Draft Consulting Proposals From Client Urls with Anthropic and Gemini

The workflow JSON

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{
  "id": "gv2PH2ZULEQz5JCC",
  "meta": {
    "templateCredsSetupCompleted": true
  },
  "name": "InstaPitch \u2014 Multi-Agent Consulting Proposal Automator",
  "tags": [],
  "nodes": [
    {
      "id": "2472624e-e759-4fac-8962-9b362fc45e59",
      "name": "TigerPitch - Receive Inputs",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -800,
        -400
      ],
      "parameters": {
        "path": "tigerpitch-generate",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2.1
    },
    {
      "id": "749f92f2-4f5c-481e-8040-94c3cf91eeb1",
      "name": "Fetch Company Website",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueErrorOutput",
      "maxTries": 2,
      "position": [
        -224,
        -384
      ],
      "parameters": {
        "url": "={{ \"https://r.jina.ai/\" + $json.body.company_url }}",
        "options": {
          "timeout": 30000,
          "allowUnauthorizedCerts": true
        },
        "sendHeaders": true,
        "headerParameters": {
          "parameters": [
            {
              "name": "Accept",
              "value": "text/plain"
            }
          ]
        }
      },
      "retryOnFail": true,
      "typeVersion": 4.4,
      "waitBetweenTries": 3000
    },
    {
      "id": "e1231dd0-88bf-40e7-8fb5-186b18e8b862",
      "name": "Website Content Handler",
      "type": "n8n-nodes-base.code",
      "position": [
        0,
        -384
      ],
      "parameters": {
        "jsCode": "const inputData =\n  $('TigerPitch - Receive Inputs').item.json;\n\nlet websiteContent = '';\nlet fetchStatus = '';\n\ntry {\n\n  const websiteFetch =\n    $('Fetch Company Website').item;\n\n  const raw =\n    websiteFetch.json?.data ||\n    websiteFetch.json?.body ||\n    websiteFetch.json ||\n    '';\n\n  const text =\n    typeof raw === 'string'\n      ? raw\n      : JSON.stringify(raw);\n\n  if (text && text.length > 100) {\n\n    websiteContent =\n      text.substring(0, 3000);\n\n    fetchStatus = 'website_success';\n\n  } else {\n\n    throw new Error('Empty website content');\n  }\n\n} catch (e1) {\n\n  try {\n\n    const searchFetch =\n      $('Search Company Fallback').item;\n\n    const raw =\n      searchFetch.json?.data ||\n      searchFetch.json?.body ||\n      searchFetch.json ||\n      '';\n\n    const text =\n      typeof raw === 'string'\n        ? raw\n        : JSON.stringify(raw);\n\n    if (text && text.length > 100) {\n\n      websiteContent =\n        text.substring(0, 3000);\n\n      fetchStatus = 'search_success';\n\n    } else {\n\n      throw new Error('Empty search content');\n    }\n\n  } catch (e2) {\n\n    fetchStatus = 'fallback_knowledge';\n\n    websiteContent =\n      `Company: ${inputData.company_name}.\n       Industry: ${inputData.industry}.\n       Website and search unavailable.\n       Use your training knowledge about this company and industry.`;\n  }\n}\n\nreturn [\n  {\n    json: {\n      ...inputData,\n\n      website_content: websiteContent,\n\n      fetch_status: fetchStatus,\n    }\n  }\n];"
      },
      "typeVersion": 2
    },
    {
      "id": "00bbaed5-2795-4d06-95ce-ab553f2495d2",
      "name": "Extract Research Data",
      "type": "n8n-nodes-base.code",
      "position": [
        704,
        -384
      ],
      "parameters": {
        "jsCode": "let researchData = {};\n\ntry {\n  // Anthropic node returns: content[0].text\n  const rawText = $input.first().json\n    ?.content?.[0]?.text || '{}';\n\n  // Clean any backticks just in case\n  let cleaned = rawText\n    .replace(/```json/gi, '')\n    .replace(/```/g, '')\n    .trim();\n\n  // Extract between first { and last }\n  const firstBrace = cleaned.indexOf('{');\n  const lastBrace = cleaned.lastIndexOf('}');\n\n  if (firstBrace !== -1 && lastBrace !== -1) {\n    cleaned = cleaned.substring(firstBrace, lastBrace + 1);\n    researchData = JSON.parse(cleaned);\n  } else {\n    throw new Error('No JSON found');\n  }\n\n} catch (e) {\n  researchData = {\n    company_overview: 'Research unavailable',\n    products_services: 'Information unavailable',\n    company_size: 'Unknown',\n    recent_initiatives: 'No recent initiatives identified',\n    technology_mentioned: 'No technology information available',\n    visible_pain_points: 'Business pain points could not be identified',\n    data_source: 'fallback'\n  };\n}\n\nconst webhookData = $('TigerPitch - Receive Inputs').first().json;\nconst handlerData = $('Website Content Handler').first().json;\n\nreturn {\n  ...webhookData,\n  ...handlerData,\n  research_data: researchData,\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "458ad887-0723-4379-87b0-36553dbd47a2",
      "name": "Extract Industry Data",
      "type": "n8n-nodes-base.code",
      "position": [
        1360,
        -384
      ],
      "parameters": {
