1AI failures:
2- Doesn't understand intent
3- Hallucinates information
4- Gives wrong answer
5- Response too long/short
6- Inappropriate content
7 
8System failures:
9- API timeout
10- Service unavailable
11- Rate limits
12- Network issues
13 
14User-related:
15- Unclear input
16- Off-topic requests
17- Abuse attempts
18- Language barriers

1Detection:
2- Low confidence score
3- No matching intent
4- Multiple possible intents
5 
6Response:
7"I'm not sure I understood that correctly.
8Could you rephrase your question?
9 
10Or choose from these options:
11• Track an order
12• Get support
13• Ask a question"

1User: "I need help with the thing"
2Agent: "I'd love to help! Could you tell me more?
3        Are you looking for help with:
4        • An order
5        • A product
6        • Account settings
7        • Something else"
8User: "Order"
9Agent: [Now understands, proceeds to order flow]

1Track consecutive failures:
2 
3If failure_count = 1:
4  "Let me try to understand better..."
5 
6If failure_count = 2:
7  "I'm having trouble understanding.
8   Here are things I can help with: [options]"
9 
10If failure_count >= 3:
11  "I think you'd be better helped by a human.
12   Let me connect you to our team."
13  → Human handoff

1Validate AI response:
21. Not empty
32. Reasonable length
43. No forbidden content
54. Relevant to question
65. Factually checkable (if possible)

1If AI confidence < 0.7:
2  Add disclaimer:
3  "Based on my understanding, [response].
4   If this doesn't answer your question,
5   please let me know."
6 
7If AI confidence < 0.5:
8  Don't show response
9  Ask for clarification instead

1Strategies:
21. Ground responses in knowledge base
32. Add "I don't know" training
43. Request citations
54. Verify against data
65. Human review for critical info

1Level 1: Rephrase request
2"Could you say that differently?"
3 
4Level 2: Offer alternatives
5"I can help with X, Y, or Z. Which interests you?"
6 
7Level 3: Provide resources
8"I found these resources that might help: [links]"
9 
10Level 4: Human handoff
11"Let me connect you with someone who can help."

1If knowledge base unavailable:
2  → Use general LLM knowledge
3  → Add disclaimer
4 
5If AI service down:
6  → Provide FAQ links
7  → Offer callback
8 
9If all else fails:
10  → Apologize sincerely
11  → Collect contact info
12  → Promise follow-up

1Automatic triggers:
2- User requests human
3- Multiple failures
4- High frustration detected
5- Sensitive topics
6- Complex issues
7- Payment/billing issues
8- Complaints

1Agent: "I think you'd be best helped by one of our team members.
2        Let me connect you now.
3        
4        Before I do, can I get:
5        • Your name?
6        • Best contact method?
7        • Brief summary of your issue?"
8 
9[Collect info]
10 
11Agent: "Thanks! A team member will be with you shortly.
12        For reference, your case number is #12345.
13        Current wait time is approximately 5 minutes."
14 
15[Transfer to human with full context]

1Pass to human agent:
2- Full conversation transcript
3- User info (if known)
4- Intent detected
5- Actions attempted
6- Suggested resolution
7- Sentiment analysis

1Integrations:
2- Zendesk
3- Intercom
4- Freshdesk
5- LiveChat
6- Custom systems
7 
8Workflow:
91. Create ticket/conversation
102. Attach transcript
113. Assign to agent/queue
124. Notify team
135. Track resolution

1HTTP errors:
2- 400: Bad request → Check input
3- 401: Unauthorized → Refresh token
4- 403: Forbidden → Check permissions
5- 404: Not found → Handle gracefully
6- 429: Rate limit → Wait and retry
7- 500: Server error → Fallback/retry
8- 503: Unavailable → Try later

1Exponential backoff:
2 
3Attempt 1: Immediate
4Attempt 2: Wait 1 second
5Attempt 3: Wait 2 seconds
6Attempt 4: Wait 4 seconds
7Max attempts: 3-5
8 
9Code pattern:
10for attempt in 1..max_attempts:
11  try:
12    result = make_api_call()
13    return result
14  except:
15    wait(2^attempt seconds)
16give_up()

1If service failing consistently:
21. Count failures
32. If failures > threshold in time window:
4   - "Open" circuit
5   - Stop calling failing service
6   - Use fallback
73. After cool-down:
8   - Try one request
9   - If success: close circuit
10   - If fail: stay open

1Order lookup error:
2"I couldn't find that order number.
3Could you double-check it?
4Order numbers are usually 5 digits, like 12345."
5 
6Calendar booking error:
7"That time slot just became unavailable.
8How about [alternative time]?"
9 
10Payment error:
11"There was an issue processing your request.
12Please don't worry - no charges were made.
13Would you like to try again or speak with someone?"

1Log every interaction:
2- Timestamp
3- User ID
4- Input received
5- Intent detected
6- Confidence score
7- Actions taken
8- Response given
9- Errors (if any)
10- Duration

1Track:
2- Error type
3- Frequency
4- User impact
5- Resolution status
6 
7Tools:
8- Internal dashboard
9- Sentry
10- LogRocket
11- Custom analytics

1Alert on:
2- Error rate spikes
3- Response time increases
4- API failures
5- Low confidence trends
6- High handoff rate

1Intentionally break things:
21. Disable API connections
32. Inject delays
43. Return error responses
54. Remove knowledge base
65. See how agent handles

1If conversation state lost:
2- Apologize for confusion
3- Summarize what was understood
4- Ask user to confirm/correct
5- Continue from last known good state

1After major error:
2"I apologize - I hit a snag!
3Let me start fresh.
4What can I help you with today?"
5 
6[Reset state but keep user info]