
121
You need a specific fact, and you need it now.
122
Starting Starting off with a simple real -life example,
123
I used Chachibiti to plan a trip to Japan with my brother because that is a creative task.
124
It requires weighing trade -offs, building a narrative, and for that kind of task, I'm happy to wait while the model thinks.
125
But when I need grab -and -go information, like whether a specific restaurant is foreigner -friendly because we don't speak Japanese,
126
I'd want perplexity to give me accurate and update information within seconds.
127
Second example, going back to how I use the three everyday AI tools, let's say Gemini or ChatGPT helps me brainstorm and structure my newsletter.
128
Claude produces the final draft.
129
Perplexity, in this case, is the search scalpel
130
that verifies information like whether Gemini's context window is one million or two million tokens.
131
In case you're curious, consumers get one million, enterprises get two million.
132
Pro tip, you can use Google style search operators like site, colon reddit .com to narrow your results to a specific source.
133
I have an entire video on the most useful Google search operators, so I'll link that down below.
134
As a rule of thumb, think of perplexity as a replacement for Google AI mode.
135
They're both for fetching information and not as a replacement for general purpose chatbots.
136
Actually, let me know if you want an entire video breaking down the AI search apps like perplexity, Google search, Google AI overviews,
137
Google AI mode, because they're all made for different things.
138
Rounding out specialist AI, Notebook LM's superpower is that it only answers from the sources you give it, meaning it won't make things up.
139
Think of it like a walled garden.
140
You upload your sources and Notebook LM answers questions using only those documents.
141
It can't really hallucinate because it has no outside knowledge to draw from.
142
Going back to the visual around how perplexity is optimized for search, Notebook LM uses a fine -tuned Google Gemini model that minimizes hallucinations.
143
For instance, when I was at Google, before publishing marketing materials, I would upload the final draft alongside the source documents and ask
144
Notebook LM if the draft made any claims that contradicted the sources, and it would catch these tiny discrepancies other AI might have missed.
145
I use a similar workflow today for my videos.
146
Before I start filming, I upload my script
147
and all my research into Notebook LM and ask it to flag anything not directly supported by the source material.
148
The obvious caveat here is that the output is only as good as the sources we give it.
149
So if the sources are incorrect, Notebook LM is going to be confidently incorrect.
150
So as a rule of thumb, if the accuracy matters more than creativity and you have source materials to check against, use Notebook LM.
151
There are a few more specialist AI tools I use, but didn't make this list because I don't use them every day.
152
But to quickly go through them, Gamma for presentations, 11labs for voice cloning, Zapier and NAN for automation, and Excalitral and Napkin AI for quick visuals.
153
As a reminder, I'll cover the remaining two categories in part two, so keep an eye out for that.
154
See you on the next video.
155
In the meantime, have a great one.
Télécharger l'application
Tout pour parler couramment
Prononciation IAChaque phrase notée
Phonétique (IPA)Maîtrisez chaque son
VocabulaireEnrichissez votre lexique
Jeu de vocabulaireApprenez en jouant
Même chaîne
B22
Write a Killer Résumé in the AI Era: 5 New Rules!
Interview EnglishWorking Adults
B23
How I'd Learn AI From Scratch in 2026 (skip the useless 80%)
American AccentBusiness EnglishUniversity StudentsWorking Adults
B26
Tell Me About Yourself (The BEST Way to Answer this Interview Question)
American AccentBusiness EnglishInterview EnglishUniversity Students
B213
Why Are You a Good Fit for this Role - How to Answer
American AccentBusiness EnglishInterview EnglishUniversity Students
B29
What is Your Biggest Weakness? (Ace this Interview Question!)