        "jsCode": "let industryData = {};\n\ntry {\n  // Anthropic node returns: content[0].text\n  const rawText = $input.first().json\n    ?.content?.[0]?.text || '{}';\n\n  let cleaned = rawText\n    .replace(/```json/gi, '')\n    .replace(/```/g, '')\n    .trim();\n\n  const firstBrace = cleaned.indexOf('{');\n  const lastBrace = cleaned.lastIndexOf('}');\n\n  if (firstBrace !== -1 && lastBrace !== -1) {\n    cleaned = cleaned.substring(firstBrace, lastBrace + 1);\n    industryData = JSON.parse(cleaned);\n  } else {\n    throw new Error('No JSON found');\n  }\n\n} catch (e) {\n  industryData = {\n    industry_trends: 'Industry trends unavailable',\n    common_root_causes: 'Root cause analysis unavailable',\n    benchmark_data: 'Benchmark data unavailable',\n    decision_maker_priorities: 'Decision maker priorities unavailable',\n    ai_opportunities: 'AI opportunity analysis unavailable',\n    competitive_context: 'Competitive context unavailable'\n  };\n}\n\nconst prev = $('Extract Research Data').first().json;\n\nreturn {\n  ...prev,\n  industry_data: industryData,\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "3ebca7d5-48ac-422b-9d96-dc8f8cfe86c3",
      "name": "Solution Router",
      "type": "n8n-nodes-base.if",
      "position": [
        2352,
        -352
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "version": 3,
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "loose"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "87688609-e3ec-47a6-b845-b5efc89a7e79",
              "operator": {
                "type": "string",
                "operation": "equals",
                "singleValue": true
              },
              "leftValue": "={{ $('TigerPitch - Receive Inputs').item.json.body.solution_preference }}",
              "rightValue": "ai_suggest"
            }
          ]
        },
        "looseTypeValidation": true
      },
      "typeVersion": 2.3
    },
    {
      "id": "9557a5e3-4cf2-44c7-9b8b-dacb807a3238",
      "name": "Solution Refiner - Gemini",
      "type": "n8n-nodes-base.httpRequest",
      "onError": "continueRegularOutput",
      "maxTries": 3,
      "position": [
        2944,
        112
      ],
      "parameters": {
        "url": "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent",
        "method": "POST",
        "options": {},
        "jsonBody": "={\n  \"contents\": [{\n    \"parts\": [{\n      \"text\": \"You are a senior consulting strategist.\\n\\nThe user has their own solution idea. Professionally refine, structure and elevate it into a clear consulting solution approach.\\n\\nUSER'S SOLUTION IDEA:\\n{{ $json.own_solution }}\\n\\nCOMPANY RESEARCH:\\n{{ JSON.stringify($json.research_data) }}\\n\\nINDUSTRY CONTEXT:\\n{{ JSON.stringify($json.industry_data) }}\\n\\nCLIENT PROBLEM: {{ $json.problem_statement }}\\nBUDGET: {{ $json.budget_range }}\\nTIMELINE: {{ $json.timeline }}\\nDECISION MAKER: {{ $json.decision_maker }}\\n\\nINSTRUCTIONS:\\n- Keep the user's core idea intact\\n- Improve clarity, structure and professional language\\n- Add specific phases and deliverables\\n- Make it relevant to the client's research data\\n\\nReturn ONLY a valid JSON object with no markdown, no explanation:\\n{\\n  \\\"option_number\\\": 1,\\n  \\\"title\\\": \\\"professional solution title derived from user's idea\\\",\\n  \\\"description\\\": \\\"2 clear professional sentences describing the solution\\\",\\n  \\\"approach\\\": \\\"structured 3-phase approach based on user's idea\\\",\\n  \\\"key_deliverables\\\": \\\"3 specific deliverables the client will receive\\\",\\n  \\\"best_for\\\": \\\"which type of client or situation this is best suited for\\\",\\n  \\\"estimated_effort\\\": \\\"medium\\\",\\n  \\\"expected_outcome\\\": \\\"specific measurable result the client can expect\\\"\\n}\"\n    }]\n  }],\n  \"generationConfig\": {\n    \"temperature\": 0.4,\n    \"maxOutputTokens\": 1000,\n    \"responseMimeType\": \"application/json\"\n  }\n}",
        "sendBody": true,
        "specifyBody": "json",
        "authentication": "genericCredentialType",
        "genericAuthType": "httpQueryAuth"
      },
      "credentials": {
        "httpQueryAuth": {
          "name": "<your credential>"
        }
      },
      "retryOnFail": true,
      "typeVersion": 4.4,
      "waitBetweenTries": 2000
    },
    {
      "id": "fdd0b6eb-0f03-4a57-969c-f60fffd628de",
      "name": "Extract Solutions",
      "type": "n8n-nodes-base.code",
      "position": [
        3152,
        -352
      ],
      "parameters": {
        "jsCode": "let solutions = [];\nconst prev = $('Knowledge Base Lookup').first().json;\n\ntry {\n  const rawText = $input.first().json\n    ?.content?.[0]?.text || '';\n\n  if (!rawText) throw new Error('Empty');\n\n  let cleaned = rawText\n    .replace(/[\\u0000-\\u001F\\u007F-\\u009F]/g, ' ')\n    .replace(/```json/gi, '')\n    .replace(/```/g, '')\n    .trim();\n\n  // Find array or object\n  const firstBracket = cleaned.indexOf('[');\n  const lastBracket = cleaned.lastIndexOf(']');\n  const firstBrace = cleaned.indexOf('{');\n  const lastBrace = cleaned.lastIndexOf('}');\n\n  if (firstBracket !== -1 && lastBracket !== -1) {\n    // Normal array response\n    const jsonStr = cleaned.substring(firstBracket, lastBracket + 1);\n    solutions = JSON.parse(jsonStr);\n  } else if (firstBrace !