feat: Implement Study Interview Mode as default study creation method
Study Interview Mode is now the DEFAULT for all study creation requests. This intelligent Q&A system guides users through optimization setup with: - 7-phase interview flow: introspection → objectives → constraints → design_variables → validation → review → complete - Material-aware validation with 12 materials and fuzzy name matching - Anti-pattern detection for 12 common mistakes (mass-no-constraint, stress-over-yield, etc.) - Auto extractor mapping E1-E24 based on goal keywords - State persistence with JSON serialization and backup rotation - StudyBlueprint generation with full validation Triggers: "create a study", "new study", "optimize this", any study creation intent Skip with: "skip interview", "quick setup", "manual config" Components: - StudyInterviewEngine: Main orchestrator - QuestionEngine: Conditional logic evaluation - EngineeringValidator: MaterialsDatabase + AntiPatternDetector - InterviewPresenter: Markdown formatting for Claude - StudyBlueprint: Validated configuration output - InterviewState: Persistent state management All 129 tests passing. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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docs/plans/ATOMIZER_STUDY_INTERVIEW_MODE_IMPLEMENTATION_PLAN.md
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# Study Interview Mode - Implementation TODO
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**Created**: 2026-01-02
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**Source**: [ATOMIZER_STUDY_INTERVIEW_MODE_IMPLEMENTATION_PLAN.md](ATOMIZER_STUDY_INTERVIEW_MODE_IMPLEMENTATION_PLAN.md)
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**Status**: COMPLETE - All Tasks Done
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---
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## Overview
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This document tracks the Interview Mode implementation. **All core components have been implemented and tests pass (129/129).**
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---
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## Phase 1: Foundation - COMPLETE
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### 1.1 Directory Structure Setup
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**Status**: `[x]` COMPLETE
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**Files Created**:
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```
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optimization_engine/interview/
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├── __init__.py
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├── study_interview.py
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├── question_engine.py
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├── interview_state.py
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├── interview_presenter.py
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├── interview_intelligence.py
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├── engineering_validator.py
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├── study_blueprint.py
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└── schemas/
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├── interview_questions.json
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├── materials_database.json
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└── anti_patterns.json
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tests/interview/
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├── __init__.py
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├── test_interview_state.py
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├── test_question_engine.py
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├── test_interview_presenter.py
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├── test_engineering_validator.py
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├── test_study_blueprint.py
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└── test_study_interview.py
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```
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---
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### 1.2 InterviewState Dataclass
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**Status**: `[x]` COMPLETE
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Implemented in `interview_state.py`:
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- InterviewState dataclass with all fields
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- JSON serialization (to_json(), from_json())
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- InterviewPhase enum with transitions
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- Helper methods: is_complete(), progress_percentage(), add_warning(), etc.
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- AnsweredQuestion and LogEntry dataclasses
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---
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### 1.3 InterviewStateManager
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**Status**: `[x]` COMPLETE
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Implemented in `interview_state.py`:
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- Directory creation (.interview/, .interview/backups/)
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- Atomic save with backup rotation
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- Lock file mechanism
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- Log file appending (INTERVIEW_LOG.md)
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- History tracking
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---
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## Phase 2: Question Engine - COMPLETE
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### 2.1 Question Schema
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**Status**: `[x]` COMPLETE
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Created `schemas/interview_questions.json`:
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- 17 questions across 7 categories
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- Conditional logic definitions
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- Dynamic option population support
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- Engineering guidance per question
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---
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### 2.2 QuestionEngine
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**Status**: `[x]` COMPLETE
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Implemented in `question_engine.py`:
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- Schema loading and parsing
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- Conditional evaluation (and/or/not/equals/contains/introspection_has)
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- Dynamic option population from introspection
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- Answer validation
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- Category ordering
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---
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### 2.3 Interview Presenters
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**Status**: `[x]` COMPLETE
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Implemented in `interview_presenter.py`:
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- InterviewPresenter abstract base class
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- ClaudePresenter (markdown formatting)
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- DashboardPresenter (JSON events)
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- CLIPresenter (plain text)
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- Response parsing for all question types
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---
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## Phase 3: Intelligence Layer - COMPLETE
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### 3.1 ExtractorMapper
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**Status**: `[x]` COMPLETE
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Implemented in `interview_intelligence.py`:
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- GOAL_MAP for goal-to-extractor mapping
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- Support for all extractors E1-E10
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- Auto-assignment based on optimization goal
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---
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### 3.2 Materials Database
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**Status**: `[x]` COMPLETE
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Created `schemas/materials_database.json`:
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- 12 common engineering materials
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- Properties: yield stress, ultimate stress, density, modulus
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- Safety factors by application
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- Fuzzy name matching implemented
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---
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### 3.3 Anti-Pattern Detector
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**Status**: `[x]` COMPLETE
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Created `schemas/anti_patterns.json` and implemented in `engineering_validator.py`:
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- 12 anti-pattern definitions
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- Severity levels (error, warning, info)
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- Fix suggestions
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- Pattern detection logic
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---
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### 3.4 Engineering Validator
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**Status**: `[x]` COMPLETE
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Implemented in `engineering_validator.py`:
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- MaterialsDatabase class with fuzzy matching
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- AntiPatternDetector class
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- EngineeringValidator combining both
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- Constraint validation (stress, displacement, frequency)
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- Bounds suggestion
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---
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### 3.5 Interview Intelligence
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**Status**: `[x]` COMPLETE
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Implemented in `interview_intelligence.py`:
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- Complexity determination (simple/moderate/complex)
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- Question estimation
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- Recommended settings generation
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---
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## Phase 4: Blueprint & Generation - COMPLETE
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### 4.1 StudyBlueprint
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**Status**: `[x]` COMPLETE
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Implemented in `study_blueprint.py`:
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- DesignVariable, Objective, Constraint dataclasses
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- StudyBlueprint with all configuration
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- to_config_json() for optimization_config.json format
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- to_markdown() for summary display
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- Validation methods
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---
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### 4.2 BlueprintBuilder
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**Status**: `[x]` COMPLETE
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Implemented in `study_blueprint.py`:
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- from_interview_state() method
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- Automatic extractor assignment
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- Trial count calculation
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- Sampler selection
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---
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### 4.3 StudyInterviewEngine
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**Status**: `[x]` COMPLETE
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Implemented in `study_interview.py`:
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- Main orchestrator class
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- start_interview() with resume support
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- get_first_question() / process_answer() flow
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- Warning acknowledgment
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- Blueprint generation and modification
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- State persistence
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---
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## Phase 5: Integration - COMPLETE
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### 5.1 Skill File
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**Status**: `[x]` COMPLETE
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Created `.claude/skills/modules/study-interview-mode.md`:
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- Usage documentation
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- Example conversation
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- Integration guide
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---
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### 5.2 Protocol Updates
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**Status**: `[x]` COMPLETE
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Completed:
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- [x] Update OP_01_CREATE_STUDY.md with interview phase
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- [x] Update 00_BOOTSTRAP.md task routing
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- [x] Update CLAUDE.md with interview instructions
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---
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## Phase 6: Testing - COMPLETE
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### 6.1 Unit Tests
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**Status**: `[x]` COMPLETE
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All tests pass: **129/129**
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Test files created:
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- test_interview_state.py (23 tests)
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- test_question_engine.py (20 tests)
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- test_interview_presenter.py (16 tests)
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- test_engineering_validator.py (32 tests)
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- test_study_blueprint.py (22 tests)
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- test_study_interview.py (16 tests)
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---
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### 6.2 Integration Tests
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**Status**: `[x]` COMPLETE
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Integration tests in test_study_interview.py:
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- Full interview flow
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- Resume functionality
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- Blueprint generation
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- Warning handling
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---
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## Summary
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| Phase | Status | Completion |
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|-------|--------|------------|
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| 1. Foundation | COMPLETE | 100% |
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| 2. Question Engine | COMPLETE | 100% |
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| 3. Intelligence | COMPLETE | 100% |
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| 4. Blueprint | COMPLETE | 100% |
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| 5. Integration | COMPLETE | 100% |
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| 6. Testing | COMPLETE | 100% |
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**Overall**: 100% Complete
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**All Tasks Done**:
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- [x] All 129 tests passing
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- [x] All protocol updates complete
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- [x] Skill file created
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---
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## Quick Start
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```python
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from optimization_engine.interview import StudyInterviewEngine
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# Create engine
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engine = StudyInterviewEngine(study_path)
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# Start interview
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session = engine.start_interview("my_study", introspection=introspection_data)
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# Get first question
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action = engine.get_first_question()
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print(action.message)
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# Process answers in loop
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while action.action_type == "ask_question":
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user_response = input()
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action = engine.process_answer(user_response)
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# When complete
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if action.action_type == "show_summary":
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blueprint = action.blueprint
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config = blueprint.to_config_json()
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```
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