AI Agent Architecture Blueprint — Multi-Agent System Design Prompts

Design AI Agent Systems That Actually Work in Production

15 prompts for the engineer who's moved past "hello world" agents and needs to build reliable, production-grade multi-agent systems.

What's Inside

• Agent Persona Designer — Creates detailed agent system prompts with role, capabilities, constraints, and failure modes
• Tool Selection Matrix — Evaluates which tools an agent needs vs. which add complexity without value
• Memory Architecture Planner — Designs short-term, long-term, and episodic memory systems for agent persistence
• Guardrail Framework — Creates input/output validation, cost limits, rate limits, and human-in-the-loop triggers
• Multi-Agent Orchestration Pattern — Designs communication patterns: hierarchical, peer-to-peer, blackboard, or pipeline
• Agent Evaluation Suite — Creates test cases, benchmarks, and regression tests for agent behavior
• Production Deployment Checklist — Monitoring, logging, fallback strategies, and graceful degradation patterns
• + 8 more: RAG integration, function calling optimization, context window management, cost estimation, error recovery, agent debugging, human handoff, compliance audit