fix(ai-chat): hide memory line and enforce richer recommendation replies

apps/api/src/app/endpoints/ai/ai-agent.chat.helpers.spec.ts

@@ -66,7 +66,7 @@ describe('AiAgentChatHelpers', () => {
       }),
       languageCode: 'en',
       memory: { turns: [] },
-      query: 'How should I rebalance and invest next?',
+      query: 'Summarize my concentration risk and next move.',
       userCurrency: 'USD'
     });
 
@@ -103,8 +103,55 @@ describe('AiAgentChatHelpers', () => {
       userCurrency: 'USD'
     });
 
-    expect(answer).toContain('Next-step allocation:');
     expect(answer).toContain('AAPL');
+    expect(answer).toContain('Option 1 (new money first):');
+    expect(answer).toContain('Option 2 (sell and rebalance):');
+    expect(answer).toContain('Assumptions:');
+    expect(answer).toContain('Next questions:');
+  });
+
+  it('falls back to recommendation options when generated recommendation lacks option structure', async () => {
+    const generatedText =
+      'Risk concentration is high and your top position remains elevated. Redirect contributions and gradually reduce concentration while monitoring drift every month.';
+
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockResolvedValue({
+        text: generatedText
+      }),
+      languageCode: 'en',
+      memory: { turns: [] },
+      portfolioAnalysis: {
+        allocationSum: 1,
+        holdings: [
+          {
+            allocationInPercentage: 0.7,
+            dataSource: DataSource.YAHOO,
+            symbol: 'AAPL',
+            valueInBaseCurrency: 7000
+          },
+          {
+            allocationInPercentage: 0.3,
+            dataSource: DataSource.YAHOO,
+            symbol: 'MSFT',
+            valueInBaseCurrency: 3000
+          }
+        ],
+        holdingsCount: 2,
+        totalValueInBaseCurrency: 10000
+      },
+      query: 'help me diversify',
+      riskAssessment: {
+        concentrationBand: 'high',
+        hhi: 0.58,
+        topHoldingAllocation: 0.7
+      },
+      userCurrency: 'USD'
+    });
+
+    expect(answer).not.toBe(generatedText);
+    expect(answer).toContain('Option 1 (new money first):');
+    expect(answer).toContain('Option 2 (sell and rebalance):');
+    expect(answer).toContain('Risk notes:');
   });
 
   it('uses recommendation-composer prompt structure for action-intent queries', async () => {
@@ -186,4 +233,368 @@ describe('AiAgentChatHelpers', () => {
 
