The Multi-Agent Architecture for Education

Short summary

Multi-agent architecture using LangGraph outperformed single-prompt curriculum generation, improving content consistency to 8.5/10 and cutting production time by 40%. Four specialized agents—Planner, Writer, QA, Formatter—run as a state machine with conditional loops. The pattern shows AI systems achieve higher quality through role specialization.

• •Specialized agents (Planner, Writer, QA, Formatter) improved consistency score from 6.8 to 8.5/10
• •Production time dropped 40%, QA iterations reduced from 3+ to 1.2 average
• •Key insight: AI agent specialization produces better output than monolithic single-prompt approach

Generated with AI, which can make mistakes.