== -1 && lastBrace !== -1) {\n    // Single object \u2014 wrap in array\n    const jsonStr = cleaned.substring(firstBrace, lastBrace + 1);\n    const parsed = JSON.parse(jsonStr);\n    // Check if it has solutions array inside\n    if (parsed.solutions && Array.isArray(parsed.solutions)) {\n      solutions = parsed.solutions;\n    } else {\n      solutions = [parsed];\n    }\n  } else {\n    throw new Error('No JSON found');\n  }\n\n  // Add option numbers if missing\n  solutions = solutions.map((s, i) => ({\n    ...s,\n    option_number: s.option_number || (i + 1)\n  }));\n\n  // Validate we have 3\n  if (!Array.isArray(solutions) || solutions.length === 0) {\n    throw new Error('Empty solutions');\n  }\n\n} catch (e) {\n  solutions = [\n    {\n      option_number: 1,\n      title: 'Predictive Analytics Solution',\n      description: 'Build a predictive model to identify and address the core business problem proactively.',\n      approach: 'Phase 1: Data audit \u2192 Phase 2: Model build \u2192 Phase 3: Deploy',\n      key_deliverables: 'Predictive model, Dashboard, Playbook',\n      best_for: 'Organizations with good data infrastructure',\n      estimated_effort: 'medium',\n      expected_outcome: '20-30% improvement within 3 months'\n    },\n    {\n      option_number: 2,\n      title: 'Data Intelligence Platform',\n      description: 'Create a unified analytics platform delivering real-time actionable insights.',\n      approach: 'Phase 1: Data consolidation \u2192 Phase 2: Analytics layer \u2192 Phase 3: Training',\n      key_deliverables: 'Data platform, Dashboards, Training',\n      best_for: 'Organizations needing better data visibility',\n      estimated_effort: 'high',\n      expected_outcome: 'Unified view of all key business metrics'\n    },\n    {\n      option_number: 3,\n      title: 'Quick Win POC',\n      description: 'Fast 4-week proof of concept demonstrating immediate measurable value.',\n      approach: 'Phase 1: Scoping \u2192 Phase 2: Prototype \u2192 Phase 3: Roadmap',\n      key_deliverables: 'Working prototype, ROI analysis, Roadmap',\n      best_for: 'Organizations wanting to validate before full investment',\n      estimated_effort: 'low',\n      expected_outcome: 'Validated approach with clear ROI projection'\n    }\n  ];\n}\n\nreturn {\n  ...prev,\n  solutions: solutions,\n  status: 'solutions_ready'\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "d73eaa77-710e-4da6-8edb-87bb4369617b",
      "name": "Extract Refined Solution",
      "type": "n8n-nodes-base.code",
      "position": [
        3152,
        112
      ],
      "parameters": {
        "jsCode": "let refinedSolution = {};\nconst prev = $('Knowledge Base Lookup').first().json;\n\ntry {\n  const rawText = $input.first().json\n    ?.content?.[0]?.text || '';\n\n  let cleaned = rawText\n    .replace(/[\\u0000-\\u001F\\u007F-\\u009F]/g, ' ')\n    .replace(/```json/gi, '')\n    .replace(/```/g, '')\n    .trim();\n\n  const firstBrace = cleaned.indexOf('{');\n  const lastBrace = cleaned.lastIndexOf('}');\n\n  if (firstBrace !== -1 && lastBrace !== -1) {\n    refinedSolution = JSON.parse(\n      cleaned.substring(firstBrace, lastBrace + 1)\n    );\n  } else {\n    throw new Error('No JSON found');\n  }\n\n} catch(e) {\n  refinedSolution = {\n    option_number: 1,\n    title: 'Custom Solution Approach',\n    description: prev.body?.own_solution || 'User defined solution',\n    approach: 'Phase 1: Discovery \u2192 Phase 2: Build \u2192 Phase 3: Deploy',\n    key_deliverables: 'Custom solution, Documentation, Training',\n    best_for: 'Tailored to specific client needs',\n    estimated_effort: 'medium',\n    expected_outcome: 'Measurable improvement in identified problem area'\n  };\n}\n\nconst response = {\n  status: \"own_solution_ready\",\n  company_name: prev.body?.company_name || prev.company_name || '',\n  industry: prev.body?.industry || prev.industry || '',\n  decision_maker: prev.body?.decision_maker || prev.decision_maker || '',\n  problem_statement: prev.body?.problem_statement || prev.problem_statement || '',\n  business_impact: prev.body?.business_impact || prev.business_impact || '',\n  technologies: prev.body?.technologies || prev.technologies || [],\n  delivery_type: prev.body?.delivery_type || prev.delivery_type || '',\n  timeline: prev.body?.timeline || prev.timeline || '',\n  budget_range: prev.body?.budget_range || prev.budget_range || '',\n  selected_solution: refinedSolution,\n  solutions: [refinedSolution],\n  research_data: prev.research_data || {},\n  industry_data: prev.industry_data || {},\n  kb_context: prev.kb_context || '',\n  has_kb: prev.has_kb || false\n};\n\nreturn { response: JSON.stringify(response) };"
      },
      "typeVersion": 2
    },
    {
      "id": "a7bdb133-e361-4036-80ce-3a3794bb1afd",
      "name": "Return Solutions to Frontend",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        3616,
        -304
      ],
      "parameters": {
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "application/json"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "=={{ $json.response }}"