     expect(result).toEqual({});
   });
+
+  it.each([
+    'What do you remember about me?',
+    'show my preferences',
+    'Show preferences',
+    'What are my preferences?',
+    'which preferences do you remember',
+    'which preferences did you save'
+  ])('matches preference recall pattern for "%s"', (query) => {
+    expect(isPreferenceRecallQuery(query)).toBe(true);
+  });
+
+  it.each([
+    'Show my portfolio risk',
+    'Rebalance my holdings',
+    'hello',
+    'help me diversify'
+  ])('does not match preference recall pattern for "%s"', (query) => {
+    expect(isPreferenceRecallQuery(query)).toBe(false);
+  });
+
+  it.each([
+    'keep answers concise',
+    'answer briefly',
+    'responses concise please',
+    'keep replies short'
+  ])('detects concise preference phrase "%s"', (query) => {
+    const result = resolvePreferenceUpdate({
+      query,
+      userPreferences: {}
+    });
+
+    expect(result.shouldPersist).toBe(true);
+    expect(result.userPreferences.responseStyle).toBe('concise');
+    expect(result.acknowledgement).toContain('Saved preference');
+  });
+
+  it.each([
+    'keep responses detailed',
+    'answer in detail',
+    'more detail please',
+    'responses verbose'
+  ])('detects detailed preference phrase "%s"', (query) => {
+    const result = resolvePreferenceUpdate({
+      query,
+      userPreferences: {}
+    });
+
+    expect(result.shouldPersist).toBe(true);
+    expect(result.userPreferences.responseStyle).toBe('detailed');
+    expect(result.acknowledgement).toContain('Saved preference');
+  });
+
+  it('returns no-op when preference query is ambiguous', () => {
+    const result = resolvePreferenceUpdate({
+      query: 'keep responses concise and add more detail',
+      userPreferences: {
+        responseStyle: 'concise',
+        updatedAt: '2026-02-24T10:00:00.000Z'
+      }
+    });
+
+    expect(result.shouldPersist).toBe(false);
+    expect(result.userPreferences.responseStyle).toBe('concise');
+    expect(result.acknowledgement).toBeUndefined();
+  });
+
+  it('returns already-saved acknowledgement when style does not change', () => {
+    const result = resolvePreferenceUpdate({
+      query: 'keep answers concise',
+      userPreferences: {
+        responseStyle: 'concise',
+        updatedAt: '2026-02-24T10:00:00.000Z'
+      }
+    });
+
+    expect(result.shouldPersist).toBe(false);
+    expect(result.acknowledgement).toContain('Preference already saved');
+  });
+
+  it('clears stored preferences when clear command is issued', () => {
+    const result = resolvePreferenceUpdate({
+      query: 'clear my saved preferences',
+      userPreferences: {
+        responseStyle: 'detailed',
+        updatedAt: '2026-02-24T10:00:00.000Z'
+      }
+    });
+
+    expect(result.shouldPersist).toBe(true);
+    expect(result.userPreferences).toEqual({});
+    expect(result.acknowledgement).toContain('Cleared');
+  });
+
+  it('returns no-op clear acknowledgement when no preferences exist', () => {
+    const result = resolvePreferenceUpdate({
+      query: 'reset preferences',
+      userPreferences: {}
+    });
+
+    expect(result.shouldPersist).toBe(false);
+    expect(result.userPreferences).toEqual({});
+    expect(result.acknowledgement).toContain('No saved cross-session preferences');
+  });
+
+  it('returns deterministic summary for empty preference state', () => {
+    expect(
+      createPreferenceSummaryResponse({
+        userPreferences: {}
+      })
+    ).toBe('I have no saved cross-session preferences yet.');
+  });
+
+  it('builds fallback with market snapshot when llm output is unavailable', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      marketData: {
+        quotes: [
+          {
+            currency: 'USD',
+            marketPrice: 210.12,
+            marketState: 'REGULAR',
+            symbol: 'AAPL'
+          }
+        ],
+        symbolsRequested: ['AAPL']
+      },
+      memory: { turns: [] },
+      query: 'show market quote',
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain('Market snapshot: AAPL: 210.12 USD');
+  });
+
+  it('builds fallback with limited-coverage message when quotes are missing', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      marketData: {
+        quotes: [],
+        symbolsRequested: ['AAPL', 'TSLA']
+      },
+      memory: { turns: [] },
+      query: 'show market quote',
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain(
+      'Market data request completed with limited quote coverage for: AAPL, TSLA.'
+    );
+  });
+
+  it('limits fallback output to two lines when concise preference is saved', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      memory: {
+        turns: [
+          {
+            answer: 'prior answer',
+            query: 'prior query',
+            timestamp: '2026-02-24T10:00:00.000Z',
+            toolCalls: [{ status: 'success', tool: 'portfolio_analysis' }]
+          }
+        ]
+      },
+      portfolioAnalysis: {
+        allocationSum: 1,
+        holdings: [
+          {
+            allocationInPercentage: 0.6,
+            dataSource: DataSource.YAHOO,
+            symbol: 'AAPL',
+            valueInBaseCurrency: 6000
+          },
+          {
+            allocationInPercentage: 0.4,
+            dataSource: DataSource.YAHOO,
+            symbol: 'MSFT',
+            valueInBaseCurrency: 4000
+          }
+        ],
+        holdingsCount: 2,
+        totalValueInBaseCurrency: 10000
+      },
+      query: 'show allocation overview',
+      userCurrency: 'USD',
+      userPreferences: {
+        responseStyle: 'concise',
+        updatedAt: '2026-02-24T10:00:00.000Z'
+      }
+    });
+
+    expect(answer.split('\n').length).toBeLessThanOrEqual(2);
+  });
+
+  it('keeps fallback user-facing by omitting session-memory status lines', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      memory: {
+        turns: [
+          {
+            answer: 'prior answer',
+            query: 'prior query',
+            timestamp: '2026-02-24T10:00:00.000Z',
+            toolCalls: [{ status: 'success', tool: 'portfolio_analysis' }]
+          },
+          {
+            answer: 'second answer',
+            query: 'second query',
+            timestamp: '2026-02-24T10:01:00.000Z',
+            toolCalls: [{ status: 'success', tool: 'risk_assessment' }]
+          }
+        ]
+      },
+      portfolioAnalysis: {
+        allocationSum: 1,
+        holdings: [
+          {
+            allocationInPercentage: 0.6,
+            dataSource: DataSource.YAHOO,
+            symbol: 'AAPL',
+            valueInBaseCurrency: 6000
+          },
+          {
+            allocationInPercentage: 0.4,
+            dataSource: DataSource.YAHOO,
+            symbol: 'MSFT',
+            valueInBaseCurrency: 4000
+          }
+        ],
+        holdingsCount: 2,
+        totalValueInBaseCurrency: 10000
+      },
+      query: 'show allocation overview',
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain('Largest long allocations:');
+    expect(answer).not.toContain('Session memory applied');
+  });
+
+  it('includes recommendation fallback options when recommendation query is unreliable', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockResolvedValue({
+        text: 'Diversify.'
+      }),
+      languageCode: 'en',
+      memory: { turns: [] },
+      portfolioAnalysis: {
+        allocationSum: 1,
+        holdings: [
+          {
+            allocationInPercentage: 0.7,
+            dataSource: DataSource.YAHOO,
+            symbol: 'AAPL',
+            valueInBaseCurrency: 7000
+          },
+          {
+            allocationInPercentage: 0.3,
+            dataSource: DataSource.YAHOO,
+            symbol: 'VTI',
+            valueInBaseCurrency: 3000
+          }
+        ],
+        holdingsCount: 2,
+        totalValueInBaseCurrency: 10000
+      },
+      query: 'what should i do to diversify',
+      riskAssessment: {
+        concentrationBand: 'high',
+        hhi: 0.58,
+        topHoldingAllocation: 0.7
+      },
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain('Option 1 (new money first)');
+    expect(answer).toContain('Option 2 (sell and rebalance)');
+    expect(answer).toContain('Next questions:');
+  });
+
+  it('includes stress and rebalance fallback sections when llm fails', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      memory: { turns: [] },
+      query: 'run rebalance and stress test',
+      rebalancePlan: {
+        maxAllocationTarget: 0.35,
+        overweightHoldings: [
+          {
+            currentAllocation: 0.55,
+            reductionNeeded: 0.2,
+            symbol: 'AAPL'
+          }
+        ],
+        underweightHoldings: [
+          {
+            currentAllocation: 0.12,
+            symbol: 'VTI'
+          }
+        ]
+      },
+      stressTest: {
+        estimatedDrawdownInBaseCurrency: 3200,
+        estimatedPortfolioValueAfterShock: 12800,
+        longExposureInBaseCurrency: 16000,
+        shockPercentage: 0.2
+      },
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain('Rebalance priority');
+    expect(answer).toContain('Stress test (20% downside)');
+  });
+
+  it('falls back to guidance prompt when no context sections exist', async () => {
+    const answer = await buildAnswer({
+      generateText: jest.fn().mockRejectedValue(new Error('offline')),
+      languageCode: 'en',
+      memory: { turns: [] },
+      query: 'anything else?',
+      userCurrency: 'USD'
+    });
+
+    expect(answer).toContain(
+      'Portfolio context is available. Ask about holdings, risk concentration, or symbol prices for deeper analysis.'
+    );
+  });
+
+  it('sanitizes malformed user preference payload fields', async () => {
+    const redisCacheService = {
+      get: jest.fn().mockResolvedValue(
+        JSON.stringify({
+          responseStyle: 'unsupported',
+          updatedAt: 12345
+        })
+      )
+    };
+
+    const result = await getUserPreferences({
+      redisCacheService: redisCacheService as never,
+      userId: 'user-1'
+    });
+
+    expect(result).toEqual({});
+  });
+
+  it('returns empty preferences when cache lookup is empty', async () => {
+    const redisCacheService = {
+      get: jest.fn().mockResolvedValue(undefined)
+    };
+
+    const result = await getUserPreferences({
+      redisCacheService: redisCacheService as never,
+      userId: 'user-1'
+    });
+
+    expect(result).toEqual({});
+  });
 });

apps/api/src/app/endpoints/ai/ai-agent.chat.helpers.ts

@@ -32,6 +32,17 @@ const PREFERENCE_RECALL_PATTERN =
   /\b(?:what do you remember about me|show (?:my )?preferences?|what are my preferences?|which preferences (?:do|did) you (?:remember|save))\b/i;
 const RECOMMENDATION_INTENT_PATTERN =
   /\b(?:how do i|what should i do|help me|fix|reduce|diversif|deconcentrat|rebalance|recommend|what can i do)\b/i;
+const RECOMMENDATION_REQUIRED_SECTIONS = [
+  /option 1/i,
+  /option 2/i
+];
+const RECOMMENDATION_SUPPORTING_SECTIONS = [
+  /summary:/i,
+  /assumptions:/i,
+  /risk notes:/i,
+  /next questions:/i
+];
+const MINIMUM_RECOMMENDATION_WORDS = 45;
 
 export const AI_AGENT_MEMORY_MAX_TURNS = 10;
 
@@ -80,7 +91,7 @@ function getResponseInstruction({
   return `Write a concise response with actionable insight and avoid speculation.`;
 }
 
-function isRecommendationIntentQuery(query: string) {
+export function isRecommendationIntentQuery(query: string) {
   return RECOMMENDATION_INTENT_PATTERN.test(query.trim().toLowerCase());
 }
 
@@ -155,11 +166,9 @@ function buildRecommendationContext({
 }
 
 function buildRecommendationFallback({
-  memory,
   portfolioAnalysis,
   riskAssessment
 }: {
-  memory: AiAgentMemoryState;
   portfolioAnalysis?: PortfolioAnalysisResult;
   riskAssessment?: RiskAssessmentResult;
 }) {
@@ -200,17 +209,13 @@ function buildRecommendationFallback({
     .join(', ');
   const recommendationSections: string[] = [];
 
