Update app.py

app.py

@@ -1,1043 +1,1042 @@
-"""
-Strategic Sandbox v1.0
-Interactive strategy simulation and evaluation tool
-"""
-
-import streamlit as st
-import json
-import os
-from pathlib import Path
-import pandas as pd
-import plotly.graph_objects as go
-import plotly.express as px
-import networkx as nx
-import matplotlib.pyplot as plt
-from openai import OpenAI
-from datetime import datetime
-
-from strategy_core import (
-    Strategy, Goal, Arena, Insight, Hypothesis, Move, Metric,
-    SimulationEngine
-)
-
-
-# Page configuration
-st.set_page_config(
-    page_title="Strategic Sandbox",
-    page_icon="🎯",
-    layout="wide",
-    initial_sidebar_state="expanded"
-)
-
-# Custom CSS for Heuristica aesthetic
-st.markdown("""
-<style>
-    .main-header {
-        font-size: 2.5rem;
-        font-weight: 600;
-        color: #1e90ff;
-        margin-bottom: 0.5rem;
-    }
-    .sub-header {
-        font-size: 1.2rem;
-        color: #666;
-        margin-bottom: 2rem;
-    }
-    .metric-card {
-        background-color: #f0f8ff;
-        padding: 1rem;
-        border-radius: 8px;
-        border-left: 4px solid #1e90ff;
-    }
-    .stButton>button {
-        background-color: #1e90ff;
-        color: white;
-        border-radius: 6px;
-        border: none;
-        padding: 0.5rem 1.5rem;
-        font-weight: 500;
-    }
-    .stButton>button:hover {
-        background-color: #187bcd;
-    }
-</style>
-""", unsafe_allow_html=True)
-
-
-# Initialize session state
-def init_session_state():
-    """Initialize all session state variables"""
-    if 'strategy' not in st.session_state:
-        st.session_state.strategy = Strategy()
-    if 'simulation_results' not in st.session_state:
-        st.session_state.simulation_results = None
-    if 'ai_feedback' not in st.session_state:
-        st.session_state.ai_feedback = None
-    if 'openai_api_key' not in st.session_state:
-        st.session_state.openai_api_key = ""
-    if 'current_page' not in st.session_state:
-        st.session_state.current_page = "Dashboard"
-
-
-def save_api_key():
-    """Save API key to local file for persistence"""
-    key_file = Path("data/.api_key")
-    key_file.parent.mkdir(exist_ok=True)
-    with open(key_file, 'w') as f:
-        f.write(st.session_state.openai_api_key)
-
-
-def load_api_key():
-    """Load API key from local file"""
-    key_file = Path("data/.api_key")
-    if key_file.exists():
-        with open(key_file, 'r') as f:
-            return f.read().strip()
-    return ""
-
-
-def render_sidebar():
-    """Render sidebar with navigation and API key input"""
-    with st.sidebar:
-        st.markdown('<div class="main-header">🎯 Strategic Sandbox</div>', unsafe_allow_html=True)
-        st.markdown("**v1.0** - Strategy Simulation Tool")
-        st.markdown("---")
-
-        # API Key input
-        st.subheader("OpenAI Configuration")
-
-        # Load saved key if available
-        if not st.session_state.openai_api_key:
-            st.session_state.openai_api_key = load_api_key()
-
-        api_key = st.text_input(
-            "API Key",
-            value=st.session_state.openai_api_key,
-            type="password",
-            help="Your OpenAI API key will be saved locally"
-        )
-
-        if api_key != st.session_state.openai_api_key:
-            st.session_state.openai_api_key = api_key
-            save_api_key()
-            if api_key:
-                st.success("API Key saved!")
-
-        st.markdown("---")
-
-        # Navigation
-        st.subheader("Navigation")
-        pages = ["Dashboard", "Strategy Builder", "Simulation", "AI Evaluator", "Report"]
-
-        for page in pages:
-            if st.button(page, key=f"nav_{page}", use_container_width=True):
-                st.session_state.current_page = page
-                st.rerun()
-
-        st.markdown("---")
-
-        # Quick actions
-        st.subheader("Quick Actions")
-
-        col1, col2 = st.columns(2)
-        with col1:
-            if st.button("📁 Load Example", use_container_width=True):
-                load_example_strategy()
-                st.success("Example loaded!")
-                st.rerun()
-
-        with col2:
-            if st.button("🔄 Reset", use_container_width=True):
-                st.session_state.strategy = Strategy()
-                st.session_state.simulation_results = None
-                st.session_state.ai_feedback = None
-                st.success("Strategy reset!")
-                st.rerun()
-
-
-def load_example_strategy():
-    """Load example strategy from JSON"""
-    example_path = Path("data/example.json")
-    if example_path.exists():
-        st.session_state.strategy = Strategy.from_json(str(example_path))
-
-
-def render_dashboard():
-    """Render dashboard page"""
-    st.markdown('<div class="main-header">Dashboard</div>', unsafe_allow_html=True)
-    st.markdown('<div class="sub-header">Strategic overview and quick start</div>', unsafe_allow_html=True)
-
-    # Quick stats
-    col1, col2, col3, col4 = st.columns(4)
-
-    strategy = st.session_state.strategy
-
-    with col1:
-        st.metric("Insights", len(strategy.insights))
-    with col2:
-        st.metric("Hypotheses", len(strategy.hypotheses))
-    with col3:
-        st.metric("Moves", len(strategy.moves))
-    with col4:
-        st.metric("Metrics", len(strategy.metrics))
-
-    st.markdown("---")
-
-    # Strategy overview
-    if strategy.goal:
-        st.subheader("Current Goal")
-        st.info(f"**{strategy.goal.text}**\n\nTarget: {strategy.goal.target}{strategy.metrics[0].unit if strategy.metrics else ''} by {strategy.goal.horizon}")
-    else:
-        st.warning("No strategy defined yet. Go to **Strategy Builder** to start.")
-
-    # Recent simulation results
-    if st.session_state.simulation_results:
-        st.subheader("Latest Simulation Results")
-        results = st.session_state.simulation_results
-
-        col1, col2 = st.columns(2)
-        with col1:
-            st.metric("Total Impact Score", f"{results['total_impact']:.4f}")
-        with col2:
-            if results['move_scores']:
-                top_move = results['move_scores'][0]
-                st.metric("Top Move", top_move['text'], f"Score: {top_move['score']:.4f}")
-
-    # Quick start guide
-    st.markdown("---")
-    st.subheader("Quick Start Guide")
-
-    st.markdown("""
-    1. **Strategy Builder**: Define your goal, insights, hypotheses, and moves
-    2. **Simulation**: Run scoring simulation to evaluate moves
-    3. **AI Evaluator**: Get AI feedback on strategy coherence
-    4. **Report**: Generate and export your strategy report
-    """)
-
-
-def render_strategy_builder():
-    """Render strategy builder page with forms"""
-    st.markdown('<div class="main-header">Strategy Builder</div>', unsafe_allow_html=True)
-    st.markdown('<div class="sub-header">Define your strategy components</div>', unsafe_allow_html=True)
-
-    strategy = st.session_state.strategy
-
-    # Create tabs for different sections
-    tab1, tab2, tab3, tab4, tab5 = st.tabs([
-        "🎯 Goal & Arena",
-        "💡 Insights",
-        "🔬 Hypotheses",
-        "🎬 Moves",
-        "📊 Supporting Metrics"
-    ])
-
-    with tab1:
-        render_goal_arena_form(strategy)
-
-    with tab2:
-        render_insights_form(strategy)
-
-    with tab3:
-        render_hypotheses_form(strategy)
-
-    with tab4:
-        render_moves_form(strategy)
-
-    with tab5:
-        render_metrics_form(strategy)
-
-    # Save/Export buttons
-    st.markdown("---")
-    col1, col2, col3 = st.columns([1, 1, 2])
-
-    with col1:
-        if st.button("💾 Save Strategy", use_container_width=True):
-            save_strategy()
-
-    with col2:
-        if st.button("📥 Export JSON", use_container_width=True):
-            export_strategy_json()
-
-
-def render_goal_arena_form(strategy):
-    """Render goal and arena input form"""
-    st.subheader("Goal Definition")
-
-    col1, col2 = st.columns(2)
-
-    with col1:
-        goal_text = st.text_area(
-            "Goal Statement",
-            value=strategy.goal.text if strategy.goal else "",
-            help="What do you want to achieve?"
-        )
-
-        metric_id = st.text_input(
-            "Metric ID",
-            value=strategy.goal.metric if strategy.goal else "",
-            help="e.g., share_premium, CR_online"
-        )
-
-        horizon = st.text_input(
-            "Time Horizon",
-            value=strategy.goal.horizon if strategy.goal else "2026",
-            help="When do you want to achieve this?"
-        )
-
-    with col2:
-        baseline = st.number_input(
-            "Baseline Value",
-            value=float(strategy.goal.baseline) if strategy.goal else 0.0,
-            help="Current value"
-        )
-
-        target = st.number_input(
-            "Target Value",
-            value=float(strategy.goal.target) if strategy.goal else 0.0,
-            help="Desired value"
-        )
-
-        unit = st.text_input(
-            "Unit",
-            value=strategy.goal.unit if strategy.goal else "%",
-            help="Unit of measurement (e.g., %, pts, PLN)"
-        )
-
-    if st.button("Save Goal"):
-        strategy.goal = Goal(
-            text=goal_text,
-            metric=metric_id,
-            baseline=baseline,
-            target=target,
-            horizon=horizon,
-            unit=unit
-        )
-        st.success("Goal saved!")