      },
      "retryOnFail": true,
      "typeVersion": 1.5
    },
    {
      "id": "417b295e-edca-4a7a-996c-9f53eca30bca",
      "name": "Receive Selected Solution",
      "type": "n8n-nodes-base.webhook",
      "position": [
        -816,
        224
      ],
      "parameters": {
        "path": "tigerpitch-solution",
        "options": {},
        "httpMethod": "POST",
        "responseMode": "responseNode"
      },
      "typeVersion": 2.1
    },
    {
      "id": "9901d78e-7e58-4f19-81be-ba9d450ebd35",
      "name": "Extract Pain Map",
      "type": "n8n-nodes-base.code",
      "position": [
        -240,
        224
      ],
      "parameters": {
        "jsCode": "let painMap = {};\n\ntry {\n  const rawText = $input.first().json\n    ?.content?.[0]?.text || '{}';\n\n  let cleaned = rawText\n    .replace(/```json/gi, '')\n    .replace(/```/g, '')\n    .trim();\n\n  const firstBrace = cleaned.indexOf('{');\n  const lastBrace = cleaned.lastIndexOf('}');\n\n  if (firstBrace !== -1 && lastBrace !== -1) {\n    cleaned = cleaned.substring(firstBrace, lastBrace + 1);\n    painMap = JSON.parse(cleaned);\n  } else {\n    throw new Error('No JSON found');\n  }\n\n  if (!painMap.pain_points) {\n    throw new Error('Invalid pain map structure');\n  }\n\n} catch (e) {\n  const prev = $('Receive Selected Solution').first().json;\n\n  painMap = {\n    pain_points: [\n      {\n        pain: prev.body?.problem_statement || 'Business challenge identified',\n        root_cause: 'Limited visibility into operational and customer intelligence',\n        solution_component: prev.body?.selected_solution?.title || 'AI-driven analytics solution',\n        expected_outcome: 'Improved decision-making and operational efficiency',\n        timeframe: prev.body?.timeline || '3 months'\n      }\n    ],\n    overall_value_statement: 'AI-driven modernization designed to improve business performance.',\n    roi_indicator: 'Expected measurable ROI within 6-12 months'\n  };\n}\n\nconst prev = $('Receive Selected Solution').first().json;\n\nreturn {\n  ...prev,\n  pain_map: painMap\n};"
      },
      "typeVersion": 2
    },
    {
      "id": "a73377a3-18d7-4323-abbf-67265b750156",
      "name": "PDF Formatter",
      "type": "n8n-nodes-base.code",
      "position": [
        640,
        368
      ],
      "parameters": {
        "jsCode": "const data = $input.first().json || {};\nconst rawProposal = data.proposal || {};\n\n// Map all 11 new sections\nconst p = {\n  engagement_title:     rawProposal.engagement_title     || 'AI-Powered Analytics Program',\n  situation_assessment: rawProposal.situation_assessment || 'Not available',\n  root_cause_diagnosis: rawProposal.root_cause_diagnosis || 'Not available',\n  tiger_pov:            rawProposal.tiger_pov            || 'Not available',\n  proposed_solution:    rawProposal.proposed_solution    || 'Not available',\n  pain_solution_map:    rawProposal.pain_solution_map    || 'Not available',\n  tiger_accelerators:   rawProposal.tiger_accelerators   || 'Not available',\n  investment_roi:       rawProposal.investment_roi       || 'Not available',\n  risk_mitigation:      rawProposal.risk_mitigation      || 'Not available',\n  our_team:             rawProposal.our_team             || 'Not available',\n  credentials:          rawProposal.credentials          || 'Not available',\n  next_steps:           rawProposal.next_steps           || 'Not available',\n};\n\nconst company      = data.body?.company_name   || data.company_name   || 'Unknown Company';\nconst decisionMaker= data.body?.decision_maker || data.decision_maker || 'Decision Maker';\nconst industry     = data.body?.industry       || data.industry       || '';\nconst budget       = data.body?.budget_range   || data.budget_range   || '';\nconst timeline     = data.body?.timeline       || data.timeline       || '';\nconst delivery     = data.body?.delivery_type  || data.delivery_type  || '';\nconst hasKB        = data.body?.has_kb         || data.has_kb         || false;\nconst kbIndustry   = data.body?.kb_industry    || data.kb_industry    || '';\n\nconst date = new Date().toLocaleDateString('en-IN', {\n  year: 'numeric', month: 'long', day: 'numeric'\n});\n\n// Safe string converter\nconst safe = (val) => {\n  if (val === null || val === undefined) return 'Not available';\n  if (Array.isArray(val)) return val.join(', ');\n  if (typeof val === 'object') return JSON.stringify(val);\n  return String(val).replace(/\\n/g, ' ');\n};\n\n// Parse || separated items into array\nconst parseItems = (text) => {\n  if (!text || text === 'Not available') return [];\n  return text.split('||').map(s => s.trim()).filter(Boolean);\n};\n\n// Parse root causes (CAUSE 1: title \u2014 desc || CAUSE 2...)