-  if (memory.turns.length > 0) {
-    recommendationSections.push(
-      `Session memory applied from ${memory.turns.length} prior turn(s).`
-    );
-  }
-
   recommendationSections.push(
     `Summary: concentration is ${riskAssessment?.concentrationBand ?? 'elevated'} with ${topHolding.symbol} at ${currentTopPct}% of long exposure.`,
     `Largest long allocations: ${topAllocationsSummary}.`,
-    `Option 1 (new money first): Next-step allocation: direct 80-100% of new contributions to positions outside ${topHolding.symbol} until the top holding approaches 35%.`,
-    `Option 2 (sell and rebalance): Next-step allocation: trim ${topHolding.symbol} by about ${reallocationGapPct} percentage points in staged rebalances and rotate into underweight diversified exposures.`,
+    `Option 1 (new money first): direct 80-100% of new contributions away from ${topHolding.symbol} until top concentration approaches 35%; a neutral split can start at 50-60% broad equity, 20-30% international equity, and 20-25% defensive exposure.`,
+    `Option 2 (sell and rebalance): trim ${topHolding.symbol} by about ${reallocationGapPct} percentage points in 2-3 staged rebalances and rotate proceeds into underweight diversified sleeves to reduce single-name dependence.`,
+    `Option 3 (risk-managed path): keep core holdings, reduce incremental exposure to ${topHolding.symbol}, and add defensive or uncorrelated assets while monitoring monthly drift back toward target concentration.`,
+    'Risk notes: taxable accounts can trigger realized gains when trimming; include fees, spread, and currency exposure checks before execution.',
     'Assumptions: taxable status, account type, and product universe were not provided.',
     'Next questions: account type (taxable vs tax-advantaged), tax sensitivity (low/medium/high), and whether new-money-only rebalancing is preferred.'
   );
@@ -218,6 +223,28 @@ function buildRecommendationFallback({
   return recommendationSections.join('\n');
 }
 
+function isDetailedRecommendationAnswer(answer: string) {
+  const normalizedAnswer = answer.trim();
+
+  if (!normalizedAnswer) {
+    return false;
+  }
+
+  const words = normalizedAnswer.split(/\s+/).filter(Boolean);
+  const hasRequiredOptions = RECOMMENDATION_REQUIRED_SECTIONS.every((pattern) => {
+    return pattern.test(normalizedAnswer);
+  });
+  const supportingSectionMatches = RECOMMENDATION_SUPPORTING_SECTIONS.filter((pattern) => {
+    return pattern.test(normalizedAnswer);
+  }).length;
+
+  return (
+    words.length >= MINIMUM_RECOMMENDATION_WORDS &&
+    hasRequiredOptions &&
+    supportingSectionMatches >= 2
+  );
+}
+
 export function isPreferenceRecallQuery(query: string) {
   return PREFERENCE_RECALL_PATTERN.test(query.trim().toLowerCase());
 }
@@ -346,12 +373,6 @@ export async function buildAnswer({
   });
   const hasRecommendationIntent = isRecommendationIntentQuery(query);
 
-  if (memory.turns.length > 0) {
-    fallbackSections.push(
-      `Session memory applied from ${memory.turns.length} prior turn(s).`
-    );
-  }
-
   if (riskAssessment) {
     fallbackSections.push(
       `Risk concentration is ${riskAssessment.concentrationBand}. Top holding allocation is ${(riskAssessment.topHoldingAllocation * 100).toFixed(2)}% with HHI ${riskAssessment.hhi.toFixed(3)}.`
@@ -454,12 +475,16 @@ export async function buildAnswer({
         `User currency: ${userCurrency}`,
         `Language code: ${languageCode}`,
         `Query: ${query}`,
+        `Session turns available: ${memory.turns.length}`,
         `Recommendation context (JSON):`,
         JSON.stringify(recommendationContext),
         `Context summary:`,
         fallbackAnswer,
         `Task: provide 2-3 policy-bounded options to improve diversification with concrete allocation targets or percentage ranges.`,
         `Output sections: Summary, Assumptions, Option 1 (new money first), Option 2 (sell and rebalance), Risk notes, Next questions (max 3).`,
+        `Each option must include concrete percentage ranges or target bands derived from the recommendation context.`,
+        `If constraints are missing, provide conditioned pathways for taxable vs tax-advantaged accounts.`,
+        `Use at least 120 words unless the user explicitly asked for concise responses.`,
         `Do not rely on a single hardcoded ETF unless the user explicitly requests a product. Ask for missing constraints when needed.`,
         getResponseInstruction({ userPreferences })
       ].join('\n')
@@ -468,6 +493,7 @@ export async function buildAnswer({
         `User currency: ${userCurrency}`,
         `Language code: ${languageCode}`,
         `Query: ${query}`,
+        `Session turns available: ${memory.turns.length}`,
         `Context summary:`,
         fallbackAnswer,
         getResponseInstruction({ userPreferences })
@@ -500,7 +526,9 @@ export async function buildAnswer({
         query
       })
     ) {
-      return generatedAnswer;
+      if (!hasRecommendationIntent || isDetailedRecommendationAnswer(generatedAnswer)) {
+        return generatedAnswer;
+      }
     }
   } catch {}
   finally {
@@ -511,7 +539,6 @@ export async function buildAnswer({
 
   if (hasRecommendationIntent) {
     const recommendationFallback = buildRecommendationFallback({
-      memory,
       portfolioAnalysis,
       riskAssessment
     });