-
-    st.markdown("---")
-    st.subheader("Arena Definition")
-
-    col1, col2 = st.columns(2)
-
-    with col1:
-        market = st.text_input(
-            "Market",
-            value=strategy.arena.market if strategy.arena else "",
-            help="e.g., PL, EU, US"
-        )
-
-        category = st.text_input(
-            "Category",
-            value=strategy.arena.category if strategy.arena else "",
-            help="e.g., pasta_premium, skincare"
-        )
-
-        target_audience = st.text_area(
-            "Target Audience",
-            value=strategy.arena.target_audience if strategy.arena else "",
-            help="Describe your target audience (demographics, psychographics, behaviors)"
-        )
-
-    with col2:
-        competitors_text = st.text_area(
-            "Competitors (one per line)",
-            value="\n".join(strategy.arena.competitors) if strategy.arena else "",
-            help="List your main competitors"
-        )
-
-    if st.button("Save Arena"):
-        competitors = [c.strip() for c in competitors_text.split("\n") if c.strip()]
-        strategy.arena = Arena(
-            market=market,
-            category=category,
-            competitors=competitors,
-            target_audience=target_audience
-        )
-        st.success("Arena saved!")
-
-
-def render_insights_form(strategy):
-    """Render insights input form"""
-    st.subheader("Add Insight")
-
-    col1, col2 = st.columns([2, 1])
-
-    with col1:
-        insight_id = st.text_input("Insight ID", help="e.g., i1, i2")
-        insight_text = st.text_area("Insight Statement", help="What did you learn?")
-
-    with col2:
-        evidence_text = st.text_area("Evidence Sources (one per line)", help="e.g., FGI_2024, Survey_Q1")
-
-    if st.button("Add Insight"):
-        if insight_id and insight_text:
-            evidence = [e.strip() for e in evidence_text.split("\n") if e.strip()]
-            strategy.insights.append(Insight(
-                id=insight_id,
-                text=insight_text,
-                evidence=evidence
-            ))
-            st.success(f"Insight {insight_id} added!")
-            st.rerun()
-
-    # Display existing insights
-    if strategy.insights:
-        st.markdown("---")
-        st.subheader("Current Insights")
-        for i, insight in enumerate(strategy.insights):
-            with st.expander(f"{insight.id}: {insight.text[:50]}..."):
-                st.write(f"**Full text:** {insight.text}")
-                st.write(f"**Evidence:** {', '.join(insight.evidence)}")
-                if st.button(f"Remove {insight.id}", key=f"remove_insight_{i}"):
-                    strategy.insights.pop(i)
-                    st.rerun()
-
-
-def render_hypotheses_form(strategy):
-    """Render hypotheses input form"""
-    st.subheader("Add Hypothesis")
-
-    col1, col2 = st.columns([2, 1])
-
-    with col1:
-        hyp_id = st.text_input("Hypothesis ID", help="e.g., h1, h2")
-        hyp_text = st.text_area("Hypothesis Statement", help="What do you believe will happen?")
-
-        # Insight selector
-        insight_ids = [i.id for i in strategy.insights]
-        based_on = st.multiselect("Based on Insights", insight_ids)
-
-    with col2:
-        metric_id = st.text_input("Target Metric ID", help="Which metric will this affect?")
-        expected_change = st.number_input("Expected Change", value=0.0, step=0.01, help="Expected change (e.g., 0.2 for +20%)")
-
-    if st.button("Add Hypothesis"):
-        if hyp_id and hyp_text:
-            strategy.hypotheses.append(Hypothesis(
-                id=hyp_id,
-                text=hyp_text,
-                based_on=based_on,
-                metric=metric_id,
-                expected_change=expected_change
-            ))
-            st.success(f"Hypothesis {hyp_id} added!")
-            st.rerun()
-
-    # Display existing hypotheses
-    if strategy.hypotheses:
-        st.markdown("---")
-        st.subheader("Current Hypotheses")
-        for i, hyp in enumerate(strategy.hypotheses):
-            with st.expander(f"{hyp.id}: {hyp.text[:50]}..."):
-                st.write(f"**Full text:** {hyp.text}")
-                st.write(f"**Based on:** {', '.join(hyp.based_on)}")
-                st.write(f"**Metric:** {hyp.metric} | **Expected change:** {hyp.expected_change}")
-                if st.button(f"Remove {hyp.id}", key=f"remove_hyp_{i}"):
-                    strategy.hypotheses.pop(i)
-                    st.rerun()
-
-
-def render_moves_form(strategy):
-    """Render moves input form"""
-    st.subheader("Add Move")
-
-    col1, col2 = st.columns([2, 1])
-
-    with col1:
-        move_id = st.text_input("Move ID", help="e.g., m1, m2")
-        move_text = st.text_area("Move Description", help="What action will you take?")
-
-        # Hypothesis selector
-        hyp_ids = [h.id for h in strategy.hypotheses]
-        linked_hyp = st.selectbox("Linked Hypothesis", [""] + hyp_ids)
-
-    with col2:
-        impact = st.slider("Impact", 0.0, 1.0, 0.5, 0.05, help="Expected impact (0-1)")
-        fit = st.slider("Fit", 0.0, 1.0, 0.8, 0.05, help="Fit with strategy (0-1)")
-        risk = st.slider("Risk", 0.0, 1.0, 0.3, 0.05, help="Risk level (0-1)")
-        cost = st.number_input("Cost", value=100000.0, step=10000.0, help="Cost in currency")
-
-    if st.button("Add Move"):
-        if move_id and move_text and linked_hyp:
-            strategy.moves.append(Move(
-                id=move_id,
-                text=move_text,
-                linked_hypothesis=linked_hyp,
-                impact=impact,
-                fit=fit,
-                risk=risk,
-                cost=cost
-            ))
-            st.success(f"Move {move_id} added!")
-            st.rerun()
-
-    # Display existing moves
-    if strategy.moves:
-        st.markdown("---")
-        st.subheader("Current Moves")
-        for i, move in enumerate(strategy.moves):
-            with st.expander(f"{move.id}: {move.text[:50]}..."):
-                st.write(f"**Full text:** {move.text}")
-                st.write(f"**Linked hypothesis:** {move.linked_hypothesis}")
-                col1, col2, col3, col4 = st.columns(4)
-                col1.metric("Impact", f"{move.impact:.2f}")
-                col2.metric("Fit", f"{move.fit:.2f}")
-                col3.metric("Risk", f"{move.risk:.2f}")
-                col4.metric("Cost", f"{move.cost:,.0f}")
-                if st.button(f"Remove {move.id}", key=f"remove_move_{i}"):
-                    strategy.moves.pop(i)
-                    st.rerun()
-
-
-def render_metrics_form(strategy):
-    """Render metrics input form"""
-    st.subheader("Add Supporting Metric")
-    st.info("💡 Main goal metric is defined in Goal & Arena tab. Here you add supporting/leading indicator metrics that help track progress.")
-
-    col1, col2 = st.columns([2, 1])
-
-    with col1:
-        metric_id = st.text_input("Metric ID", help="e.g., CR_online, consideration")
-        metric_text = st.text_input("Metric Name", help="Full name of the metric")
-
-    with col2:
-        baseline = st.number_input("Baseline", value=0.0, help="Current value")
-        target = st.number_input("Target", value=0.0, help="Target value")
-        unit = st.text_input("Unit", value="%", help="Unit of measurement")
-
-    if st.button("Add Metric"):
-        if metric_id and metric_text:
-            strategy.metrics.append(Metric(
-                id=metric_id,
-                text=metric_text,
-                baseline=baseline,
-                target=target,
-                unit=unit
-            ))
-            st.success(f"Metric {metric_id} added!")
-            st.rerun()
-
-    # Display existing metrics
-    if strategy.metrics:
-        st.markdown("---")
-        st.subheader("Current Metrics")
-        for i, metric in enumerate(strategy.metrics):
-            with st.expander(f"{metric.id}: {metric.text}"):
-                col1, col2, col3 = st.columns(3)
-                col1.metric("Baseline", f"{metric.baseline}{metric.unit}")
-                col2.metric("Target", f"{metric.target}{metric.unit}")
-                col3.metric("Gap", f"{metric.target - metric.baseline}{metric.unit}")
-                if st.button(f"Remove {metric.id}", key=f"remove_metric_{i}"):
-                    strategy.metrics.pop(i)
-                    st.rerun()
-
-
-def render_simulation():
-    """Render simulation page"""
-    st.markdown('<div class="main-header">Simulation</div>', unsafe_allow_html=True)
-    st.markdown('<div class="sub-header">Run strategy simulation and view results</div>', unsafe_allow_html=True)
-
-    strategy = st.session_state.strategy
-
-    # Check if strategy is ready
-    if not strategy.moves:
-        st.warning("No moves defined. Go to Strategy Builder to add moves.")
-        return
-
-    # Run simulation button
-    if st.button("▶️ Run Simulation", use_container_width=True):
-        with st.spinner("Running simulation..."):
-            results = SimulationEngine.simulate_strategy(strategy)
-            st.session_state.simulation_results = results
-        st.success("Simulation complete!")
