Hi everyone, I am building a production-ready SaaS for vehicle damage appraisals (B2B). The system needs to be "bulletproof" as I plan to scale this to multiple clients. The Workflow is complex: 1. Data Collection: gathering 80+ fields (dynamic logic based on private/company, owner/driver status). 2. Document Handling: Requesting specific docs, OCR analysis, and validation. 3. Support: Answering FAQs from a Knowledge Base. 4. Scheduling: Booking appointments. I am currently debating the smartest architecture to ensure reliability and context retention. The Options I'm considering: - Option A: The "God Agent" (Monolith) One single Agent (GPT-4o) with a massive system prompt handling everything. - Option B: Router + Specialists (The Swarm) A fast/cheap Prequalifier/Router (e.g., gpt-4o-mini) classifying the intent, then routing to: My Question: For a high-stakes SaaS where data integrity is key: Is the complexity of orchestrating multiple agents worth it? Or is a single, well-prompted GPT-4o robust enough to handle context switching without breaking the flow? Would love to hear your experiences with production apps! Thanks! 🚀

**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? Client: [email protected] Agent: Got it. Now your address please Client: Oh I meant [email protected] 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?​​​​​​​​​​​​​​​​

I tried gemini 3 on my current projekt and it burned 40€ just to read my entire project even when I started a new chat and tried to fix a specific bug it also spend like 5€ on that within the first 3 messages, am I doing something wrong or is it normal to be this expensive? Anyone tried it too? Whats your experience?

Guys i wanted to test gemini 3 to complete my project that I have been struggling with to complete with claude code since 2month And yes gemini 3 is way better takes only 3 tries to fix a bug but wtf is this spending i burned 40€ in 2h thats worse than a V8 bi turbo 💀🥲 They really need to fix that