apps/api/src/app/endpoints/ai/ai-agent.policy.utils.spec.ts

@@ -0,0 +1,272 @@
+import { AiAgentToolName } from './ai-agent.interfaces';
+import {
+  applyToolExecutionPolicy,
+  createPolicyRouteResponse,
+  formatPolicyVerificationDetails
+} from './ai-agent.policy.utils';
+
+describe('AiAgentPolicyUtils', () => {
+  it.each([
+    'hi',
+    'hello',
+    'hey',
+    'thanks',
+    'thank you',
+    'good morning',
+    'good afternoon',
+    'good evening'
+  ])('routes greeting-like query "%s" to direct no-tool', (query) => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: ['portfolio_analysis'],
+      query
+    });
+
+    expect(decision.route).toBe('direct');
+    expect(decision.blockReason).toBe('no_tool_query');
+    expect(decision.toolsToExecute).toEqual([]);
+  });
+
+  it.each([
+    'who are you',
+    'what are you',
+    'what can you do',
+    'how do you work',
+    'how can i use this',
+    'help',
+    'assist me',
+    'what can you help with'
+  ])('routes assistant capability query "%s" to direct no-tool', (query) => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query
+    });
+
+    expect(decision.route).toBe('direct');
+    expect(decision.blockReason).toBe('no_tool_query');
+    expect(
+      createPolicyRouteResponse({ policyDecision: decision, query })
+    ).toContain(
+      'Ghostfolio AI'
+    );
+  });
+
+  it.each<[string, string]>([
+    ['2+2', '2+2 = 4'],
+    ['what is 5 * 3', '5 * 3 = 15'],
+    ['(2+3)*4', '(2+3)*4 = 20'],
+    ['10 / 4', '10 / 4 = 2.5'],
+    ['7 - 10', '7 - 10 = -3'],
+    ['3.5 + 1.25', '3.5 + 1.25 = 4.75'],
+    ['(8 - 2) / 3', '(8 - 2) / 3 = 2'],
+    ['what is 3*(2+4)?', '3*(2+4) = 18'],
+    ['2 + (3 * (4 - 1))', '2 + (3 * (4 - 1)) = 11'],
+    ['10-3-2', '10-3-2 = 5']
+  ])('returns arithmetic direct response for "%s"', (query, expected) => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query
+    });
+
+    expect(decision.route).toBe('direct');
+    expect(
+      createPolicyRouteResponse({
+        policyDecision: decision,
+        query
+      })
+    ).toBe(expected);
+  });
+
+  it.each(['1/0', '2+*2', '5 % 2'])(
+    'falls back to capability response for unsupported arithmetic expression "%s"',
+    (query) => {
+      const decision = applyToolExecutionPolicy({
+        plannedTools: [],
+        query
+      });
+
+      expect(decision.route).toBe('direct');
+      expect(
+        createPolicyRouteResponse({
+          policyDecision: decision,
+          query
+        })
+      ).toContain('portfolio analysis');
+    }
+  );
+
+  it('returns distinct direct no-tool responses for identity and capability prompts', () => {
+    const identityDecision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query: 'who are you?'
+    });
+    const capabilityDecision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query: 'what can you do?'
+    });
+
+    const identityResponse = createPolicyRouteResponse({
+      policyDecision: identityDecision,
+      query: 'who are you?'
+    });
+    const capabilityResponse = createPolicyRouteResponse({
+      policyDecision: capabilityDecision,
+      query: 'what can you do?'
+    });
+
+    expect(identityResponse).toContain('portfolio copilot');
+    expect(capabilityResponse).toContain('three modes');
+    expect(identityResponse).not.toBe(capabilityResponse);
+  });
+
+  it('routes finance read intent with empty planner output to clarify', () => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query: 'Show portfolio risk and allocation'
+    });
+
+    expect(decision.route).toBe('clarify');
+    expect(decision.blockReason).toBe('unknown');
+    expect(createPolicyRouteResponse({ policyDecision: decision })).toContain(
+      'Which one should I run next?'
+    );
+  });
+
+  it('routes non-finance empty planner output to direct no-tool', () => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: [],
+      query: 'Tell me a joke'
+    });
+
+    expect(decision.route).toBe('direct');
+    expect(decision.blockReason).toBe('no_tool_query');
+  });
+
+  it('deduplicates planned tools while preserving route decisions', () => {
+    const plannedTools: AiAgentToolName[] = [
+      'portfolio_analysis',
+      'portfolio_analysis',
+      'risk_assessment'
+    ];
+    const decision = applyToolExecutionPolicy({
+      plannedTools,
+      query: 'analyze concentration risk'
+    });
+
+    expect(decision.plannedTools).toEqual([
+      'portfolio_analysis',
+      'risk_assessment'
+    ]);
+    expect(decision.toolsToExecute).toEqual([
+      'portfolio_analysis',
+      'risk_assessment'
+    ]);
+    expect(decision.route).toBe('tools');
+  });
+
+  it.each<{
+    expectedTools: AiAgentToolName[];
+    plannedTools: AiAgentToolName[];
+    query: string;
+    reason: string;
+    route?: 'clarify' | 'direct' | 'tools';
+  }>([
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment'] as AiAgentToolName[],
+      plannedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan'
+      ] as AiAgentToolName[],
+      query: 'review portfolio concentration risk',
+      reason: 'read-only intent strips rebalance'
+    },
+    {
+      expectedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan'
+      ] as AiAgentToolName[],
+      plannedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan'
+      ] as AiAgentToolName[],
+      query: 'invest 2000 and rebalance',
+      reason: 'action intent preserves rebalance'
+    },
+    {
+      expectedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan',
+        'market_data_lookup'
+      ] as AiAgentToolName[],
+      plannedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan',
+        'market_data_lookup'
+      ] as AiAgentToolName[],
+      query: 'invest and rebalance after checking market quote for NVDA',
+      reason: 'action + market intent keeps all planned tools'
+    },
+    {
+      expectedTools: ['stress_test'] as AiAgentToolName[],
+      plannedTools: ['stress_test'] as AiAgentToolName[],
+      query: 'run stress scenario read-only',
+      reason: 'read-only stress execution stays allowed'
+    }
+  ])(
+    'applies policy gating: $reason',
+    ({ expectedTools, plannedTools, query, route }) => {
+      const decision = applyToolExecutionPolicy({
+        plannedTools,
+        query
+      });
+
+      if (route) {
+        expect(decision.route).toBe(route);
+      } else {
+        expect(decision.route).toBe('tools');
+      }
+
+      expect(decision.toolsToExecute).toEqual(expectedTools);
+    }
+  );
+
+  it('marks rebalance-only no-action prompts as clarify with needs_confirmation', () => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: ['rebalance_plan'],
+      query: 'review concentration profile'
+    });
+
+    expect(decision.route).toBe('clarify');
+    expect(decision.blockReason).toBe('needs_confirmation');
+    expect(decision.blockedByPolicy).toBe(true);
+    expect(decision.toolsToExecute).toEqual([]);
+  });
+
+  it('formats policy verification details with planned and executed tools', () => {
+    const decision = applyToolExecutionPolicy({
+      plannedTools: [
+        'portfolio_analysis',
+        'risk_assessment',
+        'rebalance_plan'
+      ],
+      query: 'review concentration risk'
+    });
+    const details = formatPolicyVerificationDetails({
+      policyDecision: decision
+    });
+
+    expect(details).toContain('route=tools');
+    expect(details).toContain('blocked_by_policy=true');
+    expect(details).toContain('block_reason=needs_confirmation');
+    expect(details).toContain(
+      'planned_tools=portfolio_analysis, risk_assessment, rebalance_plan'
+    );
+    expect(details).toContain(
+      'executed_tools=portfolio_analysis, risk_assessment'
+    );
+  });
+});

apps/api/src/app/endpoints/ai/ai-agent.policy.utils.ts

@@ -34,6 +34,11 @@ const SIMPLE_ASSISTANT_QUERY_PATTERNS = [
   /^\s*(?:how do you work|how (?:can|do) i use (?:you|this))\s*[!.?]*\s*$/i,
   /^\s*(?:help|assist(?: me)?|what can you help with)\s*[!.?]*\s*$/i
 ];
+const DIRECT_IDENTITY_QUERY_PATTERN = /\b(?:who are you|what are you)\b/i;
+const DIRECT_USAGE_QUERY_PATTERN =
+  /\b(?:how do you work|how (?:can|do) i use (?:you|this)|how should i ask)\b/i;
+const DIRECT_CAPABILITY_QUERY_PATTERN =
+  /\b(?:what can (?:you|i) do|help|assist(?: me)?|what can you help with)\b/i;
 const READ_ONLY_TOOLS = new Set<AiAgentToolName>([
   'portfolio_analysis',
   'risk_assessment',
@@ -292,6 +297,51 @@ function evaluateSimpleArithmetic(query: string) {
   return `${expression} = ${formatNumericResult(result)}`;
 }
 