-        st.rerun()
-
-    # Display results
-    if st.session_state.simulation_results:
-        results = st.session_state.simulation_results
-
-        # Overall metrics
-        st.subheader("Overall Results")
-        col1, col2, col3 = st.columns(3)
-
-        with col1:
-            st.metric("Total Impact Score", f"{results['total_impact']:.4f}")
-        with col2:
-            st.metric("Number of Moves", len(results['move_scores']))
-        with col3:
-            avg_risk = sum(m['risk'] for m in results['move_scores']) / len(results['move_scores'])
-            st.metric("Average Risk", f"{avg_risk:.2f}")
-
-        # Moves ranking
-        st.markdown("---")
-        st.subheader("Moves Ranking")
-
-        df = SimulationEngine.create_results_dataframe(results)
-        st.dataframe(df, use_container_width=True)
-
-        # Visualizations
-        col1, col2 = st.columns(2)
-
-        with col1:
-            # Bar chart - scores
-            fig_scores = go.Figure()
-            fig_scores.add_trace(go.Bar(
-                x=[m['id'] for m in results['move_scores']],
-                y=[m['score'] for m in results['move_scores']],
-                marker_color='#1e90ff',
-                text=[f"{m['score']:.4f}" for m in results['move_scores']],
-                textposition='auto'
-            ))
-            fig_scores.update_layout(
-                title="Move Scores Ranking",
-                xaxis_title="Move ID",
-                yaxis_title="Score",
-                height=400
-            )
-            st.plotly_chart(fig_scores, use_container_width=True)
-
-        with col2:
-            # Scatter plot - risk vs impact
-            fig_scatter = go.Figure()
-
-            for move in results['move_scores']:
-                fig_scatter.add_trace(go.Scatter(
-                    x=[move['risk']],
-                    y=[move['impact']],
-                    mode='markers+text',
-                    name=move['id'],
-                    text=[move['id']],
-                    textposition="top center",
-                    marker=dict(
-                        size=move['score'] * 100,
-                        color=move['fit'],
-                        colorscale='Blues',
-                        showscale=True,
-                        colorbar=dict(
-                            title=dict(
-                                text="Fit",
-                                font=dict(size=14, color='white'),
-                                side='right'
-                            ),
-                            showticklabels=False,
-                            thickness=15,
-                            len=0.7
-                        )
-                    )
-                ))
-
-            fig_scatter.update_layout(
-                title={
-                    'text': "Risk vs Impact Analysis<br><sub>Bubble size = Score | Color intensity = Fit</sub>",
-                    'x': 0.5,
-                    'xanchor': 'center'
-                },
-                xaxis_title="Risk →",
-                yaxis_title="Impact →",
-                height=400,
-                showlegend=False
-            )
-            st.plotly_chart(fig_scatter, use_container_width=True)
-            st.caption("💡 Larger bubbles = higher score | Darker blue = better fit with strategy")
-
-        # Metric forecasts
-        if results['metric_forecasts']:
-            st.markdown("---")
-            st.subheader("Metric Forecasts")
-
-            for forecast in results['metric_forecasts']:
-                # Highlight main goal metric
-                icon = "🎯" if forecast.get('is_main') else "📊"
-                title_prefix = "MAIN GOAL: " if forecast.get('is_main') else ""
-
-                with st.expander(f"{icon} {title_prefix}{forecast['text']}", expanded=True):
-                    # Metric summary in columns
-                    col1, col2, col3 = st.columns(3)
-
-                    with col1:
-                        st.markdown(f"**Baseline:** {forecast['baseline']}{forecast['unit']}")
-                    with col2:
-                        st.markdown(f"**Forecast:** <span style='color: #1e90ff; font-weight: bold;'>{forecast['forecast']}{forecast['unit']}</span>", unsafe_allow_html=True)
-                    with col3:
-                        gap_color = 'red' if forecast['gap_to_target'] > 0 else 'green'
-                        st.markdown(f"**Gap to Target:** <span style='color: {gap_color}; font-weight: bold;'>{forecast['gap_to_target']:+.2f}{forecast['unit']}</span>", unsafe_allow_html=True)
-
-                    st.markdown("")  # spacing
-
-                    # Show linked hypotheses
-                    if forecast.get('linked_hypotheses'):
-                        st.markdown(f"**Linked Hypotheses:** {', '.join(forecast['linked_hypotheses'])}")
-
-                    # Show contributing moves breakdown
-                    if forecast.get('linked_moves'):
-                        st.markdown("**Contributing Moves:**")
-                        if len(forecast['linked_moves']) == 0:
-                            st.info("⚠️ No moves linked to this metric")
-                        else:
-                            for move in forecast['linked_moves']:
-                                contribution = move['score'] * forecast['baseline']
-                                st.markdown(f"- **{move['id']}**: {move['text'][:60]}... (score: {move['score']:.4f}, contribution: +{contribution:.2f}{forecast['unit']})")
-                    else:
-                        st.info("⚠️ No moves linked to this metric")
-
-        # Recommendations
-        if results['recommendations']:
-            st.markdown("---")
-            st.subheader("Recommendations")
-            for rec in results['recommendations']:
-                st.info(rec)
-
-        # Strategy graph visualization
-        st.markdown("---")
-        st.subheader("Strategy Logic Flow")
-        render_strategy_graph(strategy)
-
-
-def render_strategy_graph(strategy):
-    """Render NetworkX graph of strategy logic"""
-    G = nx.DiGraph()
-
-    # Add nodes
-    for insight in strategy.insights:
-        G.add_node(insight.id, type='insight', label=insight.text[:30])
-
-    for hyp in strategy.hypotheses:
-        G.add_node(hyp.id, type='hypothesis', label=hyp.text[:30])
-
-    for move in strategy.moves:
-        G.add_node(move.id, type='move', label=move.text[:30])
-
-    for metric in strategy.metrics:
-        G.add_node(metric.id, type='metric', label=metric.text[:30])
-
-    # Add edges
-    for hyp in strategy.hypotheses:
-        for insight_id in hyp.based_on:
-            if G.has_node(insight_id):
-                G.add_edge(insight_id, hyp.id)
-        if G.has_node(hyp.metric):
-            G.add_edge(hyp.id, hyp.metric)
-
-    for move in strategy.moves:
-        if G.has_node(move.linked_hypothesis):
-            G.add_edge(move.linked_hypothesis, move.id)
-
-    # Draw graph
-    fig, ax = plt.subplots(figsize=(12, 8))
-    pos = nx.spring_layout(G, k=2, iterations=50)
-
-    # Color nodes by type
-    node_colors = []
-    for node in G.nodes():
-        node_type = G.nodes[node].get('type', '')
-        if node_type == 'insight':
-            node_colors.append('#90EE90')
-        elif node_type == 'hypothesis':
-            node_colors.append('#FFD700')
-        elif node_type == 'move':
-            node_colors.append('#1e90ff')
-        elif node_type == 'metric':
-            node_colors.append('#FF6B6B')
-        else:
-            node_colors.append('#CCCCCC')
-
-    nx.draw(G, pos, ax=ax, node_color=node_colors, node_size=2000,
-            with_labels=True, font_size=8, font_weight='bold',
-            arrows=True, arrowsize=20, edge_color='#999999', width=2)
-
-    ax.set_title("Strategy Logic Flow\n(Green=Insight, Yellow=Hypothesis, Blue=Move, Red=Metric)",
-                 fontsize=12, fontweight='bold')
-
-    st.pyplot(fig)
-
-
-def render_ai_evaluator():
-    """Render AI evaluator page"""
-    st.markdown('<div class="main-header">AI Evaluator</div>', unsafe_allow_html=True)
-    st.markdown('<div class="sub-header">Get brutally honest AI audit of your strategy</div>', unsafe_allow_html=True)
-
-    strategy = st.session_state.strategy
-
-    # Check API key
-    if not st.session_state.openai_api_key:
-        st.warning("Please configure your OpenAI API key in the sidebar.")
-        return
-
-    # Check if strategy is ready
-    if not strategy.goal or not strategy.moves:
-        st.warning("Strategy is incomplete. Please define at least a goal and some moves.")
-        return
-
-    # Display current strategy summary
-    st.subheader("Strategy Summary")
-    st.write(f"**Goal:** {strategy.goal.text}")
-    st.write(f"**Insights:** {len(strategy.insights)}")
-    st.write(f"**Hypotheses:** {len(strategy.hypotheses)}")
-    st.write(f"**Moves:** {len(strategy.moves)}")
-
-    st.markdown("---")
-
-    # Ask AI button
-    st.info("⚠️ This AI audit will be brutally honest - expect specific criticism, red flags, and concrete fixes (not polite suggestions).")
-    if st.button("🤖 Run Strategy Audit", use_container_width=True):
-        with st.spinner("AI is auditing your strategy..."):
-            feedback = get_ai_evaluation(strategy)
-            st.session_state.ai_feedback = feedback
-        st.rerun()
-
-    # Display AI feedback
-    if st.session_state.ai_feedback:
-        st.markdown("---")
-        st.subheader("🔍 Strategy Audit Report")
-        st.markdown(st.session_state.ai_feedback)
-
-
-def get_ai_evaluation(strategy: Strategy) -> str:
-    """Call OpenAI API to evaluate strategy"""
-    try:
-        client = OpenAI(api_key=st.session_state.openai_api_key)
-
-        # Prepare strategy data
-        strategy_json = json.dumps(strategy.to_dict(), indent=2, ensure_ascii=False)
-
-        # Create prompt
-        prompt = f"""You are a ruthlessly analytical strategy evaluator. Your job is to find weaknesses, gaps, and risks - not to be polite.
