**TITLE:**
How to build an AI agent that responds like a human (instead of rigid if-structures)?
**POST:**
I’m building an AI agent for automotive appraisers (claims handling). The agent should answer customer questions AND handle complete claim processes.
**The Problem:**
Claude Code keeps building rigid if-structures, even though I want human-like behavior.
**What I WANT:**
```
Agent: Please send me your email
Client: How much does a claim cost?
Agent: Around $700. Can you send me your email now?
Agent: Got it. Now your address please
Agent: No problem, updated. Now your address please
```
**What I GET:**
Dead if-structures that can’t handle context switches or corrections.
**My Setup:**
- Using Claude Code
- Already tried detailed prompts explaining desired behavior
- Agent needs to collect: email, address, damage details, photos etc.
**Question:**
How do I build an agent that:
- Handles each message independently with context awareness
- Can switch topics mid-conversation
- Accepts corrections naturally
- Doesn’t break when clients don’t follow the script
Any frameworks, prompt strategies, or architectures that solve this?