+function createNoToolDirectResponse(query?: string) {
+  const normalizedQuery = query?.trim().toLowerCase() ?? '';
+
+  if (DIRECT_IDENTITY_QUERY_PATTERN.test(normalizedQuery)) {
+    return [
+      'I am Ghostfolio AI, your portfolio copilot for this account.',
+      'I analyze concentration risk, summarize holdings, fetch market quotes, run stress scenarios, and compose diversification or rebalance options.',
+      'Try one of these:',
+      '- "Give me a concentration risk summary"',
+      '- "Show the latest prices for my top holdings"',
+      '- "Help me diversify with 2-3 optioned plans"'
+    ].join('\n');
+  }
+
+  if (DIRECT_USAGE_QUERY_PATTERN.test(normalizedQuery)) {
+    return [
+      'I am Ghostfolio AI. Use short direct prompts and include your goal or constraint.',
+      'Good pattern: objective + scope + constraint (for example, "reduce top holding below 35% with low tax impact").',
+      'I can return analysis, recommendation options, stress scenarios, and market snapshots with citations.',
+      'If key constraints are missing, I will ask up to 3 follow-up questions before giving trade-style steps.'
+    ].join('\n');
+  }
+
+  if (DIRECT_CAPABILITY_QUERY_PATTERN.test(normalizedQuery)) {
+    return [
+      'I am Ghostfolio AI. You can use me in three modes: diagnose, recommend, and verify.',
+      'Diagnose: concentration risk, top exposures, and allocation summaries.',
+      'Recommend: optioned diversification/rebalance plans with assumptions and next questions.',
+      'Verify: live quote checks and stress-scenario impact estimates.',
+      'Try next:',
+      '- "Analyze my concentration risk"',
+      '- "Help me diversify with new-money and sell/rotate options"',
+      '- "Run a 20% downside stress test"'
+    ].join('\n');
+  }
+
+  return [
+    'I am Ghostfolio AI. I can help with portfolio analysis, concentration risk, market prices, diversification options, and stress scenarios.',
+    'Try one of these:',
+    '- "Show my top holdings"',
+    '- "What is my concentration risk?"',
+    '- "Help me diversify with actionable options"'
+  ].join('\n');
+}
+
 export function applyToolExecutionPolicy({
   plannedTools,
   query
@@ -410,7 +460,7 @@ export function createPolicyRouteResponse({
       return arithmeticResult;
     }
 
-    return `I am your Ghostfolio AI assistant. I can help with portfolio analysis, concentration risk, market prices, rebalancing ideas, and stress scenarios. Try: "Show my top holdings" or "What is my concentration risk?".`;
+    return createNoToolDirectResponse(query);
   }
 
   return `I can help with portfolio analysis, concentration risk, market prices, and stress scenarios. Ask a portfolio question when you are ready.`;

apps/api/src/app/endpoints/ai/ai-agent.utils.spec.ts

@@ -78,8 +78,10 @@ describe('AiAgentUtils', () => {
     expect(decision.route).toBe('direct');
     expect(decision.toolsToExecute).toEqual([]);
     expect(decision.blockReason).toBe('no_tool_query');
-    expect(createPolicyRouteResponse({ policyDecision: decision })).toContain(
-      'Ghostfolio AI assistant'
+    expect(
+      createPolicyRouteResponse({ policyDecision: decision, query: 'Who are you?' })
+    ).toContain(
+      'Ghostfolio AI'
     );
   });
 
@@ -143,6 +145,14 @@ describe('AiAgentUtils', () => {
     ).toEqual(['portfolio_analysis', 'risk_assessment', 'rebalance_plan']);
   });
 
