# Work Summary - 15 March 2026

## Project: Adaptive Study Agent

## What was done

Built the entire project from scratch in a single session. All source files are written and dependencies are installed.

### Files created

- `pyproject.toml` -- project config with all dependencies (LangGraph, langchain-anthropic, langchain-openai, langchain-chroma, chromadb, pymupdf, python-dotenv)
- `.env` -- placeholder for API keys (ANTHROPIC_API_KEY, OPENAI_API_KEY)
- `src/graph/state.py` -- StudyState TypedDict
- `src/graph/nodes.py` -- all 6 node functions (ingest, generate_question, answer, evaluate, reread, summarize)
- `src/graph/edges.py` -- conditional edge logic (after_evaluate routing)
- `src/graph/build_graph.py` -- LangGraph StateGraph assembly with entry point, normal edges, and conditional edges
- `src/tools/ingest.py` -- PDF/text extraction, chunking, ChromaDB ingestion
- `src/tools/retriever.py` -- ChromaDB similarity search wrapper
- `src/prompts/question_prompt.py` -- question generation prompt
- `src/prompts/answer_prompt.py` -- answer prompt with chunk citation
- `src/prompts/evaluate_prompt.py` -- strict self-grading prompt (Score + Reasoning format)
- `src/main.py` -- CLI entry point with argparse, session report writer
- `tests/test_edges.py` -- 5 tests for conditional edge logic
- `tests/test_ingest.py` -- 3 tests for text chunking

### Dependencies

All 102 packages installed successfully via `uv sync`.

## What remains

- Run tests (`uv run pytest tests/ -v`) to verify everything passes
- Add API keys to `.env`
- Test end-to-end with an actual PDF document
- Write README.md (portfolio framing as described in CLAUDE.md)

## Notes

- Session started late evening, ended ~11:20 PM
- All code follows the architecture and rules defined in `project_3_adaptive_study_agent_CLAUDE.md`