-
-IMPORTANT: Detect the language of the strategy below and respond in THE SAME LANGUAGE.
-If the strategy is in Polish, respond in Polish. If in English, respond in English.
-
-Analyze this strategy with BRUTAL honesty:
-
-Strategy:
-```json
-{strategy_json}
-```
-
-Your evaluation MUST include:
-
-## 1. LOGICAL FLOW AUDIT (Score: X/10)
-- Map exact connections: Which insights feed which hypotheses? Which hypotheses feed which moves?
-- RED FLAGS: List any broken links (e.g., "Move m3 links to h2, but h2 doesn't target the main goal metric")
-- ORPHANS: Are there insights/hypotheses not connected to any moves? List them by ID.
-
-## 2. HYPOTHESIS QUALITY CHECK
-For EACH hypothesis (h1, h2, h3, h4...):
-- Is expected_change realistic? (Compare to industry benchmarks if known)
-- Is the metric actually measurable? How would you track it?
-- RED FLAG if hypothesis is vague or unmeasurable
-
-## 3. MOVE PORTFOLIO ANALYSIS
-- Cost concentration: What % of budget goes to top move? (Flag if >40%)
-- Risk profile: How many high-risk moves (risk >0.6)?
-- MISSING MOVES: What obvious actions are NOT here? (e.g., "No paid search strategy despite digital focus")
-- Prioritization: Using score formula, which moves should be CUT? Be specific with IDs.
-
-## 4. GAP ANALYSIS - What's MISSING?
-- Competitive response: How will competitors react? No moves addressing this?
-- Measurement plan: How will you track these metrics in reality?
-- Budget realism: Total cost vs. expected revenue/impact - does math work?
-- Timeline: Are moves sequenced or all at once? Flag if unclear.
-
-## 5. TOP 3 FATAL FLAWS
-List the 3 biggest risks that could KILL this strategy. Be specific:
-- "Move m6 costs 150k but has lowest score (X.XX) - CUT IT"
-- "No B2B distribution strategy despite targeting gyms/studios"
-- "Hypothesis h2 assumes 30% trial rate but category average is 8%"
-
-## 6. ACTIONABLE FIXES (Prioritized)
-🔴 CRITICAL (do NOW):
-- Specific change with exact ID reference (e.g., "Change h3 expected_change from 0.45 to 0.25")
-
-🟡 IMPORTANT (before launch):
-- Concrete additions (e.g., "Add move m7: Partnership with Żabka for distribution")
-
-🟢 NICE TO HAVE:
-- Optimizations
-
-NO GENERIC ADVICE like "consider research" or "might want to test". Give SPECIFIC actions with IDs, numbers, and rationale.
-
-Remember: RESPOND IN THE SAME LANGUAGE AS THE STRATEGY. Be direct, numerical, and reference specific IDs.
-"""
-
-        # Call API
-        response = client.chat.completions.create(
-            model="gpt-4",
-            messages=[
-                {"role": "system", "content": "You are a ruthlessly honest strategy auditor. Find flaws, gaps, and risks. Reference specific IDs and numbers. Always respond in the same language as the user's input."},
-                {"role": "user", "content": prompt}
-            ],
-            temperature=0.5,
-            max_tokens=2500
-        )
-
-        return response.choices[0].message.content
-
-    except Exception as e:
-        return f"Error calling OpenAI API: {str(e)}\n\nPlease check your API key and try again."
-
-
-def render_report():
-    """Render report generation page"""
-    st.markdown('<div class="main-header">Strategy Report</div>', unsafe_allow_html=True)
-    st.markdown('<div class="sub-header">View and export your complete strategy</div>', unsafe_allow_html=True)
-
-    strategy = st.session_state.strategy
-
-    if not strategy.goal:
-        st.warning("No strategy to report. Go to Strategy Builder first.")
-        return
-
-    # Generate report
-    report = generate_report(strategy)
-
-    # Display report
-    st.markdown(report)
-
-    # Export buttons
-    st.markdown("---")
-    col1, col2 = st.columns(2)
-
-    with col1:
-        st.download_button(
-            label="📄 Download as Markdown",
-            data=report,
-            file_name=f"strategy_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md",
-            mime="text/markdown",
-            use_container_width=True
-        )
-
-    with col2:
-        json_data = json.dumps(strategy.to_dict(), indent=2, ensure_ascii=False)
-        st.download_button(
-            label="📥 Download as JSON",
-            data=json_data,
-            file_name=f"strategy_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
-            mime="application/json",
-            use_container_width=True
-        )
-
-
-def generate_report(strategy: Strategy) -> str:
-    """Generate markdown report from strategy"""
-    report = f"""# Strategic Sandbox Report
-*Generated on {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*
-
----
-
-## 🎯 Goal
-
-**{strategy.goal.text if strategy.goal else 'Not defined'}**
-
-"""
-
-    if strategy.goal:
-        report += f"""
-- **Metric:** {strategy.goal.metric}
-- **Baseline:** {strategy.goal.baseline}{strategy.goal.unit}
-- **Target:** {strategy.goal.target}{strategy.goal.unit}
-- **Horizon:** {strategy.goal.horizon}
-- **Unit:** {strategy.goal.unit}
-"""
-
-    if strategy.arena:
-        report += f"""
----
-
-## 🗺️ Arena
-
-- **Market:** {strategy.arena.market}
-- **Category:** {strategy.arena.category}
-- **Target Audience:** {strategy.arena.target_audience}
-- **Competitors:** {', '.join(strategy.arena.competitors)}
-"""
-
-    if strategy.insights:
-        report += "\n---\n\n## 💡 Insights\n\n"
-        for insight in strategy.insights:
-            report += f"### {insight.id}\n{insight.text}\n\n*Evidence: {', '.join(insight.evidence)}*\n\n"
-
-    if strategy.hypotheses:
-        report += "---\n\n## 🔬 Hypotheses\n\n"
-        for hyp in strategy.hypotheses:
-            report += f"### {hyp.id}\n{hyp.text}\n\n"
-            report += f"- Based on: {', '.join(hyp.based_on)}\n"
-            report += f"- Metric: {hyp.metric}\n"
-            report += f"- Expected change: {hyp.expected_change}\n\n"
-
-    if strategy.moves:
-        report += "---\n\n## 🎬 Moves\n\n"
-        for move in strategy.moves:
-            report += f"### {move.id}: {move.text}\n\n"
-            report += f"- Linked hypothesis: {move.linked_hypothesis}\n"
-            report += f"- Impact: {move.impact} | Fit: {move.fit} | Risk: {move.risk}\n"
-            report += f"- Cost: {move.cost:,.0f}\n\n"
-
-    if strategy.metrics:
-        report += "---\n\n## 📊 Supporting Metrics\n\n"
-        for metric in strategy.metrics:
-            report += f"### {metric.id}: {metric.text}\n"
-            report += f"- Baseline: {metric.baseline}{metric.unit}\n"
-            report += f"- Target: {metric.target}{metric.unit}\n\n"
-
-    # Add simulation results if available
-    if st.session_state.simulation_results:
-        results = st.session_state.simulation_results
-        report += "---\n\n## 📈 Simulation Results\n\n"
-        report += f"**Total Impact Score:** {results['total_impact']:.4f}\n\n"
-
-        report += "### Move Rankings\n\n"
-        for move in results['move_scores']:
-            report += f"- **{move['id']}**: Score {move['score']:.4f} (Impact: {move['impact']}, Risk: {move['risk']}, Cost: {move['cost']:,.0f})\n"
-
-    # Add AI feedback if available
-    if st.session_state.ai_feedback:
-        report += "\n---\n\n## 🤖 AI Evaluation\n\n"
-        report += st.session_state.ai_feedback
-
-    report += "\n\n---\n\n*Generated with Strategic Sandbox v1.0*\n"
-    report += "*🤖 Generated with [Claude Code](https://claude.com/claude-code)*\n"
-
-    return report
-
-
-def save_strategy():
-    """Save strategy to JSON file"""
-    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
-    filename = f"data/strategy_{timestamp}.json"
-    st.session_state.strategy.to_json(filename)
-    st.success(f"Strategy saved to {filename}")
-
-
-def export_strategy_json():
-    """Export strategy as downloadable JSON"""
-    json_data = json.dumps(st.session_state.strategy.to_dict(), indent=2, ensure_ascii=False)
-    st.download_button(
-        label="Download JSON",
-        data=json_data,
-        file_name=f"strategy_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
-        mime="application/json"
-    )
-
-
-# Main app
-def main():
-    init_session_state()
-    render_sidebar()
-
-    # Route to appropriate page
-    page = st.session_state.current_page
-
-    if page == "Dashboard":
-        render_dashboard()
-    elif page == "Strategy Builder":
-        render_strategy_builder()
-    elif page == "Simulation":
-        render_simulation()
-    elif page == "AI Evaluator":
-        render_ai_evaluator()
-    elif page == "Report":
-        render_report()
-
-
-if __name__ == "__main__":
-    main()
+"""
+Strategic Sandbox v1.0
+Interactive strategy simulation and evaluation tool
+"""
+
+import streamlit as st
+import json
+import os
+from pathlib import Path
+import pandas as pd
+import plotly.graph_objects as go
+import plotly.express as px
+import networkx as nx
+import matplotlib.pyplot as plt
+from openai import OpenAI
+from datetime import datetime
+
+from strategy_core import (
+    Strategy, Goal, Arena, Insight, Hypothesis, Move, Metric,
