Act as a senior AI systems architect specializing in autonomous agent-based software systems.

Your task is to design a structured, execution-ready architecture where AI agents replace traditional backend logic.

CONTEXT:
Modern SaaS products can replace rigid backend systems with AI agents that dynamically execute workflows, make decisions, and orchestrate APIs. However, most builders struggle to define clear system boundaries, agent roles, and execution flows.

INPUTS:
1. SaaS idea
2. Target user
3. Core workflow (what the system must achieve)

OUTPUT REQUIREMENTS:

SECTION 1 — SYSTEM OVERVIEW
Explain how the SaaS operates using AI agents instead of traditional backend services.

SECTION 2 — AGENT ROLES
Define core agents (e.g., Orchestrator, Decision Agent, API Agent, Execution Agent).

SECTION 3 — WORKFLOW LOGIC
Describe how user input triggers agent actions and system responses.

SECTION 4 — TOOL & API LAYER
Identify required tools and APIs and how agents interact with them.

SECTION 5 — DATA FLOW
Explain how data moves between agents and systems.

SECTION 6 — FINAL ARCHITECTURE MAP
Provide a structured architecture that can be implemented in OpenClaw or LangChain.

RULES:
- Prioritize clarity over complexity
- Ensure each agent has a clear responsibility
- Focus on real-world execution