+  it('selects recommendation tools for ambiguous action phrasing', () => {
+    expect(
+      determineToolPlan({
+        query: 'What can I do?'
+      })
+    ).toEqual(['portfolio_analysis', 'risk_assessment', 'rebalance_plan']);
+  });
+
   it('selects rebalance tool for rebalance-focused prompts', () => {
     expect(
       determineToolPlan({
@@ -328,4 +338,282 @@ describe('AiAgentUtils', () => {
     expect(qualityCheck.check).toBe('response_quality');
     expect(qualityCheck.status).toBe('failed');
   });
+
+  it.each([
+    {
+      expected: ['AAPL', 'MSFT'],
+      query: 'Need AAPL plus MSFT update'
+    },
+    {
+      expected: ['BRK.B', 'VTI'],
+      query: 'Quote BRK.B and VTI'
+    },
+    {
+      expected: ['QQQ', 'SPY'],
+      query: 'Check $qqq against $spy'
+    },
+    {
+      expected: ['AAPL'],
+      query: 'Price for AAPL and THE and WHAT'
+    },
+    {
+      expected: [],
+      query: 'price for appl and tsla in lowercase without prefixes'
+    },
+    {
+      expected: ['AMD', 'NVDA'],
+      query: 'Show AMD then $nvda'
+    },
+    {
+      expected: ['BTCUSD'],
+      query: 'ticker BTCUSD now'
+    },
+    {
+      expected: ['MSFT'],
+      query: 'Quote MSFT, msft, and $msft'
+    },
+    {
+      expected: ['SHOP.TO'],
+      query: 'market for SHOP.TO'
+    },
+    {
+      expected: [],
+      query: 'what can you do'
+    }
+  ])('extractSymbolsFromQuery handles edge case: $query', ({ expected, query }) => {
+    expect(extractSymbolsFromQuery(query)).toEqual(expected);
+  });
+
+  it.each([
+    {
+      expectedTools: ['portfolio_analysis'],
+      query: 'portfolio overview'
+    },
+    {
+      expectedTools: ['portfolio_analysis'],
+      query: 'holdings summary'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan'],
+      query: 'allocation snapshot'
+    },
+    {
+      expectedTools: ['portfolio_analysis'],
+      query: 'performance review'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment'],
+      query: 'risk concentration report'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment'],
+      query: 'diversification check'
+    },
+    {
+      expectedTools: ['market_data_lookup'],
+      query: 'price for NVDA'
+    },
+    {
+      expectedTools: ['market_data_lookup'],
+      query: 'ticker quote for AAPL'
+    },
+    {
+      expectedTools: ['market_data_lookup'],
+      query: 'market context'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan'],
+      query: 'where should I invest next'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan'],
+      query: 'trim overweight positions'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan'],
+      query: 'sell and rebalance'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'stress_test'],
+      query: 'run a crash stress test'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'stress_test'],
+      query: 'drawdown shock analysis'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'stress_test'],
+      query: 'stress scenario'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan', 'market_data_lookup'],
+      query: 'rebalance portfolio and quote NVDA'
+    },
+    {
+      expectedTools: ['portfolio_analysis', 'risk_assessment', 'market_data_lookup'],
+      query: 'analyze risk and market price'
+    },
+    {
+      expectedTools: [],
+      query: 'who are you'
+    },
+    {
+      expectedTools: [],
+      query: 'hello there'
+    },
+    {
+      expectedTools: [],
+      query: 'help me with account settings'
+    }
+  ])(
+    'determineToolPlan returns expected tools for "$query"',
+    ({ expectedTools, query }) => {
+      expect(determineToolPlan({ query })).toEqual(expectedTools);
+    }
+  );
+
+  it.each([
+    {
+      expected: true,
+      query: 'How should I rebalance and reduce concentration risk?',
+      text:
+        'Trim your top position by 4% and direct the next 1500 USD to two smaller holdings. Recheck concentration after each contribution.'
+    },
+    {
+      expected: true,
+      query: 'What is my market price exposure?',
+      text:
+        'AAPL is 210.12 USD and MSFT is 455.90 USD. Market exposure remains concentrated in your top position.'
+    },
+    {
+      expected: false,
+      query: 'Should I buy more MSFT?',
+      text:
+        'As an AI, I cannot provide financial advice and you should consult a financial advisor.'
+    },
+    {
+      expected: false,
+      query: 'What are my risk metrics right now?',
+      text:
+        'Risk seems elevated overall with concentration concerns but no specific values are available.'
+    },
+    {
+      expected: false,
+      query: 'Where should I invest next?',
+      text:
+        'Consider your long-term goals.'
+    },
+    {
+      expected: true,
+      query: 'Where should I invest next?',
+      text:
+        'Allocate 70% of new money to positions outside your top holding and 30% to broad-market exposure. This lowers concentration without forced selling.'
+    },
+    {
+      expected: true,
+      query: 'Run stress drawdown estimate',
+      text:
+        'Under a 20% shock, estimated drawdown is 3200 USD and projected value is 12800 USD. Reduce single-name concentration to improve downside stability.'
+    },
+    {
+      expected: false,
+      query: 'Run stress drawdown estimate',
+      text:
+        'Stress impact could be meaningful and diversification may help over time.'
+    },
+    {
+      expected: false,
+      query: 'What is concentration risk now?',
+      text: 'Risk is high.'
+    },
+    {
+      expected: true,
+      query: 'What is concentration risk now?',
+      text:
+        'Top holding is 52.4% with HHI 0.331. Trim 2-4 percentage points from the top position or add to underweight holdings.'
+    }
+  ])(
+    'isGeneratedAnswerReliable=$expected for quality gate case',
+    ({ expected, query, text }) => {
+      expect(
+        isGeneratedAnswerReliable({
+          answer: text,
+          query
+        })
+      ).toBe(expected);
+    }
+  );
+
+  it.each([
+    {
+      expectedStatus: 'passed',
+      query: 'How should I rebalance risk?',
+      text:
+        'Top holding is 48%. Trim 3% from the largest position and add to two underweight holdings. Re-evaluate concentration in one week.'
+    },
+    {
+      expectedStatus: 'warning',
+      query: 'Show concentration and market price risk',
+      text:
+        'Concentration is elevated and diversification would improve resilience over time.'
+    },
+    {
+      expectedStatus: 'warning',
+      query: 'Where should I invest next?',
+      text:
+        'You can diversify over time by considering additional positions that fit your risk profile and timeline.'
+    },
+    {
+      expectedStatus: 'failed',
+      query: 'Where should I invest next?',
+      text:
+        'As an AI, I cannot provide financial advice and you should consult a financial advisor.'
+    },
+    {
+      expectedStatus: 'warning',
+      query: 'What is my drawdown risk right now?',
+      text:
+        'Drawdown risk exists and depends on current concentration and market volatility.'
+    },
+    {
+      expectedStatus: 'passed',
+      query: 'What is my drawdown risk right now?',
+      text:
+        'At a 20% shock, projected drawdown is 2600 USD. Reduce your top position by 2-3 points to lower downside risk concentration.'
+    },
+    {
+      expectedStatus: 'warning',
+      query: 'Show my market quote and risk',
+      text:
+        'AAPL is high and risk is elevated.'
+    },
+    {
+      expectedStatus: 'passed',
+      query: 'Show my market quote and risk',
+      text:
+        'AAPL is 212.40 USD and top holding concentration is 46.2%. Rebalance by directing new cash into lower-weight holdings.'
+    },
+    {
+      expectedStatus: 'warning',
+      query: 'Analyze performance and allocation',
+      text:
+        'Performance and allocation are stable.'
+    },
+    {
+      expectedStatus: 'passed',
+      query: 'Analyze performance and allocation',
+      text:
+        'Portfolio return is 8.4% and top allocation is 41.0%. Add to underweight positions to keep concentration from rising.'
+    }
+  ])(
+    'evaluateAnswerQuality returns $expectedStatus',
+    ({ expectedStatus, query, text }) => {
+      expect(
+        evaluateAnswerQuality({
+          answer: text,
+          query
+        }).status
+      ).toBe(expectedStatus);
+    }
+  );
 });

apps/api/src/app/endpoints/ai/ai.service.spec.ts

@@ -255,7 +255,7 @@ describe('AiService', () => {
       userId: 'user-direct-route'
     });
 
-    expect(result.answer).toContain('Ghostfolio AI assistant');
+    expect(result.answer).toContain('I am Ghostfolio AI');
     expect(result.toolCalls).toEqual([]);
     expect(result.citations).toEqual([]);
     expect(dataProviderService.getQuotes).not.toHaveBeenCalled();
@@ -291,6 +291,82 @@ describe('AiService', () => {
     expect(generateTextSpy).not.toHaveBeenCalled();
   });
 
+  it('routes ambiguous action follow-up query through recommendation tools when finance memory exists', async () => {
+    portfolioService.getDetails.mockResolvedValue({
+      holdings: {
+        USD: {
+          allocationInPercentage: 0.665,
+          dataSource: DataSource.MANUAL,
+          symbol: 'USD',
+          valueInBaseCurrency: 6650
+        },
+        VTI: {
+          allocationInPercentage: 0.159,
+          dataSource: DataSource.YAHOO,
+          symbol: 'VTI',
+          valueInBaseCurrency: 1590
+        },
+        AAPL: {
+          allocationInPercentage: 0.085,
+          dataSource: DataSource.YAHOO,
+          symbol: 'AAPL',
+          valueInBaseCurrency: 850
+        }
+      }
+    });
+    redisCacheService.get.mockImplementation(async (key: string) => {
+      if (key.startsWith('ai-agent-memory-user-follow-up-')) {
+        return JSON.stringify({
+          turns: [
+            {
+              answer:
+                'Risk concentration is high. Top holding allocation is 66.5%.',
+              query: 'help me diversify',
+              timestamp: '2026-02-24T12:00:00.000Z',
+              toolCalls: [
+                { status: 'success', tool: 'portfolio_analysis' },
+                { status: 'success', tool: 'risk_assessment' }
+              ]
+            }
+          ]
+        });
+      }
+
+      return undefined;
+    });
+    jest.spyOn(subject, 'generateText').mockResolvedValue({
+      text: 'Improve concentration by redirecting new cash to underweight holdings, trimming the top position in stages, and reassessing risk after each rebalance checkpoint.'
+    } as never);
+
+    const result = await subject.chat({
+      languageCode: 'en',
+      query: 'what can i do?',
+      sessionId: 'session-follow-up',
+      userCurrency: 'USD',
+      userId: 'user-follow-up'
+    });
+
+    expect(result.answer).toContain('Option 1 (new money first):');
+    expect(result.answer).toContain('Option 2 (sell and rebalance):');
+    expect(result.toolCalls).toEqual(
+      expect.arrayContaining([
+        expect.objectContaining({
+          status: 'success',
+          tool: 'portfolio_analysis'
+        }),
+        expect.objectContaining({
+          status: 'success',
+          tool: 'risk_assessment'
+        })
+      ])
+    );
+    expect(subject.generateText).toHaveBeenCalledWith(
+      expect.objectContaining({
+        prompt: expect.stringContaining('Recommendation context (JSON):')
+      })
+    );
+  });
+
   it('persists and recalls cross-session user preferences for the same user', async () => {
     const redisStore = new Map<string, string>();
     redisCacheService.get.mockImplementation(async (key: string) => {
@@ -466,7 +542,6 @@ describe('AiService', () => {
       userId: 'user-diversify-1'
     });
 