+    SimulationEngine
+)
+
+
+# Page configuration
+st.set_page_config(
+    page_title="Strategic Sandbox",
+    page_icon="🎯",
+    layout="wide",
+    initial_sidebar_state="expanded"
+)
+
+# Custom CSS for Heuristica aesthetic
+st.markdown("""
+<style>
+    .main-header {
+        font-size: 2.5rem;
+        font-weight: 600;
+        color: #1e90ff;
+        margin-bottom: 0.5rem;
+    }
+    .sub-header {
+        font-size: 1.2rem;
+        color: #666;
+        margin-bottom: 2rem;
+    }
+    .metric-card {
+        background-color: #f0f8ff;
+        padding: 1rem;
+        border-radius: 8px;
+        border-left: 4px solid #1e90ff;
+    }
+    .stButton>button {
+        background-color: #1e90ff;
+        color: white;
+        border-radius: 6px;
+        border: none;
+        padding: 0.5rem 1.5rem;
+        font-weight: 500;
+    }
+    .stButton>button:hover {
+        background-color: #187bcd;
+    }
+</style>
+""", unsafe_allow_html=True)
+
+
+# Initialize session state
+def init_session_state():
+    """Initialize all session state variables"""
+    if 'strategy' not in st.session_state:
+        st.session_state.strategy = Strategy()
+    if 'simulation_results' not in st.session_state:
+        st.session_state.simulation_results = None
+    if 'ai_feedback' not in st.session_state:
+        st.session_state.ai_feedback = None
+    if 'openai_api_key' not in st.session_state:
+        st.session_state.openai_api_key = ""
+    if 'current_page' not in st.session_state:
+        st.session_state.current_page = "Dashboard"
+
+
+def save_api_key():
+    """Save API key to local file for persistence"""
+    key_file = Path("data/.api_key")
+    key_file.parent.mkdir(exist_ok=True)
+    with open(key_file, 'w') as f:
+        f.write(st.session_state.openai_api_key)
+
+
+def load_api_key():
+    """Load API key from local file"""
+    key_file = Path("data/.api_key")
+    if key_file.exists():
+        with open(key_file, 'r') as f:
+            return f.read().strip()
+    return ""
+
+
+def render_sidebar():
+    """Render sidebar with navigation and API key input"""
+    with st.sidebar:
+        st.markdown('<div class="main-header">🎯 Strategic Sandbox</div>', unsafe_allow_html=True)
+        st.markdown("**v1.0** - Strategy Simulation Tool")
+        st.markdown("---")
+
+        # API Key input
+        st.subheader("OpenAI Configuration")
+
+        # Load saved key if available
+        if not st.session_state.openai_api_key:
+            st.session_state.openai_api_key = load_api_key()
+
+        api_key = st.text_input(
+            "API Key",
+            value=st.session_state.openai_api_key,
+            type="password",
+            help="Your OpenAI API key will be saved locally"
+        )
+
+        if api_key != st.session_state.openai_api_key:
+            st.session_state.openai_api_key = api_key
+            save_api_key()
+            if api_key:
+                st.success("API Key saved!")
+
+        st.markdown("---")
+
+        # Navigation
+        st.subheader("Navigation")
+        pages = ["Dashboard", "Strategy Builder", "Simulation", "AI Evaluator", "Report"]
+
+        for page in pages:
+            if st.button(page, key=f"nav_{page}", use_container_width=True):
+                st.session_state.current_page = page
+                st.rerun()
+
+        st.markdown("---")
+
+        # Quick actions
+        st.subheader("Quick Actions")
+
+        col1, col2 = st.columns(2)
+        with col1:
+            if st.button("📁 Load Example", use_container_width=True):
+                load_example_strategy()
+                st.success("Example loaded!")
+                st.rerun()
+
+        with col2:
+            if st.button("🔄 Reset", use_container_width=True):
+                st.session_state.strategy = Strategy()
+                st.session_state.simulation_results = None
+                st.session_state.ai_feedback = None
+                st.success("Strategy reset!")
+                st.rerun()
+
+
+def load_example_strategy():
+    """Load example strategy from JSON"""
+    example_path = Path("data/example.json")
+    if example_path.exists():
+        st.session_state.strategy = Strategy.from_json(str(example_path))
+
+
+def render_dashboard():
+    """Render dashboard page"""
+    st.markdown('<div class="main-header">Dashboard</div>', unsafe_allow_html=True)
+    st.markdown('<div class="sub-header">Strategic overview and quick start</div>', unsafe_allow_html=True)
+
+    # Quick stats
+    col1, col2, col3, col4 = st.columns(4)
+
+    strategy = st.session_state.strategy
+
+    with col1:
+        st.metric("Insights", len(strategy.insights))
+    with col2:
+        st.metric("Hypotheses", len(strategy.hypotheses))
+    with col3:
+        st.metric("Moves", len(strategy.moves))
+    with col4:
+        st.metric("Metrics", len(strategy.metrics))
+
+    st.markdown("---")
+
+    # Strategy overview
+    if strategy.goal:
+        st.subheader("Current Goal")
+        st.info(f"**{strategy.goal.text}**\n\nTarget: {strategy.goal.target}{strategy.metrics[0].unit if strategy.metrics else ''} by {strategy.goal.horizon}")
+    else:
+        st.warning("No strategy defined yet. Go to **Strategy Builder** to start.")
+
+    # Recent simulation results
+    if st.session_state.simulation_results:
+        st.subheader("Latest Simulation Results")
+        results = st.session_state.simulation_results
+
+        col1, col2 = st.columns(2)
+        with col1:
+            st.metric("Total Impact Score", f"{results['total_impact']:.4f}")
+        with col2:
+            if results['move_scores']:
+                top_move = results['move_scores'][0]
+                st.metric("Top Move", top_move['text'], f"Score: {top_move['score']:.4f}")
+
+    # Quick start guide
+    st.markdown("---")
+    st.subheader("Quick Start Guide")
+
+    st.markdown("""
+    1. **Strategy Builder**: Define your goal, insights, hypotheses, and moves
+    2. **Simulation**: Run scoring simulation to evaluate moves
+    3. **AI Evaluator**: Get AI feedback on strategy coherence
+    4. **Report**: Generate and export your strategy report
+    """)
+
+
+def render_strategy_builder():
+    """Render strategy builder page with forms"""
+    st.markdown('<div class="main-header">Strategy Builder</div>', unsafe_allow_html=True)
+    st.markdown('<div class="sub-header">Define your strategy components</div>', unsafe_allow_html=True)
+
+    strategy = st.session_state.strategy
+
+    # Create tabs for different sections
+    tab1, tab2, tab3, tab4, tab5 = st.tabs([
+        "🎯 Goal & Arena",
+        "💡 Insights",
+        "🔬 Hypotheses",
+        "🎬 Moves",
+        "📊 Supporting Metrics"
+    ])
+
+    with tab1:
+        render_goal_arena_form(strategy)
+
+    with tab2:
+        render_insights_form(strategy)
+
+    with tab3:
+        render_hypotheses_form(strategy)
+
+    with tab4:
+        render_moves_form(strategy)
+
+    with tab5:
+        render_metrics_form(strategy)
+
+    # Save/Export buttons
+    st.markdown("---")
+    col1, col2, col3 = st.columns([1, 1, 2])
+
+    with col1:
+        if st.button("💾 Save Strategy", use_container_width=True):
+            save_strategy()
+
+    with col2:
+        if st.button("📥 Export JSON", use_container_width=True):
+            export_strategy_json()
+
+
+def render_goal_arena_form(strategy):
+    """Render goal and arena input form"""
+    st.subheader("Goal Definition")
+
+    col1, col2 = st.columns(2)
+
+    with col1:
+        goal_text = st.text_area(
+            "Goal Statement",
+            value=strategy.goal.text if strategy.goal else "",
+            help="What do you want to achieve?"
+        )
+
+        metric_id = st.text_input(
+            "Metric ID",
+            value=strategy.goal.metric if strategy.goal else "",
+            help="e.g., share_premium, CR_online"
+        )
+
+        horizon = st.text_input(
+            "Time Horizon",
+            value=strategy.goal.horizon if strategy.goal else "2026",
+            help="When do you want to achieve this?"
+        )
+
+    with col2:
+        baseline = st.number_input(
+            "Baseline Value",
+            value=float(strategy.goal.baseline) if strategy.goal else 0.0,
+            help="Current value"
+        )
+
+        target = st.number_input(
+            "Target Value",
+            value=float(strategy.goal.target) if strategy.goal else 0.0,
+            help="Desired value"
+        )
+
+        unit = st.text_input(
+            "Unit",
+            value=strategy.goal.unit if strategy.goal else "%",
+            help="Unit of measurement (e.g., %, pts, PLN)"
+        )
+
+    if st.button("Save Goal"):
+        strategy.goal = Goal(
+            text=goal_text,
+            metric=metric_id,
+            baseline=baseline,
+            target=target,
+            horizon=horizon,
+            unit=unit
+        )
+        st.success("Goal saved!")