\nconst renderRootCauses = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const colors = ['#DC2626','#B45309','#1A3C6E'];\n  const bgColors = ['#FEE2E2','#FEF3C7','#EEF4FB'];\n\n  return items.map((item, i) => {\n    const parts = item.split('\u2014').map(s => s.trim());\n    const title = parts[0].replace(/^CAUSE\\s*\\d+:\\s*/i, '').trim();\n    const desc  = parts[1] || '';\n    const rest  = parts.slice(2).join('\u2014').trim();\n    return `\n    <div style=\"display:flex;gap:14px;padding:14px 16px;background:${bgColors[i]||'#F5F5F5'};border-radius:8px;margin-bottom:10px;border:1px solid ${colors[i]||'#ccc'}20;\">\n      <div style=\"width:28px;height:28px;border-radius:50%;background:${colors[i]||'#888'};color:white;font-weight:700;font-size:12px;display:flex;align-items:center;justify-content:center;flex-shrink:0;\">${i+1}</div>\n      <div>\n        <div style=\"font-weight:700;font-size:13px;color:#1A1A1A;margin-bottom:4px;\">${title}</div>\n        ${desc ? `<div style=\"font-size:13px;color:#555;line-height:1.6;\">${desc}</div>` : ''}\n        ${rest ? `<div style=\"margin-top:6px;display:inline-block;padding:2px 10px;background:${colors[i]||'#888'}20;border-radius:4px;font-size:11px;font-weight:700;color:${colors[i]||'#888'};\">${rest}</div>` : ''}\n      </div>\n    </div>`;\n  }).join('');\n};\n\n// Parse phases (PHASE 1 (Wk X-X): what | Team: who | Outcome: result)\nconst renderPhases = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const phColors = ['#1A3C6E','#E07B2A','#16A34A','#7C3AED'];\n\n  return `\n  <table style=\"width:100%;border-collapse:collapse;font-size:13px;\">\n    <thead>\n      <tr>\n        ${['Phase','Deliverables','Team','Timeline','Outcome'].map(h =>\n          `<th style=\"background:#1A3C6E;color:white;padding:10px 12px;text-align:left;font-size:12px;\">${h}</th>`\n        ).join('')}\n      </tr>\n    </thead>\n    <tbody>\n      ${items.map((item, i) => {\n        const phaseMatch = item.match(/PHASE\\s*(\\d+)[^:]*:\\s*(.*?)(?=\\|Team:|$)/i);\n        const teamMatch  = item.match(/Team:\\s*(.*?)(?=\\|Outcome:|$)/i);\n        const outcomeMatch = item.match(/Outcome:\\s*(.*?)$/i);\n        const weekMatch  = item.match(/\\(Wk[s]?\\s*([\\d\\-]+)\\)/i);\n\n        const phaseNum   = phaseMatch?.[1] || (i+1).toString();\n        const phaseDesc  = phaseMatch?.[2]?.trim() || item;\n        const team       = teamMatch?.[1]?.trim()  || 'Tiger Analytics Team';\n        const outcome    = outcomeMatch?.[1]?.trim()|| '';\n        const weeks      = weekMatch?.[1] ? `Wk ${weekMatch[1]}` : '';\n        const bg         = i % 2 === 0 ? '#F8FAFC' : '#FFFFFF';\n\n        return `\n        <tr style=\"background:${bg};\">\n          <td style=\"padding:11px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;\">\n            <span style=\"width:24px;height:24px;border-radius:50%;background:${phColors[i]||'#888'};color:white;font-weight:700;font-size:11px;display:inline-flex;align-items:center;justify-content:center;margin-right:8px;\">${phaseNum}</span>\n          </td>\n          <td style=\"padding:11px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:13px;\">${phaseDesc}</td>\n          <td style=\"padding:11px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:12px;color:#555;\">${team}</td>\n          <td style=\"padding:11px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;\"><span style=\"background:#EEF4FB;color:#1A3C6E;padding:2px 8px;border-radius:4px;font-size:11px;font-weight:600;\">${weeks}</span></td>\n          <td style=\"padding:11px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:12px;color:#16A34A;font-weight:600;\">${outcome}</td>\n        </tr>`;\n      }).join('')}\n    </tbody>\n  </table>`;\n};\n\n// Parse pain solution map\nconst renderPainMap = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const sevColors = { critical:'#DC2626', high:'#B45309', medium:'#1A3C6E' };\n  const sevBg     = { critical:'#FEE2E2', high:'#FEF3C7', medium:'#EEF4FB' };\n\n  return `\n  <table style=\"width:100%;border-collapse:collapse;font-size:13px;\">\n    <thead>\n      <tr>\n        ${['Pain Point','Severity','Solution','Outcome','By'].map(h =>\n          `<th style=\"background:#1A3C6E;color:white;padding:10px 12px;text-align:left;font-size:12px;\">${h}</th>`\n        ).join('')}\n      </tr>\n    </thead>\n    <tbody>\n      ${items.map((item, i) => {\n        const painMatch     = item.match(/PAIN:\\s*(.*?)(?=\\|SEVERITY:|$)/i);\n        const sevMatch      = item.match(/SEVERITY:\\s*(.*?)(?=\\|ROOT CAUSE:|$)/i);\n        const solMatch      = item.match(/SOLUTION:\\s*(.*?)(?=\\|OUTCOME:|$)/i);\n        const outcomeMatch  = item.match(/OUTCOME:\\s*(.*?)(?=\\|BY:|$)/i);\n        const byMatch       = item.match(/BY:\\s*(.*?)$/i);\n\n        const pain    = painMatch?.[1]?.trim()    || item;\n        const sev     = (sevMatch?.[1]?.trim()    || 'High').toLowerCase();\n        const sol     = solMatch?.[1]?.trim()     || '';\n        const outcome = outcomeMatch?.[1]?.trim() || '';\n        const by      = byMatch?.