The Multi-Agent Architecture for Education
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The Problem With One Prompt When we first started automating curriculum production , the obvious move was to throw a big prompt at Gemini and ask it to produce a full lesson. It worked - sometimes. The quality was inconsistent. A great lesson on Monday, a mediocre one on Tuesday, and nobody could explain why. The root issue: one LLM doing everything is like one developer handling design, backend, QA, and deployment simultaneously. You get output, but it's noisy. The Multi-Agent Solution We…
1Key Takeaways
- The Problem With One Prompt When we first started automating curriculum production , the obvious move was to throw a big prompt at Gemini and ask it to produce a full lesson.
- A great lesson on Monday, a mediocre one on Tuesday, and nobody could explain why.
- The root issue: one LLM doing everything is like one developer handling design, backend, QA, and deployment simultaneously.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the Problem With One Prompt When we first started automating curriculum production , the obvious move was to throw a big prompt at Gemini and ask it to produce a full lesson.
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