+
+    st.markdown("---")
+    st.subheader("Arena Definition")
+
+    col1, col2 = st.columns(2)
+
+    with col1:
+        market = st.text_input(
+            "Market",
+            value=strategy.arena.market if strategy.arena else "",
+            help="e.g., PL, EU, US"
+        )
+
+        category = st.text_input(
+            "Category",
+            value=strategy.arena.category if strategy.arena else "",
+            help="e.g., pasta_premium, skincare"
+        )
+
+        target_audience = st.text_area(
+            "Target Audience",
+            value=strategy.arena.target_audience if strategy.arena else "",
+            help="Describe your target audience (demographics, psychographics, behaviors)"
+        )
+
+    with col2:
+        competitors_text = st.text_area(
+            "Competitors (one per line)",
+            value="\n".join(strategy.arena.competitors) if strategy.arena else "",
+            help="List your main competitors"
+        )
+
+    if st.button("Save Arena"):
+        competitors = [c.strip() for c in competitors_text.split("\n") if c.strip()]
+        strategy.arena = Arena(
+            market=market,
+            category=category,
+            competitors=competitors,
+            target_audience=target_audience
+        )
+        st.success("Arena saved!")
+
+
+def render_insights_form(strategy):
+    """Render insights input form"""
+    st.subheader("Add Insight")
+
+    col1, col2 = st.columns([2, 1])
+
+    with col1:
+        insight_id = st.text_input("Insight ID", help="e.g., i1, i2")
+        insight_text = st.text_area("Insight Statement", help="What did you learn?")
+
+    with col2:
+        evidence_text = st.text_area("Evidence Sources (one per line)", help="e.g., FGI_2024, Survey_Q1")
+
+    if st.button("Add Insight"):
+        if insight_id and insight_text:
+            evidence = [e.strip() for e in evidence_text.split("\n") if e.strip()]
+            strategy.insights.append(Insight(
+                id=insight_id,
+                text=insight_text,
+                evidence=evidence
+            ))
+            st.success(f"Insight {insight_id} added!")
+            st.rerun()
+
+    # Display existing insights
+    if strategy.insights:
+        st.markdown("---")
+        st.subheader("Current Insights")
+        for i, insight in enumerate(strategy.insights):
+            with st.expander(f"{insight.id}: {insight.text[:50]}..."):
+                st.write(f"**Full text:** {insight.text}")
+                st.write(f"**Evidence:** {', '.join(insight.evidence)}")
+                if st.button(f"Remove {insight.id}", key=f"remove_insight_{i}"):
+                    strategy.insights.pop(i)
+                    st.rerun()
+
+
+def render_hypotheses_form(strategy):
+    """Render hypotheses input form"""
+    st.subheader("Add Hypothesis")
+
+    col1, col2 = st.columns([2, 1])
+
+    with col1:
+        hyp_id = st.text_input("Hypothesis ID", help="e.g., h1, h2")
+        hyp_text = st.text_area("Hypothesis Statement", help="What do you believe will happen?")
+
+        # Insight selector
+        insight_ids = [i.id for i in strategy.insights]
+        based_on = st.multiselect("Based on Insights", insight_ids)
+
+    with col2:
+        metric_id = st.text_input("Target Metric ID", help="Which metric will this affect?")
+        expected_change = st.number_input("Expected Change", value=0.0, step=0.01, help="Expected change (e.g., 0.2 for +20%)")
+
+    if st.button("Add Hypothesis"):
+        if hyp_id and hyp_text:
+            strategy.hypotheses.append(Hypothesis(
+                id=hyp_id,
+                text=hyp_text,
+                based_on=based_on,
+                metric=metric_id,
+                expected_change=expected_change
+            ))
+            st.success(f"Hypothesis {hyp_id} added!")
+            st.rerun()
+
+    # Display existing hypotheses
+    if strategy.hypotheses:
+        st.markdown("---")
+        st.subheader("Current Hypotheses")
+        for i, hyp in enumerate(strategy.hypotheses):
+            with st.expander(f"{hyp.id}: {hyp.text[:50]}..."):
+                st.write(f"**Full text:** {hyp.text}")
+                st.write(f"**Based on:** {', '.join(hyp.based_on)}")
+                st.write(f"**Metric:** {hyp.metric} | **Expected change:** {hyp.expected_change}")
+                if st.button(f"Remove {hyp.id}", key=f"remove_hyp_{i}"):
+                    strategy.hypotheses.pop(i)
+                    st.rerun()
+
+
+def render_moves_form(strategy):
+    """Render moves input form"""
+    st.subheader("Add Move")
+
+    col1, col2 = st.columns([2, 1])
+
+    with col1:
+        move_id = st.text_input("Move ID", help="e.g., m1, m2")
+        move_text = st.text_area("Move Description", help="What action will you take?")
+
+        # Hypothesis selector
+        hyp_ids = [h.id for h in strategy.hypotheses]
+        linked_hyp = st.selectbox("Linked Hypothesis", [""] + hyp_ids)
+
+    with col2:
+        impact = st.slider("Impact", 0.0, 1.0, 0.5, 0.05, help="Expected impact (0-1)")
+        fit = st.slider("Fit", 0.0, 1.0, 0.8, 0.05, help="Fit with strategy (0-1)")
+        risk = st.slider("Risk", 0.0, 1.0, 0.3, 0.05, help="Risk level (0-1)")
+        cost = st.number_input("Cost", value=100000.0, step=10000.0, help="Cost in currency")
+
+    if st.button("Add Move"):
+        if move_id and move_text and linked_hyp:
+            strategy.moves.append(Move(
+                id=move_id,
+                text=move_text,
+                linked_hypothesis=linked_hyp,
+                impact=impact,
+                fit=fit,
+                risk=risk,
+                cost=cost
+            ))
+            st.success(f"Move {move_id} added!")
+            st.rerun()
+
+    # Display existing moves
+    if strategy.moves:
+        st.markdown("---")
+        st.subheader("Current Moves")
+        for i, move in enumerate(strategy.moves):
+            with st.expander(f"{move.id}: {move.text[:50]}..."):
+                st.write(f"**Full text:** {move.text}")
+                st.write(f"**Linked hypothesis:** {move.linked_hypothesis}")
+                col1, col2, col3, col4 = st.columns(4)
+                col1.metric("Impact", f"{move.impact:.2f}")
+                col2.metric("Fit", f"{move.fit:.2f}")
+                col3.metric("Risk", f"{move.risk:.2f}")
+                col4.metric("Cost", f"{move.cost:,.0f}")
+                if st.button(f"Remove {move.id}", key=f"remove_move_{i}"):
+                    strategy.moves.pop(i)
+                    st.rerun()
+
+
+def render_metrics_form(strategy):
+    """Render metrics input form"""
+    st.subheader("Add Supporting Metric")
+    st.info("💡 Main goal metric is defined in Goal & Arena tab. Here you add supporting/leading indicator metrics that help track progress.")
+
+    col1, col2 = st.columns([2, 1])
+
+    with col1:
+        metric_id = st.text_input("Metric ID", help="e.g., CR_online, consideration")
+        metric_text = st.text_input("Metric Name", help="Full name of the metric")
+
+    with col2:
+        baseline = st.number_input("Baseline", value=0.0, help="Current value")
+        target = st.number_input("Target", value=0.0, help="Target value")
+        unit = st.text_input("Unit", value="%", help="Unit of measurement")
+
+    if st.button("Add Metric"):
+        if metric_id and metric_text:
+            strategy.metrics.append(Metric(
+                id=metric_id,
+                text=metric_text,
+                baseline=baseline,
+                target=target,
+                unit=unit
+            ))
+            st.success(f"Metric {metric_id} added!")
+            st.rerun()
+
+    # Display existing metrics
+    if strategy.metrics:
+        st.markdown("---")
+        st.subheader("Current Metrics")
+        for i, metric in enumerate(strategy.metrics):
+            with st.expander(f"{metric.id}: {metric.text}"):
+                col1, col2, col3 = st.columns(3)
+                col1.metric("Baseline", f"{metric.baseline}{metric.unit}")
+                col2.metric("Target", f"{metric.target}{metric.unit}")
+                col3.metric("Gap", f"{metric.target - metric.baseline}{metric.unit}")
+                if st.button(f"Remove {metric.id}", key=f"remove_metric_{i}"):
+                    strategy.metrics.pop(i)
+                    st.rerun()
+
+
+def render_simulation():
+    """Render simulation page"""
+    st.markdown('<div class="main-header">Simulation</div>', unsafe_allow_html=True)
+    st.markdown('<div class="sub-header">Run strategy simulation and view results</div>', unsafe_allow_html=True)
+
+    strategy = st.session_state.strategy
+
+    # Check if strategy is ready
+    if not strategy.moves:
+        st.warning("No moves defined. Go to Strategy Builder to add moves.")
+        return
+
+    # Run simulation button
+    if st.button("▶️ Run Simulation", use_container_width=True):
+        with st.spinner("Running simulation..."):
+            results = SimulationEngine.simulate_strategy(strategy)
+            st.session_state.simulation_results = results
+        st.success("Simulation complete!")