-    expect(result.answer).toContain('Next-step allocation:');
     expect(result.answer).toContain('AAPL');
     expect(result.answer).toContain('Option 1 (new money first):');
     expect(result.answer).toContain('Option 2 (sell and rebalance):');

apps/api/src/app/endpoints/ai/evals/ai-quality-eval.spec.ts

@@ -105,8 +105,9 @@ describe('AiReplyQualityEval', () => {
       userId: 'quality-user'
     });
 
-    expect(response.answer).toContain('Next-step allocation:');
+    expect(response.answer).toContain('Option 1 (new money first):');
     expect(response.answer).toContain('Largest long allocations:');
+    expect(response.answer).toContain('Risk notes:');
     expect(response.answer).not.toContain('As an AI');
     expect(response.verification).toEqual(
       expect.arrayContaining([
@@ -127,7 +128,7 @@ describe('AiReplyQualityEval', () => {
 
     const response = await subject.chat({
       languageCode: 'en',
-      query: 'How should I rebalance and invest next month?',
+      query: 'Summarize my concentration risk and allocation status.',
       sessionId: 'quality-eval-generated',
       userCurrency: 'USD',
       userId: 'quality-user'

apps/api/src/app/endpoints/ai/evals/dataset/edge-case.dataset.ts

@@ -141,7 +141,7 @@ export const EDGE_CASE_EVAL_CASES: AiAgentMvpEvalCase[] = [
   createEvalCase({
     category: 'edge_case',
     expected: {
-      answerIncludes: ['Session memory applied from 2 prior turn(s).'],
+      answerIncludes: ['Largest long allocations:'],
       memoryTurnsAtLeast: 3,
       requiredTools: ['portfolio_analysis']
     },
@@ -158,7 +158,7 @@ export const EDGE_CASE_EVAL_CASES: AiAgentMvpEvalCase[] = [
   createEvalCase({
     category: 'edge_case',
     expected: {
-      answerIncludes: ['Session memory applied from 1 prior turn(s).'],
+      answerIncludes: ['Largest long allocations:'],
       memoryTurnsAtLeast: 2,
       requiredTools: ['portfolio_analysis']
     },

apps/api/src/app/endpoints/ai/evals/dataset/multi-step.dataset.ts

@@ -131,7 +131,7 @@ export const MULTI_STEP_EVAL_CASES: AiAgentMvpEvalCase[] = [
   createEvalCase({
     category: 'multi_step',
     expected: {
-      answerIncludes: ['Session memory applied from 1 prior turn(s).'],
+      answerIncludes: ['Summary: concentration is'],
       memoryTurnsAtLeast: 2,
       requiredTools: ['portfolio_analysis', 'risk_assessment', 'rebalance_plan']
     },

apps/client/src/app/pages/portfolio/analysis/ai-chat-panel/ai-chat-panel.component.html

@@ -77,12 +77,13 @@
                   aria-label="Show response details"
                   class="chat-details-trigger ml-2"
                   i18n-aria-label
-                  mat-icon-button
+                  mat-stroked-button
                   type="button"
                   [matMenuTriggerFor]="responseDetailsMenu"
                   (click)="onOpenResponseDetails(message.response)"
                 >
-                  <mat-icon aria-hidden="true">info_outline</mat-icon>
+                  <mat-icon aria-hidden="true">info</mat-icon>
+                  <span i18n>Info</span>
                 </button>
               }
             </div>

apps/client/src/app/pages/portfolio/analysis/ai-chat-panel/ai-chat-panel.component.scss

@@ -66,16 +66,20 @@ textarea::selection {
 }
 
 .chat-details-trigger {
+  align-items: center;
   color: var(--ai-chat-muted-text);
-  height: 1.625rem;
+  display: inline-flex;
+  gap: 0.2rem;
+  height: 1.75rem;
   line-height: 1;
-  width: 1.625rem;
+  min-width: 0;
+  padding: 0 0.4rem;
 }
 
 .chat-details-trigger mat-icon {
-  font-size: 1rem;
-  height: 1rem;
-  width: 1rem;
+  font-size: 0.95rem;
+  height: 0.95rem;
+  width: 0.95rem;
 }
 
 .prompt-list {

apps/client/src/app/pages/portfolio/analysis/ai-chat-panel/ai-chat-panel.component.spec.ts

@@ -181,6 +181,7 @@ describe('GfAiChatPanelComponent', () => {
     ) as HTMLButtonElement | null;
 
     expect(detailsTrigger).toBeTruthy();
+    expect(detailsTrigger?.textContent).toContain('Info');
 
     detailsTrigger?.click();
     fixture.detectChanges();

tasks/lessons.md

@@ -36,6 +36,22 @@ Updated: 2026-02-24
    Mistake: Treated npm publication as the only completion path for contribution evidence
    Rule: When package publication is blocked, ship the tool in-repo and open upstream PRs in high-signal repositories to preserve external contribution progress.
 
-9. Context: Memory feature validation after chat/session persistence rollout
+9. Context: AI chat UX feedback on response readability
+   Mistake: Diagnostic metadata remained inline with assistant answers, reducing answer clarity
+   Rule: Keep primary assistant messages user-facing only and place diagnostics (confidence, citations, verification, observability) behind an explicit info-triggered popover.
+
+10. Context: Memory feature validation after chat/session persistence rollout
    Mistake: Session-scoped memory shipped without an explicit user-scoped preference path for cross-session continuity.
    Rule: When memory requirements mention user preferences, implement and test both session memory and user-level memory keyed independently from session IDs.
+
+11. Context: Large table-driven Jest test expansion for policy routing and arithmetic behavior
+   Mistake: Mixed tuple/string/object datasets under a single typed `it.each` signature created preventable TypeScript compile failures.
+   Rule: Keep each table shape typed independently (`it.each<[...tuple]>()` for positional rows and object generics only for object rows).
+
+12. Context: Ambiguous user follow-up prompts in a finance assistant ("what can i do?")
+   Mistake: Capability-style routing captured actionable follow-up intent and bypassed tool-backed recommendation generation.
+   Rule: Treat ambiguous action follow-ups as recommendation intent when finance context exists, and lock this with deterministic service tests.
+
+13. Context: Recommendation replies looked short and repetitive even when tool context was available
+   Mistake: Reliability gating accepted generic recommendation prose that lacked option sections and actionable structure.
+   Rule: For recommendation-intent prompts, enforce sectioned output quality gates (Option 1/2 + assumptions/risk notes/next questions) and fall back to deterministic option plans when structure is missing.

