# 084: AI Classification
# Categorize data automatically

# Classify text
email_body = "Congratulations! You've won $1,000,000! Click here to claim..."

classification = ai.classify(email_body, {
  categories: ["spam", "legitimate", "promotional"],
  confidence: true
})

show "Category: {classification.category}"
show "Confidence: {classification.confidence}%"

if classification.category == "spam":
  move_to_spam(email_body)

# Classify support tickets
ticket = {
  subject: "Cannot login to my account",
  body: "I keep getting 'invalid password' even though I'm sure it's correct"
}

category = ai.classify(ticket, {
  categories: ["bug", "feature_request", "support", "billing"],
  output: "category_only"
})

category is:
  "bug": assign_to_engineering(ticket)
  "support": assign_to_support(ticket)
  "billing": assign_to_billing(ticket)
  "feature_request": add_to_roadmap(ticket)

# Classify images (if available)
photo = load_image("photo.jpg")

tags = ai.classify(photo, {
  categories: ["nature", "city", "people", "food", "animals"],
  multiple: true  # Can have multiple tags
})

show "Tags: {tags}"  # ["nature", "animals"]

# Sentiment analysis
review = "This product is absolutely terrible. Waste of money!"

sentiment = ai.classify(review, {
  categories: ["positive", "negative", "neutral"]
})

show "Sentiment: {sentiment}"  # negative