[1]?.trim()      || '';\n        const bg      = i % 2 === 0 ? '#F8FAFC' : '#FFFFFF';\n        const color   = sevColors[sev] || sevColors.high;\n        const bgSev   = sevBg[sev]    || sevBg.high;\n\n        return `\n        <tr style=\"background:${bg};\">\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:13px;\">\n            <span style=\"display:inline-block;padding:2px 7px;border-radius:4px;font-size:10px;font-weight:700;background:${bgSev};color:${color};margin-bottom:4px;\">${sev.toUpperCase()}</span><br>${pain}\n          </td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;\"><span style=\"padding:3px 9px;border-radius:4px;background:${bgSev};color:${color};font-size:11px;font-weight:700;\">${sev.charAt(0).toUpperCase()+sev.slice(1)}</span></td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:13px;\">${sol}</td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:12px;color:#16A34A;font-weight:600;\">${outcome}</td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;\"><span style=\"background:#EEF4FB;color:#1A3C6E;padding:2px 8px;border-radius:4px;font-size:11px;font-weight:600;\">${by}</span></td>\n        </tr>`;\n      }).join('')}\n    </tbody>\n  </table>`;\n};\n\n// Parse accelerators\nconst renderAccelerators = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  return `<div style=\"display:grid;grid-template-columns:repeat(3,1fr);gap:12px;\">\n    ${items.map(item => {\n      const nameMatch  = item.match(/NAME:\\s*(.*?)(?=\\|WHAT:|$)/i);\n      const whatMatch  = item.match(/WHAT:\\s*(.*?)(?=\\|SAVES:|$)/i);\n      const savesMatch = item.match(/SAVES:\\s*(.*?)$/i);\n      const name  = nameMatch?.[1]?.trim()  || item;\n      const what  = whatMatch?.[1]?.trim()  || '';\n      const saves = savesMatch?.[1]?.trim() || '';\n      return `\n      <div style=\"border:1.5px solid #E2E8F0;border-radius:10px;padding:14px;\">\n        <div style=\"font-weight:700;font-size:13px;color:#1A3C6E;margin-bottom:6px;\">\u26a1 ${name}</div>\n        <div style=\"font-size:12px;color:#555;line-height:1.5;margin-bottom:8px;\">${what}</div>\n        ${saves ? `<span style=\"background:#DCFCE7;color:#16A34A;padding:3px 10px;border-radius:20px;font-size:11px;font-weight:700;\">Saves ${saves}</span>` : ''}\n      </div>`;\n    }).join('')}\n  </div>`;\n};\n\n// Parse investment ROI\nconst renderROI = (text) => {\n  if (!text || text === 'Not available') return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const parts = text.split('||').map(s => s.trim());\n  const phasePart = parts[0] || '';\n  const roiPart   = parts[1] || '';\n\n  const phaseRows = phasePart.split('|').map(s => s.trim()).filter(Boolean);\n  const roiItems  = roiPart.split('|').map(s => s.trim()).filter(Boolean);\n\n  return `\n  <div style=\"display:grid;grid-template-columns:1fr 1fr;gap:16px;\">\n    <div>\n      <div style=\"font-size:12px;font-weight:700;color:#1A3C6E;margin-bottom:10px;text-transform:uppercase;letter-spacing:.5px;\">Phase Investment</div>\n      <table style=\"width:100%;border-collapse:collapse;font-size:13px;\">\n        ${phaseRows.map((row, i) => {\n          const [label, val] = row.split(':').map(s => s.trim());\n          const isTotal = label?.toLowerCase().includes('total');\n          return `<tr style=\"background:${isTotal ? '#EEF4FB' : i%2===0?'#F8FAFC':'#FFF'};\">\n            <td style=\"padding:9px 12px;border-bottom:1px solid #E2E8F0;${isTotal?'font-weight:700;color:#1A3C6E;':''}\">${label||''}</td>\n            <td style=\"padding:9px 12px;border-bottom:1px solid #E2E8F0;text-align:right;font-weight:700;${isTotal?'color:#1A3C6E;':''}\">${val||''}</td>\n          </tr>`;\n        }).join('')}\n      </table>\n    </div>\n    <div>\n      <div style=\"font-size:12px;font-weight:700;color:#1A3C6E;margin-bottom:10px;text-transform:uppercase;letter-spacing:.5px;\">Return on Investment</div>\n      ${roiItems.map(item => {\n        const [label, val] = item.split(':').map(s => s.trim());\n        const isPayback = label?.toLowerCase().includes('payback');\n        const isRisk    = label?.toLowerCase().includes('risk') || label?.toLowerCase().includes('loss');\n        const isROI     = label?.toLowerCase().includes('roi');\n        const bg    = isPayback ? '#1A3C6E' : isRisk ? '#FEE2E2' : '#DCFCE7';\n        const color = isPayback ? 'white'   : isRisk ? '#DC2626' : '#16A34A';\n        const textColor = isPayback ? 'rgba(255,255,255,.8)' : '#555';\n        return `\n        <div style=\"display:flex;justify-content:space-between;align-items:center;padding:9px 14px;border-radius:7px;background:${bg};margin-bottom:6px;\">\n          <span style=\"font-size:13px;color:${textColor};\">${label||''}</span>\n          <span style=\"font-weight:700;font-size:14px;color:${color};\">${val||''}</span>\n        </div>`;\n      }).join('')}\n    </div>\n  </div>`;\n};\n\n// Parse risk mitigation\nconst renderRisks = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const likColors = { high:'#DC2626', medium:'#B45309', low:'#16A34A' };\n  const likBg     = { high:'#FEE2E2', medium:'#FEF3C7', low:'#DCFCE7' };\n\n  return `\n  <table style=\"width:100%;border-collapse:collapse;font-size:13px;\">\n    <thead>\n      <tr>\n        ${['Risk','Likelihood','Tiger Mitigation','Protection'].map(h =>\n          `<th style=\"background:#F8FAFC;color:#1A1A1A;padding:10px 12px;text-align:left;font-size:12px;font-weight:700;border-bottom:2px solid #E2E8F0;\">${h}</th>`\n        ).join('')}\n      </tr>\n    </thead>\n    <tbody>\n      ${items.map((item, i) => {\n        const riskMatch  = item.match(/RISK:\\s*(.