+
+    # Display results
+    if st.session_state.simulation_results:
+        results = st.session_state.simulation_results
+
+        # Overall metrics
+        st.subheader("Overall Results")
+        col1, col2, col3 = st.columns(3)
+
+        with col1:
+            st.metric("Total Impact Score", f"{results['total_impact']:.4f}")
+        with col2:
+            st.metric("Number of Moves", len(results['move_scores']))
+        with col3:
+            avg_risk = sum(m['risk'] for m in results['move_scores']) / len(results['move_scores'])
+            st.metric("Average Risk", f"{avg_risk:.2f}")
+
+        # Moves ranking
+        st.markdown("---")
+        st.subheader("Moves Ranking")
+
+        df = SimulationEngine.create_results_dataframe(results)
+        st.dataframe(df, use_container_width=True)
+
+        # Visualizations
+        col1, col2 = st.columns(2)
+
+        with col1:
+            # Bar chart - scores
+            fig_scores = go.Figure()
+            fig_scores.add_trace(go.Bar(
+                x=[m['id'] for m in results['move_scores']],
+                y=[m['score'] for m in results['move_scores']],
+                marker_color='#1e90ff',
+                text=[f"{m['score']:.4f}" for m in results['move_scores']],
+                textposition='auto'
+            ))
+            fig_scores.update_layout(
+                title="Move Scores Ranking",
+                xaxis_title="Move ID",
+                yaxis_title="Score",
+                height=400
+            )
+            st.plotly_chart(fig_scores, use_container_width=True)
+
+        with col2:
+            # Scatter plot - risk vs impact
+            fig_scatter = go.Figure()
+
+            for move in results['move_scores']:
+                fig_scatter.add_trace(go.Scatter(
+                    x=[move['risk']],
+                    y=[move['impact']],
+                    mode='markers+text',
+                    name=move['id'],
+                    text=[move['id']],
+                    textposition="top center",
+                    marker=dict(
+                        size=move['score'] * 100,
+                        color=move['fit'],
+                        colorscale='Blues',
+                        showscale=True,
+                        colorbar=dict(
+                            title=dict(
+                                text="Fit",
+                                font=dict(size=14, color='white'),
+                                side='right'
+                            ),
+                            showticklabels=False,
+                            thickness=15,
+                            len=0.7
+                        )
+                    )
+                ))
+
+            fig_scatter.update_layout(
+                title={
+                    'text': "Risk vs Impact Analysis<br><sub>Bubble size = Score | Color intensity = Fit</sub>",
+                    'x': 0.5,
+                    'xanchor': 'center'
+                },
+                xaxis_title="Risk →",
+                yaxis_title="Impact →",
+                height=400,
+                showlegend=False
+            )
+            st.plotly_chart(fig_scatter, use_container_width=True)
+            st.caption("💡 Larger bubbles = higher score | Darker blue = better fit with strategy")
+
+        # Metric forecasts
+        if results['metric_forecasts']:
+            st.markdown("---")
+            st.subheader("Metric Forecasts")
+
+            for forecast in results['metric_forecasts']:
+                # Highlight main goal metric
+                icon = "🎯" if forecast.get('is_main') else "📊"
+                title_prefix = "MAIN GOAL: " if forecast.get('is_main') else ""
+
+                with st.expander(f"{icon} {title_prefix}{forecast['text']}", expanded=True):
+                    # Metric summary in columns
+                    col1, col2, col3 = st.columns(3)
+
+                    with col1:
+                        st.markdown(f"**Baseline:** {forecast['baseline']}{forecast['unit']}")
+                    with col2:
+                        st.markdown(f"**Forecast:** <span style='color: #1e90ff; font-weight: bold;'>{forecast['forecast']}{forecast['unit']}</span>", unsafe_allow_html=True)
+                    with col3:
+                        gap_color = 'red' if forecast['gap_to_target'] > 0 else 'green'
+                        st.markdown(f"**Gap to Target:** <span style='color: {gap_color}; font-weight: bold;'>{forecast['gap_to_target']:+.2f}{forecast['unit']}</span>", unsafe_allow_html=True)
+
+                    st.markdown("")  # spacing
+
+                    # Show linked hypotheses
+                    if forecast.get('linked_hypotheses'):
+                        st.markdown(f"**Linked Hypotheses:** {', '.join(forecast['linked_hypotheses'])}")
+
+                    # Show contributing moves breakdown
+                    if forecast.get('linked_moves'):
+                        st.markdown("**Contributing Moves:**")
+                        if len(forecast['linked_moves']) == 0:
+                            st.info("⚠️ No moves linked to this metric")
+                        else:
+                            for move in forecast['linked_moves']:
+                                contribution = move['score'] * forecast['baseline']
+                                st.markdown(f"- **{move['id']}**: {move['text'][:60]}... (score: {move['score']:.4f}, contribution: +{contribution:.2f}{forecast['unit']})")
+                    else:
+                        st.info("⚠️ No moves linked to this metric")
+
+        # Recommendations
+        if results['recommendations']:
+            st.markdown("---")
+            st.subheader("Recommendations")
+            for rec in results['recommendations']:
+                st.info(rec)
+
+        # Strategy graph visualization
+        st.markdown("---")
+        st.subheader("Strategy Logic Flow")
+        render_strategy_graph(strategy)
+
+
+def render_strategy_graph(strategy):
+    """Render NetworkX graph of strategy logic"""
+    G = nx.DiGraph()
+
+    # Add nodes
+    for insight in strategy.insights:
+        G.add_node(insight.id, type='insight', label=insight.text[:30])
+
+    for hyp in strategy.hypotheses:
+        G.add_node(hyp.id, type='hypothesis', label=hyp.text[:30])
+
+    for move in strategy.moves:
+        G.add_node(move.id, type='move', label=move.text[:30])
+
+    for metric in strategy.metrics:
+        G.add_node(metric.id, type='metric', label=metric.text[:30])
+
+    # Add edges
+    for hyp in strategy.hypotheses:
+        for insight_id in hyp.based_on:
+            if G.has_node(insight_id):
+                G.add_edge(insight_id, hyp.id)
+        if G.has_node(hyp.metric):
+            G.add_edge(hyp.id, hyp.metric)
+
+    for move in strategy.moves:
+        if G.has_node(move.linked_hypothesis):
+            G.add_edge(move.linked_hypothesis, move.id)
+
+    # Draw graph
+    fig, ax = plt.subplots(figsize=(12, 8))
+    pos = nx.spring_layout(G, k=2, iterations=50, seed=42)
+
+    # Color nodes by type
+    node_colors = []
+    for node in G.nodes():
+        node_type = G.nodes[node].get('type', '')
+        if node_type == 'insight':
+            node_colors.append('#90EE90')
+        elif node_type == 'hypothesis':
+            node_colors.append('#FFD700')
+        elif node_type == 'move':
+            node_colors.append('#1e90ff')
+        elif node_type == 'metric':
+            node_colors.append('#FF6B6B')
+        else:
+            node_colors.append('#CCCCCC')
+
+    nx.draw(G, pos, ax=ax, node_color=node_colors, node_size=2000,
+            with_labels=True, font_size=8, font_weight='bold',
+            arrows=True, arrowsize=20, edge_color='#999999', width=2)
+
+    ax.set_title("Strategy Logic Flow\n(Green=Insight, Yellow=Hypothesis, Blue=Move, Red=Metric)",
+                 fontsize=12, fontweight='bold')
+
+    st.pyplot(fig, clear_figure=True)
+
+
+def render_ai_evaluator():
+    """Render AI evaluator page"""
+    st.markdown('<div class="main-header">AI Evaluator</div>', unsafe_allow_html=True)
+    st.markdown('<div class="sub-header">Get brutally honest AI audit of your strategy</div>', unsafe_allow_html=True)
+
+    strategy = st.session_state.strategy
+
+    # Check API key
+    if not st.session_state.openai_api_key:
+        st.warning("Please configure your OpenAI API key in the sidebar.")
+        return
+
+    # Check if strategy is ready
+    if not strategy.goal or not strategy.moves:
+        st.warning("Strategy is incomplete. Please define at least a goal and some moves.")
+        return
+
+    # Display current strategy summary
+    st.subheader("Strategy Summary")
+    st.write(f"**Goal:** {strategy.goal.text}")
+    st.write(f"**Insights:** {len(strategy.insights)}")
+    st.write(f"**Hypotheses:** {len(strategy.hypotheses)}")
+    st.write(f"**Moves:** {len(strategy.moves)}")
+
+    st.markdown("---")
+
+    # Ask AI button
+    st.info("⚠️ This AI audit will be brutally honest - expect specific criticism, red flags, and concrete fixes (not polite suggestions).")
+    if st.button("🤖 Run Strategy Audit", use_container_width=True):
+        with st.spinner("AI is auditing your strategy..."):
+            feedback = get_ai_evaluation(strategy)
+            st.session_state.ai_feedback = feedback
+        st.rerun()
+
+    # Display AI feedback
+    if st.session_state.ai_feedback:
+        st.markdown("---")
+        st.subheader("🔍 Strategy Audit Report")
+        st.markdown(st.session_state.ai_feedback)
+
+
+def get_ai_evaluation(strategy: Strategy) -> str:
+    """Call OpenAI API to evaluate strategy"""
+    try:
+        client = OpenAI(api_key=st.session_state.openai_api_key)
+
+        # Prepare strategy data
+        strategy_json = json.dumps(strategy.to_dict(), indent=2, ensure_ascii=False)
+
+        # Create prompt
+        prompt = f"""You are a ruthlessly analytical strategy evaluator. Your job is to find weaknesses, gaps, and risks - not to be polite.