American AccentBusiness EnglishInterview EnglishUniversity Students
B29
Claude Design is Insanely Easy (even for beginners)
American AccentDaily ConversationWorking Adults
B22
Learn 95% of ChatGPT Work in Under 20 Minutes
American AccentBusiness EnglishUniversity StudentsWorking Adults
B21
Tell Me About Yourself - Structure a Strong Answer
American AccentBusiness EnglishInterview EnglishUniversity Students
B21
7 Job Interview Questions to Prepare For!
American AccentBusiness EnglishInterview EnglishUniversity Students
B12
How to Get Started with Notion (without losing your mind)
American AccentBusiness EnglishUniversity StudentsWorking Adults
C12
Google’s AI Course for Beginners (in 10 minutes)!
American AccentBusiness EnglishUniversity StudentsWorking Adults
B23
AI Agents, Clearly Explained
American AccentBusiness EnglishUniversity StudentsWorking Adults
B2Tell me a time You Handled a Difficult Situation (Interview Question)
American AccentBusiness EnglishInterview EnglishUniversity Students
FOR YOU
Vidéo recommandée
C11
484 phrases
How to Build an AI Agent for Every Part of Your Life
Daily ConversationUniversity StudentsWorking Adults
C11
407 phrases
Why AI Tokens are so Expensive - Computerphile
Daily ConversationUniversity StudentsWorking Adults
B21
366 phrases
ChatGPT + Podcasts = English Fluency? Try These 12 Prompts!
Daily ConversationUniversity StudentsWorking Adults
C11
74 phrases
LangChain in 5 Minutes (Explained Clearly)
Daily ConversationUniversity StudentsWorking Adults
C12
90 phrases
Did Google just dethrone OpenAI and Anthropic?
Daily ConversationUniversity StudentsWorking Adults
C18
55 phrases
When AIs act emotional
Daily ConversationUniversity StudentsWorking Adults
C12
171 phrases
Why the Arab World never united
Daily ConversationUniversity StudentsWorking Adults
C12
223 phrases
9 Insane Claude Mods I Already Can't live Without
Daily ConversationUniversity StudentsWorking Adults
C11
358 phrases
It’s not just you
Daily ConversationUniversity StudentsWorking Adults
C12
70 phrases
A Practical Guide To Becoming An AI Engineer (2026)
Daily ConversationUniversity StudentsWorking Adults
C11
353 phrases
Opus 5.5 Just Changed Video Editing Forever (free skills)
Daily ConversationUniversity StudentsWorking Adults
C11
510 phrases
Inside the secret race to build artificial intelligence | The Gray Area
Daily ConversationUniversity StudentsWorking Adults
Vocabulaire et conseils d’expression pour cette leçon
Cette leçon d’expression orale s’appuie sur la vidéo « The Only AI Tools You Need ». Les mots qui reviennent le plus souvent : Chatgpt, Gemini, tool, model, Claude. Cette vidéo contient 155 phrases et 2173 mots à répéter en shadowing. La partie parlée dure 11:54. Le locuteur parle vite, environ 183 mots par minute : attendez-vous à des liaisons et à des sons réduits. Seuls 76 % des mots font partie des 3 000 mots les plus courants en anglais, le vocabulaire est donc exigeant.
