Reformat SWOT output: concise 3-column table format

Backend:
- Update analyzer prompt to output SWOT as tables
- Format: | Ref | Metric | Insight |
- Update revision prompt to use same table format

Frontend:
- Add cleanMarkdown() to strip asterisks and bold markers
- Apply to all SWOT item displays and copy text

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>

frontend/src/App.tsx

@@ -85,6 +85,15 @@ const defaultLLMStatus: LLMStatus = {
   openrouter: 'idle',
 }
 
+// Helper to clean markdown formatting (strip asterisks, bold markers)
+const cleanMarkdown = (text: string): string => {
+  return text
+    .replace(/\*\*([^*]+)\*\*/g, '$1')  // Remove **bold**
+    .replace(/\*([^*]+)\*/g, '$1')       // Remove *italic*
+    .replace(/^\*\s*/gm, '')             // Remove bullet asterisks at line start
+    .trim()
+}
+
 const Index = () => {
   const [selectedStock, setSelectedStock] = useState<StockResult | null>(null)
   const [isLoading, setIsLoading] = useState(false)
@@ -377,16 +386,16 @@ Quality Score: ${analysisResult.score}/10
 Revisions: ${analysisResult.revision_count}
 
 STRENGTHS:
-${analysisResult.swot_data.strengths.map(s => `- ${s}`).join('\n')}
+${analysisResult.swot_data.strengths.map(s => `- ${cleanMarkdown(s)}`).join('\n')}
 
 WEAKNESSES:
-${analysisResult.swot_data.weaknesses.map(w => `- ${w}`).join('\n')}
+${analysisResult.swot_data.weaknesses.map(w => `- ${cleanMarkdown(w)}`).join('\n')}
 
 OPPORTUNITIES:
-${analysisResult.swot_data.opportunities.map(o => `- ${o}`).join('\n')}
+${analysisResult.swot_data.opportunities.map(o => `- ${cleanMarkdown(o)}`).join('\n')}
 
 THREATS:
-${analysisResult.swot_data.threats.map(t => `- ${t}`).join('\n')}
+${analysisResult.swot_data.threats.map(t => `- ${cleanMarkdown(t)}`).join('\n')}
 
 QUALITY EVALUATION:
 ${analysisResult.critique}
@@ -784,7 +793,7 @@ Generated by Instant SWOT Agent`
                         {analysisResult.swot_data.strengths.map((item, i) => (
                           <li key={i} className="flex gap-2 text-sm text-foreground">
                             <CheckCircle className="h-4 w-4 text-emerald-500 shrink-0 mt-0.5" />
-                            <span>{item}</span>
+                            <span>{cleanMarkdown(item)}</span>
                           </li>
                         ))}
                       </ul>
@@ -800,7 +809,7 @@ Generated by Instant SWOT Agent`
                         {analysisResult.swot_data.weaknesses.map((item, i) => (
                           <li key={i} className="flex gap-2 text-sm text-foreground">
                             <XCircle className="h-4 w-4 text-red-500 shrink-0 mt-0.5" />
-                            <span>{item}</span>
+                            <span>{cleanMarkdown(item)}</span>
                           </li>
                         ))}
                       </ul>
@@ -816,7 +825,7 @@ Generated by Instant SWOT Agent`
                         {analysisResult.swot_data.opportunities.map((item, i) => (
                           <li key={i} className="flex gap-2 text-sm text-foreground">
                             <Zap className="h-4 w-4 text-blue-500 shrink-0 mt-0.5" />
-                            <span>{item}</span>
+                            <span>{cleanMarkdown(item)}</span>
                           </li>
                         ))}
                       </ul>
@@ -832,7 +841,7 @@ Generated by Instant SWOT Agent`
                         {analysisResult.swot_data.threats.map((item, i) => (
                           <li key={i} className="flex gap-2 text-sm text-foreground">
                             <AlertCircle className="h-4 w-4 text-yellow-500 shrink-0 mt-0.5" />
-                            <span>{item}</span>
+                            <span>{cleanMarkdown(item)}</span>
                           </li>
                         ))}
                       </ul>

src/nodes/analyzer.py

@@ -1348,11 +1348,18 @@ Weighted Score: {critique_details.get('weighted_score', 0):.1f} / 10
 
