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:
- Data Collection: gathering 80+ fields (dynamic logic based on private/company, owner/driver status).
- Document Handling: Requesting specific docs, OCR analysis, and validation.
- Support: Answering FAQs from a Knowledge Base.
- 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! 🚀