Vocabulaire clé de cette vidéo
15 mots de la vidéo à retenir, avec leur prononciation et leur sens :
| Mot | Prononciation | Sens |
|---|---|---|
| prompt verbe | /pɹɑmpt/ | inciter |
| everyday adjectif | /ˈɛvɹiˌdeɪ/ | usuel |
| upload verbe | /ˈʌpˌloʊd/ | téléverser, télécharger |
| audio adjectif | /ˈɔ.di.oʊ/ | audio |
| plain nom | /pleɪn/ | plaine |
| specialist nom | /ˈspɛʃəlɪst/ | spécialiste |
| instruction nom | /ɪnˈstɹʌkʃən/ | instruction |
| thumb nom | /ˈθʌm/ | pouce |
| output nom | /ˈaʊtpʊt/ | sortie |
| script nom | /skɹɪpt/ | écrit |
| tune nom | /tjuːn/ | mélodie, air |
| generate verbe | /ˈd͡ʒɛn.ə.ɹeɪt/ | générer |
| replacement nom | /ɹɪˈpleɪsmənt/ | remplaçant, substitut |
| deck nom | /ˈdɛk/ | pont |
| operator nom | /ˈɑpəˌɹeɪtɚ/ | téléphoniste |
Les verbes à particule que vous entendrez
| Mot | Sens |
|---|---|
| break down verbe | tomber en panne |
| figure out verbe | cerner |
| go through verbe | traverser |
| point out verbe | pointer |
| pull out verbe | se retirer |
| put together verbe | assembler |
La grammaire de cette vidéo
Les structures que le locuteur utilise le plus, avec les mots exacts de la vidéo :
| Structure | Dans la vidéo |
|---|---|
| Voix passive be + participe passé — l’accent est mis sur ce qui arrive, pas sur qui le fait | was discussed · is optimized · are built |
| Present perfect have/has + participe passé — une action passée qui compte encore maintenant | I've grouped · have actually become · has figured |
| Propositions relatives who / which + proposition — une précision sur une personne ou une chose | one, which is · people who need |
Prononciation à surveiller
Le locuteur utilise 28 contractions et formes réduites, comme don't, I'll, you're. Prononcez-les sous leur forme courte, telles que vous les entendez.
- Les sons « th »: thumb /ˈθʌm/, synthesize /ˈsɪnθəsaɪz/, walkthrough /ˈwɔːk.θɹuː/
- Les sons « sh » et « zh »: specialist /ˈspɛʃəlɪst/, instruction /ɪnˈstɹʌkʃən/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/, publish /ˈpʌblɪʃ/, polish /ˈpɑ.lɪʃ/
- Mots longs — placez bien l’accent: operator /ˈɑpəˌɹeɪtɚ/, accuracy /ˈæk.jɚ.ə.si/, developer /dɪˈvɛləpɚ/, consistently /kənˈsɪstəntli/, capability /ˌkeɪ.pəˈbɪl.ɪ.ti/
Les sons difficiles pour les francophones :
- /h/ — il se souffle, il n’est pas muet: whereas /(h)wɛɹˈæz/, hire /ˈhaɪɹ/, hallucinate /həˈl(j)uːsɪneɪt/, hallucination /həˌluːsɪˈneɪʃən/
- /tʃ/ et /dʒ/ — à ne pas adoucir en « ch » et « j »: generate /ˈd͡ʒɛn.ə.ɹeɪt/, fetch /fɛt͡ʃ/, chart /t͡ʃɑɹt/, functional /ˈfʌŋkt͡ʃənəl/, choke /t͡ʃoʊk/
- /r/ anglais — langue recourbée, sans frotter la gorge: prompt /pɹɑmpt/, everyday /ˈɛvɹiˌdeɪ/, instruction /ɪnˈstɹʌkʃən/, script /skɹɪpt/, presentation /ˌpɹɛzn̩ˈteɪʃn̩/
Comment s’entraîner avec cette vidéo
- Écoutez la vidéo en entier une fois sans parler et notez les mots que vous ne connaissez pas.
- Commencez à la vitesse 0,75×, répétez phrase par phrase, puis revenez à la vitesse normale quand cela devient facile.
- Enregistrez-vous et comparez avec l’original, en faisant attention à des mots comme prompt, everyday, upload.
Qu'est-ce que la technique du Shadowing ?
Le Shadowing est une technique d'apprentissage des langues fondée sur la science, développée à l'origine pour la formation des interprètes professionnels. Le principe est simple mais puissant : vous écoutez de l'anglais natif et le répétez immédiatement à voix haute — comme une ombre suivant le locuteur avec un décalage de 1 à 2 secondes. Les recherches montrent une amélioration significative de la précision de la prononciation, de l'intonation, du rythme, des liaisons, de la compréhension orale et de la fluidité.