+
+IMPORTANT: Detect the language of the strategy below and respond in THE SAME LANGUAGE.
+If the strategy is in Polish, respond in Polish. If in English, respond in English.
+
+Analyze this strategy with BRUTAL honesty:
+
+Strategy:
+```json
+{strategy_json}
+```
+
+Your evaluation MUST include:
+
+## 1. LOGICAL FLOW AUDIT (Score: X/10)
+- Map exact connections: Which insights feed which hypotheses? Which hypotheses feed which moves?
+- RED FLAGS: List any broken links (e.g., "Move m3 links to h2, but h2 doesn't target the main goal metric")
+- ORPHANS: Are there insights/hypotheses not connected to any moves? List them by ID.
+
+## 2. HYPOTHESIS QUALITY CHECK
+For EACH hypothesis (h1, h2, h3, h4...):
+- Is expected_change realistic? (Compare to industry benchmarks if known)
+- Is the metric actually measurable? How would you track it?
+- RED FLAG if hypothesis is vague or unmeasurable
+
+## 3. MOVE PORTFOLIO ANALYSIS
+- Cost concentration: What % of budget goes to top move? (Flag if >40%)
+- Risk profile: How many high-risk moves (risk >0.6)?
+- MISSING MOVES: What obvious actions are NOT here? (e.g., "No paid search strategy despite digital focus")
+- Prioritization: Using score formula, which moves should be CUT? Be specific with IDs.
+
+## 4. GAP ANALYSIS - What's MISSING?
+- Competitive response: How will competitors react? No moves addressing this?
+- Measurement plan: How will you track these metrics in reality?
+- Budget realism: Total cost vs. expected revenue/impact - does math work?
+- Timeline: Are moves sequenced or all at once? Flag if unclear.
+
+## 5. TOP 3 FATAL FLAWS
+List the 3 biggest risks that could KILL this strategy. Be specific:
+- "Move m6 costs 150k but has lowest score (X.XX) - CUT IT"
+- "No B2B distribution strategy despite targeting gyms/studios"
+- "Hypothesis h2 assumes 30% trial rate but category average is 8%"
+
+## 6. ACTIONABLE FIXES (Prioritized)
+🔴 CRITICAL (do NOW):
+- Specific change with exact ID reference (e.g., "Change h3 expected_change from 0.45 to 0.25")
+
+🟡 IMPORTANT (before launch):
+- Concrete additions (e.g., "Add move m7: Partnership with Żabka for distribution")
+
+🟢 NICE TO HAVE:
+- Optimizations
+
+NO GENERIC ADVICE like "consider research" or "might want to test". Give SPECIFIC actions with IDs, numbers, and rationale.
+
+Remember: RESPOND IN THE SAME LANGUAGE AS THE STRATEGY. Be direct, numerical, and reference specific IDs.
+"""
+
+        # Call API
+        response = client.chat.completions.create(
+            model="gpt-4",
+            messages=[
+                {"role": "system", "content": "You are a ruthlessly honest strategy auditor. Find flaws, gaps, and risks. Reference specific IDs and numbers. Always respond in the same language as the user's input."},
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.5,
+            max_tokens=2500
+        )
+
+        return response.choices[0].message.content
+
+    except Exception as e:
+        return f"Error calling OpenAI API: {str(e)}\n\nPlease check your API key and try again."
+
+
+def render_report():
+    """Render report generation page"""
+    st.markdown('<div class="main-header">Strategy Report</div>', unsafe_allow_html=True)
+    st.markdown('<div class="sub-header">View and export your complete strategy</div>', unsafe_allow_html=True)
+
+    strategy = st.session_state.strategy
+
+    if not strategy.goal:
+        st.warning("No strategy to report. Go to Strategy Builder first.")
+        return
+
+    # Generate report
+    report = generate_report(strategy)
+
+    # Display report
+    st.markdown(report)
+
+    # Export buttons
+    st.markdown("---")
+    col1, col2 = st.columns(2)
+
+    with col1:
+        st.download_button(
+            label="📄 Download as Markdown",
+            data=report,
+            file_name=f"strategy_report_{datetime.now().strftime('%Y%m%d_%H%M%S')}.md",
+            mime="text/markdown",
+            use_container_width=True
+        )
+
+    with col2:
+        json_data = json.dumps(strategy.to_dict(), indent=2, ensure_ascii=False)
+        st.download_button(
+            label="📥 Download as JSON",
+            data=json_data,
+            file_name=f"strategy_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
+            mime="application/json",
+            use_container_width=True
+        )
+
+
+def generate_report(strategy: Strategy) -> str:
+    """Generate markdown report from strategy"""
+    report = f"""# Strategic Sandbox Report
+*Generated on {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}*
+
+---
+
+## 🎯 Goal
+
+**{strategy.goal.text if strategy.goal else 'Not defined'}**
+
+"""
+
+    if strategy.goal:
+        report += f"""
+- **Metric:** {strategy.goal.metric}
+- **Baseline:** {strategy.goal.baseline}{strategy.goal.unit}
+- **Target:** {strategy.goal.target}{strategy.goal.unit}
+- **Horizon:** {strategy.goal.horizon}
+- **Unit:** {strategy.goal.unit}
+"""
+
+    if strategy.arena:
+        report += f"""
+---
+
+## 🗺️ Arena
+
+- **Market:** {strategy.arena.market}
+- **Category:** {strategy.arena.category}
+- **Target Audience:** {strategy.arena.target_audience}
+- **Competitors:** {', '.join(strategy.arena.competitors)}
+"""
+
+    if strategy.insights:
+        report += "\n---\n\n## 💡 Insights\n\n"
+        for insight in strategy.insights:
+            report += f"### {insight.id}\n{insight.text}\n\n*Evidence: {', '.join(insight.evidence)}*\n\n"
+
+    if strategy.hypotheses:
+        report += "---\n\n## 🔬 Hypotheses\n\n"
+        for hyp in strategy.hypotheses:
+            report += f"### {hyp.id}\n{hyp.text}\n\n"
+            report += f"- Based on: {', '.join(hyp.based_on)}\n"
+            report += f"- Metric: {hyp.metric}\n"
+            report += f"- Expected change: {hyp.expected_change}\n\n"
+
+    if strategy.moves:
+        report += "---\n\n## 🎬 Moves\n\n"
+        for move in strategy.moves:
+            report += f"### {move.id}: {move.text}\n\n"
+            report += f"- Linked hypothesis: {move.linked_hypothesis}\n"
+            report += f"- Impact: {move.impact} | Fit: {move.fit} | Risk: {move.risk}\n"
+            report += f"- Cost: {move.cost:,.0f}\n\n"
+
+    if strategy.metrics:
+        report += "---\n\n## 📊 Supporting Metrics\n\n"
+        for metric in strategy.metrics:
+            report += f"### {metric.id}: {metric.text}\n"
+            report += f"- Baseline: {metric.baseline}{metric.unit}\n"
+            report += f"- Target: {metric.target}{metric.unit}\n\n"
+
+    # Add simulation results if available
+    if st.session_state.simulation_results:
+        results = st.session_state.simulation_results
+        report += "---\n\n## 📈 Simulation Results\n\n"
+        report += f"**Total Impact Score:** {results['total_impact']:.4f}\n\n"
+
+        report += "### Move Rankings\n\n"
+        for move in results['move_scores']:
+            report += f"- **{move['id']}**: Score {move['score']:.4f} (Impact: {move['impact']}, Risk: {move['risk']}, Cost: {move['cost']:,.0f})\n"
+
+    # Add AI feedback if available
+    if st.session_state.ai_feedback:
+        report += "\n---\n\n## 🤖 AI Evaluation\n\n"
+        report += st.session_state.ai_feedback
+
+    report += "\n\n---\n\n*Generated with Strategic Sandbox v1.0*\n"
+    report += "*🤖 Generated with [Claude Code](https://claude.com/claude-code)*\n"
+
+    return report
+
+
+def save_strategy():
+    """Save strategy to JSON file"""
+    timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
+    filename = f"data/strategy_{timestamp}.json"
+    st.session_state.strategy.to_json(filename)
+    st.success(f"Strategy saved to {filename}")
+
+
+def export_strategy_json():
+    """Export strategy as downloadable JSON"""
+    json_data = json.dumps(st.session_state.strategy.to_dict(), indent=2, ensure_ascii=False)
+    st.download_button(
+        label="Download JSON",
+        data=json_data,
+        file_name=f"strategy_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json",
+        mime="application/json"
+    )
+
+
+# Main app
+def main():
+    init_session_state()
+    render_sidebar()
+
+    # Route to appropriate page
+    page = st.session_state.current_page
+
+    if page == "Dashboard":
+        render_dashboard()
+    elif page == "Strategy Builder":
+        render_strategy_builder()
+    elif page == "Simulation":
+        render_simulation()
+    elif page == "AI Evaluator":
+        render_ai_evaluator()
+    elif page == "Report":
+        render_report()
+
+
+if __name__ == "__main__":
+    main()