tasks/tasks.md

@@ -226,14 +226,62 @@ Last updated: 2026-02-24
 
 ## Session Plan (2026-02-24, Chat Details Popover UX)
 
-- [ ] Audit current AI chat response rendering and identify diagnostics shown inline.
-- [ ] Move diagnostics (confidence, citations, verification, observability) behind an info-triggered popover per assistant message.
-- [ ] Keep main assistant response focused on user-facing answer and retain feedback controls in primary view.
-- [ ] Update chat panel tests to assert info-trigger behavior and diagnostics visibility expectations.
-- [ ] Run focused frontend verification and update trackers (`Tasks.md`, `tasks/tasks.md`, `tasks/lessons.md`).
+- [x] Audit current AI chat response rendering and identify diagnostics shown inline.
+- [x] Move diagnostics (confidence, citations, verification, observability) behind an info-triggered popover per assistant message.
+- [x] Keep main assistant response focused on user-facing answer and retain feedback controls in primary view.
+- [x] Update chat panel tests to assert info-trigger behavior and diagnostics visibility expectations.
+- [x] Run focused frontend verification and update trackers (`Tasks.md`, `tasks/tasks.md`, `tasks/lessons.md`).
+
+## Session Plan (2026-02-24, Diversification Reply Actionability Fix)
+
+- [x] Reproduce and inspect `help me diversify` routing and fallback behavior in AI service.
+- [x] Add deterministic diversification-action fallback guidance when LLM output is unavailable or rejected.
+- [x] Add targeted helper/service tests for diversification prompt behavior.
+- [x] Run focused verification (`npm run test:ai`) and update tracker notes.
+
+## Session Plan (2026-02-24, Recommendation Composer Prompting)
+
+- [ ] Add action-intent recommendation mode detection in AI answer builder.
+- [ ] Build and inject structured recommendation context (concentration + constraints placeholders) into LLM prompting.
+- [ ] Strengthen recommendation instructions to produce option-based actionable plans with assumptions and follow-up questions.
+- [ ] Add targeted tests for recommendation-mode prompt composition.
+- [ ] Run focused verification (`npm run test:ai`) and update tracker notes.
+
+## Session Plan (2026-02-24, Chat Reply Detail + Hidden Diagnostics Follow-up)
+
+- [x] Remove session-memory status text from user-facing assistant answers.
+- [x] Improve no-tool direct assistant replies so identity/help prompts produce distinct, more detailed responses.
+- [x] Enforce recommendation-mode fallback structure when generated answers are too short or lack option sections.
+- [x] Update chat diagnostics trigger to show `i` icon with visible `Info` label while keeping details hidden in popover.
+- [x] Run focused verification on touched API/client suites and update tracker evidence.
+
+## Session Plan (2026-02-24, AI + Eval Coverage to 100+)
+
+- [x] Audit current AI test count and eval dataset size against 100+ targets.
+- [x] Add deterministic AI unit tests for policy routing, arithmetic handling, planning heuristics, and response quality guards.
+- [x] Expand eval datasets to at least 100 cases with balanced category coverage and edge/adversarial depth.
+- [x] Raise eval runner guardrails to assert 100+ total dataset size and updated category minimums.
+- [x] Run focused verification (`npm run test:ai`, `npm run test:mvp-eval`) and update trackers (`Tasks.md`, `tasks/tasks.md`, `tasks/lessons.md`).
+
+## Session Plan (2026-02-24, Recommendation Follow-Up Routing Fix)
+
+- [x] Reproduce and isolate why `what can i do?` returns capability fallback after a risk turn.
+- [x] Route ambiguous action follow-up queries with recent finance memory through tools to unlock recommendation-mode generation.
+- [x] Add deterministic AI service tests for follow-up recommendation behavior and guard against capability fallback regression.
+- [x] Run focused verification (`npm run test:ai`) and update trackers (`Tasks.md`, `tasks/tasks.md`, `tasks/lessons.md`).
 
 ## Verification Notes
 
+- Chat reply detail + hidden diagnostics follow-up verification (local, 2026-02-24):
+  - `npm run test:ai` (10/10 suites passed, 181/181 tests)
+  - `npm run test:mvp-eval` (1/1 suite passed, 2/2 tests)
+  - `npx dotenv-cli -e .env.example -- npx jest apps/client/src/app/pages/portfolio/analysis/ai-chat-panel/ai-chat-panel.component.spec.ts --config apps/client/jest.config.ts` (8/8 tests passed)
+  - `npx nx run api:lint` (passed with existing workspace warnings)
+  - `npx nx run client:lint` (passed with existing workspace warnings)
+- Chat details popover UX verification (2026-02-24):
+  - `npx dotenv-cli -e .env.example -- npx jest apps/client/src/app/pages/portfolio/analysis/ai-chat-panel/ai-chat-panel.component.spec.ts --config apps/client/jest.config.ts`
+  - `npx nx run client:lint`
+  - `npx nx run client:build:development-en`
 - `nx run api:lint` completed successfully (existing workspace warnings only).
 - Full `nx test api` currently fails in pre-existing portfolio calculator suites unrelated to AI endpoint changes.
 - Focused MVP verification passed:
@@ -312,3 +360,14 @@ Last updated: 2026-02-24
 - Cross-session user preference memory verification (local, 2026-02-24):
   - `npm run test:ai` (9/9 suites passed, 54/54 tests)
   - `npx nx run api:lint` (passes with existing workspace warnings)
+- Diversification reply actionability fix verification (local, 2026-02-24):
+  - `npm run test:ai` (9/9 suites passed, 56/56 tests)
+  - `npx nx run api:lint` (passes with existing workspace warnings)
+- AI + eval coverage to 100+ verification (local, 2026-02-24):
+  - `npm run test:ai` (10/10 suites passed, 176/176 tests)
+  - `npm run test:mvp-eval` (1/1 suite passed; dataset and pass-rate gates enforced)
+  - `npx tsx -e "import { AI_AGENT_MVP_EVAL_DATASET } from './apps/api/src/app/endpoints/ai/evals/mvp-eval.dataset.ts'; ..."` (109 total eval cases; category counts: happy_path 43, edge_case 26, adversarial 20, multi_step 20)
+- Recommendation follow-up routing fix verification (local, 2026-02-24):
+  - `npx dotenv-cli -e .env.example -- npx jest apps/api/src/app/endpoints/ai/ai.service.spec.ts apps/api/src/app/endpoints/ai/ai-agent.chat.helpers.spec.ts apps/api/src/app/endpoints/ai/ai-agent.utils.spec.ts apps/api/src/app/endpoints/ai/ai-agent.policy.utils.spec.ts --config apps/api/jest.config.ts` (4/4 suites passed, 167/167 tests)
+  - `npm run test:ai` (10/10 suites passed, 181/181 tests)
+  - `npm run test:mvp-eval` (1/1 suite passed)