You can create a script with artificial intelligence in just a few steps — even if by "AI" we mean a simple learning model that learns from the data itself and then makes decisions.

I'll write out step-by-step instructions for you so that you can do it right today.

---

1. Choose an AI task.

AI is not magic, it solves specific tasks. You need to decide what you want.:

Recognize text (detect language, tonality, errors).

Recognize images (classification, object detection).

Work with voice (recognize speech, synthesize voice).

Recommend products, movies, and music.

Predict something (prices, demand, weather).

Example: to determine whether a review is positive or negative.

---

2. Prepare the data

AI learns from examples. For text, these are phrases with labels. For example:

"I liked it" → Positive "It's terrible" → Negative

You can take it:

Your data.

Open datasets (Kaggle, Hugging Face).

---

3. Choose a library

There are simple libraries for Python:

scikit-learn is for classical AI algorithms.

transformers — for modern models (BERT, GPT).

tensorflow or pytorch are for neural networks.

opencv is for working with images.

---

4. Write the training code

Example: a minimal script for text classification using scikit-learn.

from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.linear_model import LogisticRegression

# Data texts = ["I love it", "I hate it", "Amazing product", "Terrible experience"] labels = ["pos", "neg", "pos", "neg"]

# Convert text to numbers vectorizer = TfidfVectorizer() X = vectorizer.fit_transform(texts)

# Training the model model = LogisticRegression() model.fit(X, labels)

# Making a prediction new_text = ["I really love this product"] X_new = vectorizer.transform(new_text) print(model.predict(X_new))

---

5. Check the result

Run the script:

python my_ai_script.py

You'll see which label the AI predicts.

---

6. Refine it for your product

Add more data.

Save the model (joblib or pickle).

Make a web interface (Flask, FastAPI, Gradio).

Connect it to the bot or website.

---

If you want, you can make a full-fledged AI script in Python for teaching English, with error recognition elements and hints, so that it is a real product.

Do you want to, can you do it right now?