AI Isn’t Just for Coders Anymore

🧠 What Is BMadCode?

BMadCode is an AI framework powered by Agentic Planning and Execution — enabling structured, role-based collaboration across projects. Originally built for software, it's equally powerful in education and research contexts.

🎓 Use Case #1: Structured Academic Research

• Input a topic or hypothesis
• Analyst Agent gathers key concepts
• PM Agent outlines objectives and methods
• Architect Agent structures the document flow

Outputs include:

• docs/lit-review.md
• docs/research-plan.md
• docs/citation-index.md

📘 Use Case #2: Curriculum & Lesson Planning

Educators can generate:

• Lesson objectives and weekly outlines
• Assessment questions and quiz plans
• Lecture prompts and teaching materials

Example: "Teach Ancient Rome to 10th graders"

• docs/lesson-plan.md
• docs/activities.md
• docs/evaluation.md

🔬 Use Case #3: Research Assistant Agents

• Summarize academic papers
• Extract themes from datasets
• Generate visualizations and citations

Combine with LangChain, LlamaIndex, Pinecone, Claude or GPT-4 for advanced processing.

📦 Thesis Planning Example

npx bmad-method install
bmad plan

Prompt: "Design a research project on AI in rural education"

Outputs:
- docs/prd.md
- docs/architecture.md
- docs/tasks.md
- docs/personas.md

🎯 Benefits for Different Roles

✨ Future Applications

• AI tutors embedded in courses
• Dynamic curriculum updates
• Voice-based assistants for textbooks
• Grant proposal generation