 ### OUTPUT INSTRUCTIONS
 
-Produce a complete, revised SWOT analysis following the original template structure.
+Produce a complete, revised SWOT analysis using TABLE format:
+
+## Strengths
+| Ref | Metric | Insight |
+|-----|--------|---------|
+| M## | Metric: Value | Strategic insight in one sentence |
+
+(Same table format for Weaknesses, Opportunities, Threats)
 
 Do not:
+- Use bullet points or **bold** labels - use tables only
 - Include any preamble about revisions
-- Apologize or explain what you changed
 - Reference the Critic's feedback in your output
 
 Simply output the improved SWOT as a clean, final deliverable."""
@@ -1397,44 +1404,42 @@ def _build_analyzer_prompt(company: str, ticker: str, formatted_data: str,
 
 === OUTPUT FORMAT ===
 
-Produce a SWOT analysis with this exact structure:
+Produce a SWOT analysis using TABLES with this exact structure:
 
 ## Strengths
-For each (3-5 points):
-- **Finding:** [One sentence with metric value and citation, e.g., "Revenue of $394.3B [M01] shows..."]
-- **Strategic Implication:** [Why this matters]
-- **Durability:** [High/Medium/Low]
+| Ref | Metric | Insight |
+|-----|--------|---------|
+| M01 | Revenue: $394.3B | Strong market position with substantial scale |
+| M02 | Net Margin: 24.3% | High profitability indicates pricing power |
+
+(Include 3-5 rows per section)
 
 ## Weaknesses
-For each (3-5 points):
-- **Finding:** [One sentence with metric value and citation, e.g., "Debt/equity of 1.87 [M04] indicates..."]
-- **Severity:** [Critical/Moderate/Minor]
-- **Trend:** [Improving/Stable/Deteriorating]
-- **Remediation Levers:** [What could improve this]
+| Ref | Metric | Insight |
+|-----|--------|---------|
+| M04 | Debt/Equity: 1.87 | Elevated leverage increases financial risk |
 
 ## Opportunities
-For each (3-5 points):
-- **Catalyst:** [Description with metric citations where applicable]
-- **Timing:** [Near-term/Medium-term/Long-term]
-- **Execution Requirements:** [What must happen]
+| Ref | Metric | Insight |
+|-----|--------|---------|
+| M12 | GDP Growth: 4.3% | Favorable macro environment for expansion |
 
 ## Threats
-For each (3-5 points):
-- **Risk Factor:** [Description with metric citations where applicable]
-- **Probability:** [High/Medium/Low]
-- **Impact:** [Potential magnitude]
-- **Mitigation Options:** [Possible responses]
+| Ref | Metric | Insight |
+|-----|--------|---------|
+| M13 | Interest Rate: 3.72% | Higher borrowing costs may impact margins |
 
 ## Data Quality Notes
-- **Metrics Used:** [List key metrics analyzed]
-- **Data Gaps:** [Any unavailable metrics]
-- **Confidence Level:** [High/Medium/Low]
-
-CRITICAL CITATION REQUIREMENTS:
-1. Every numeric finding MUST include the reference ID in brackets: value [M##]
-2. Use EXACT values from the METRIC REFERENCE TABLE - do NOT round or estimate
-3. Example: "Revenue of $394,328,000,000 [M01] demonstrates strong market position"
-4. Citations will be automatically verified - mismatches cause rejection"""
+- Metrics Used: [List key metrics analyzed]
+- Data Gaps: [Any unavailable metrics]
+- Confidence: [High/Medium/Low]
+
+CRITICAL REQUIREMENTS:
+1. Use TABLE format as shown above - NOT bullet points
+2. Every row MUST cite a metric reference [M##] in the Ref column
+3. Metric column: Name and value (e.g., "Revenue: $394.3B")
+4. Insight column: One concise sentence explaining strategic implication
+5. Use EXACT values from the METRIC REFERENCE TABLE - do NOT round"""
 
     return prompt, metric_lookup, ref_hash