*?)(?=\\|LIKELIHOOD:|$)/i);\n        const likeMatch  = item.match(/LIKELIHOOD:\\s*(.*?)(?=\\|MITIGATION:|$)/i);\n        const mitMatch   = item.match(/MITIGATION:\\s*(.*?)(?=\\|PROTECTION:|$)/i);\n        const protMatch  = item.match(/PROTECTION:\\s*(.*?)$/i);\n\n        const risk  = riskMatch?.[1]?.trim()  || item;\n        const like  = (likeMatch?.[1]?.trim() || 'Medium').toLowerCase();\n        const mit   = mitMatch?.[1]?.trim()   || '';\n        const prot  = protMatch?.[1]?.trim()  || '';\n        const color = likColors[like] || likColors.medium;\n        const bg    = likBg[like]    || likBg.medium;\n        const rowBg = i % 2 === 0 ? '#F8FAFC' : '#FFFFFF';\n\n        return `\n        <tr style=\"background:${rowBg};\">\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;font-weight:600;vertical-align:top;\">${risk}</td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;\"><span style=\"padding:3px 9px;border-radius:4px;background:${bg};color:${color};font-size:11px;font-weight:700;\">${like.charAt(0).toUpperCase()+like.slice(1)}</span></td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:13px;color:#555;\">${mit}</td>\n          <td style=\"padding:10px 12px;border-bottom:1px solid #E2E8F0;vertical-align:top;font-size:12px;color:#16A34A;font-weight:600;\">${prot}</td>\n        </tr>`;\n      }).join('')}\n    </tbody>\n  </table>`;\n};\n\n// Parse team\nconst renderTeam = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const avatarColors = ['#1A3C6E','#E07B2A','#16A34A','#7C3AED'];\n\n  return `<div style=\"display:grid;grid-template-columns:repeat(4,1fr);gap:12px;\">\n    ${items.map((item, i) => {\n      const roleMatch  = item.match(/ROLE:\\s*(.*?)(?=\\|EXP:|$)/i);\n      const expMatch   = item.match(/EXP:\\s*(.*?)(?=\\|SKILL:|$)/i);\n      const skillMatch = item.match(/SKILL:\\s*(.*?)$/i);\n      const role  = roleMatch?.[1]?.trim()  || item;\n      const exp   = expMatch?.[1]?.trim()   || '';\n      const skill = skillMatch?.[1]?.trim() || '';\n      const initials = role.split(' ').map(w=>w[0]).join('').substring(0,2).toUpperCase();\n      const color = avatarColors[i] || '#1A3C6E';\n      return `\n      <div style=\"border:1px solid #E2E8F0;border-radius:10px;padding:14px;text-align:center;\">\n        <div style=\"width:44px;height:44px;border-radius:50%;background:${color};color:white;font-weight:700;font-size:14px;display:flex;align-items:center;justify-content:center;margin:0 auto 10px;\">${initials}</div>\n        <div style=\"font-weight:700;font-size:12px;color:#1A3C6E;margin-bottom:4px;\">${role}</div>\n        <div style=\"font-size:11px;color:#555;margin-bottom:8px;line-height:1.4;\">${exp}</div>\n        ${skill ? `<span style=\"background:#EEF4FB;color:#1A3C6E;padding:2px 8px;border-radius:4px;font-size:10px;font-weight:600;\">${skill}</span>` : ''}\n      </div>`;\n    }).join('')}\n  </div>`;\n};\n\n// Parse credentials\nconst renderCredentials = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  const credColors = ['#FEF3C7','#EEF4FB','#EDE9FE','#DCFCE7'];\n  const credIcons  = ['\ud83c\udfc6','\u2601\ufe0f','\ud83d\udcca','\ud83c\udf0f'];\n\n  return `<div style=\"display:grid;grid-template-columns:1fr 1fr;gap:12px;\">\n    ${items.map((item, i) => {\n      const awardMatch = item.match(/(?:AWARD|CREDENTIAL):\\s*(.*?)(?=\\|RELEVANCE:|$)/i);\n      const relMatch   = item.match(/RELEVANCE:\\s*(.*?)$/i);\n      const award = awardMatch?.[1]?.trim() || item;\n      const rel   = relMatch?.[1]?.trim()   || '';\n      return `\n      <div style=\"background:${credColors[i]||'#F5F5F5'};border-radius:9px;padding:14px;\">\n        <div style=\"font-size:20px;margin-bottom:6px;\">${credIcons[i]||'\u2b50'}</div>\n        <div style=\"font-weight:700;font-size:13px;margin-bottom:4px;\">${award}</div>\n        <div style=\"font-size:12px;color:#555;line-height:1.4;\">${rel}</div>\n      </div>`;\n    }).join('')}\n  </div>`;\n};\n\n// Parse next steps timeline\nconst renderNextSteps = (text) => {\n  const items = parseItems(text);\n  if (!items.length) return `<div class=\"section-box\">${safe(text)}</div>`;\n\n  return `<div style=\"display:flex;flex-direction:column;gap:0;\">\n    ${items.map((item, i) => {\n      const whenMatch  = item.match(/WHEN:\\s*(.*?)(?=\\|(?:TITLE|ACTION):|$)/i);\n      const titleMatch = item.match(/(?:TITLE|ACTION):\\s*(.*?)(?=\\|DESC(?:RIPTION)?:|$)/i);\n      const descMatch  = item.match(/DESC(?:RIPTION)?:\\s*(.*?)$/i);\n      const when  = whenMatch?.[1]?.trim()  || '';\n      const title = titleMatch?.[1]?.trim() || item;\n      const desc  = descMatch?.[1]?.trim()  || '';\n      const isLast = i === items.length - 1;\n      return `\n      <div style=\"display:flex;gap:0;\">\n        <div style=\"display:flex;flex-direction:column;align-items:center;width:48px;flex-shrink:0;\">\n          <div style=\"width:36px;height:36px;border-radius:50%;background:#1A3C6E;color:white;font-weight:700;font-size:13px;display:flex;align-items:center;justify-content:center;\">${i+1}</div>\n          ${!isLast ? `<div style=\"width:2px;background:#E2E8F0;flex:1;margin:4px 0;min-height:20px;\"></div>` : ''}\n        </div>\n        <div style=\"padding:0 0 ${isLast?'0':'24px'} 16px;flex:1;\">\n          ${when ? `<div style=\"font-size:11px;font-weight:700;color:#E07B2A;margin-bottom:3px;\">${when}</div>` : ''}\n          <div style=\"font-weight:700;font-size:14px;color:#1A1A1A;margin-bottom:4px;\">${title}</div>\n          ${desc ? `<div style=\"font-size:13px;color:#555;line-height:1.5;\">${desc}</div>` : ''}\n        </div>\n      </div>`;\n    }).join('')}\n  </div>`;\n};\n\n// Build complete HTML\nconst html = `<!DOCTYPE html>\n<html lang=\"en\">\n<head>\n<meta charset=\"UTF-8\">\n<title>Proposal \u2014 ${safe(company)}</title>\n<style>\n* { margin:0; padding:0; box-sizing:border-box; }\nbody { font-family:'Segoe UI',Arial,sans-serif; color:#1A1A1A; background:#F0F4FA; }\n.page { max-width:960px; margin:0 auto; background:white; }\n.header { background:linear-gradient(135deg,#0F2544,#1A3C6E); color:white; padding:40px 48px; position:relative; overflow:hidden; }\n.header::before { content:''; position:absolute; top:-60px; right:-60px; width:200px; height:200px; border-radius:50%; background:rgba(255,255,255,.05); }\n.header-tag { display:inline-block; background:rgba(255,255,255,.15); color:#F0C080; padding:4px 14px; border-radius:20px; font-size:12px; font-weight:700; margin-bottom:14px; }\n.header h1 { font-size:28px; margin-bottom:6px; }\n.header-sub { font-size:14px; opacity:.8; margin-bottom:20px; }\n.header-divider { width:60px; height:3px; background:#E07B2A; border-radius:2px; margin-bottom:16px; }\n.header-meta { display:flex; gap:24px; flex-wrap:wrap; font-size:13px; opacity:.85; }\n.header-meta strong { color:#F0C080; }\n.stats { display:grid; grid-template-columns:repeat(4,1fr); background:white; border-bottom:1px solid #E2E8F0; }\n.stat { padding:20px; text-align:center; border-right:1px solid #E2E8F0; }\n.stat:last-child { border-right:none; }\n.stat-icon { font-size:20px; margin-bottom:6px; }\n.stat-num { font-size:26px; font-weight:800; margin-bottom:3px; }\n.stat-label { font-size:11px; color:#64748B; }\n.content { padding:32px 48px; }\n.section-card { background:white; border-radius:12px; border:1px solid #E2E8F0; margin-bottom:20px; overflow:hidden; box-shadow:0 1px 3px rgba(0,0,0,.06); }\n.section-header { padding:14px 20px; border-bottom:1px solid #E2E8F0; background:#F8FAFC; display:flex; align-items:center; gap:10px; }\n.section-num { width:26px; height:26px; border-radius:50%; background:#1A3C6E; color:white; font-size:11px; font-weight:700; display:flex; align-items:center; justify-content:center; flex-shrink:0; }\n.section-title { font-size:14px; font-weight:700; color:#1A3C6E; }\n.section-body { padding:20px; }\n.section-box { font-size:14px; line-height:1.85; color:#1A1A1A; background:#EEF4FB; padding:16px 18px; border-radius:8px; border-left:4px solid #1A3C6E; }\n.pov-box { background:linear-gradient(135deg,#0F2544,#1A3C6E); border-radius:10px; padding:20px; color:white; }\n.pov-label { font-size:10px; font-weight:700; text-transform:uppercase; letter-spacing:1px; color:#F0C080; margin-bottom:8px; }\n.pov-text { font-size:14px; line-height:1.8; opacity:.95; }\n.kb-badge { display:inline-block; background:#EEF4FB; color:#1A3C6E; padding:3px 12px; border-radius:20px; font-size:11px; font-weight:700; margin-left:8px; }\n.footer { background:#0F2544; color:white; padding:20px 48px; display:flex; justify-content:space-between; font-size:12px; opacity:.9; }\n</style>\n</head>\n<body>\n<div class=\"page\">\n\n  <!-- HEADER -->\n  <div class=\"header\">\n    <div class=\"header-tag\">\ud83d\udc2f Tiger Analytics \u00b7 Confidential Proposal</div>\n    <h1>${safe(p.engagement_title)}</h1>\n    <div class=\"header-divider\"></div>\n    <div class=\"header-sub\">Prepared for ${safe(company)} \u00b7 ${safe(decisionMaker)} \u00b7 ${industry}</div>\n    <div class=\"header-meta\">\n      <span><strong>Date:</strong> ${date}</span>\n      <span><strong>Budget:</strong> ${safe(budget)}</span>\n      <span><strong>Timeline:</strong> ${safe(timeline)}</span>\n      <span><strong>Delivery:</strong> ${safe(delivery)}</span>\n      ${hasKB ? `<span><strong>KB:</strong> ${kbIndustry} Knowledge Base Active \u2713</span>` : ''}\n    </div>\n  </div>\n\n  <!-- STAT CARDS -->\n  <div class=\"stats\">\n    <div class=\"stat\"><div class=\"stat-icon\">\ud83d\udcb8</div><div class=\"stat-num\" style=\"color:#DC2626;\">$12M</div><div class=\"stat-label\">Revenue at Risk</div></div>\n    <div class=\"stat\"><div class=\"stat-icon\">\ud83d\udcc9</div><div class=\"stat-num\" style=\"color:#E07B2A;\">25-30%</div><div class=\"stat-label\">Target Improvement</div></div>\n    <div class=\"stat\"><div class=\"stat-icon\">\u26a1</div><div class=\"stat-num\" style=\"color:#16A34A;\">4-6 wks</div><div class=\"stat-label\">Payback Period</div></div>\n    <div class=\"stat\"><div class=\"stat-icon\">\ud83d\udcc5</div><div class=\"stat-num\" style=\"color:#1A3C6E;\">${safe(timeline)}</div><div class=\"stat-label\">Engagement Timeline</div></div>\n  </div>\n\n  <div class=\"content\">\n\n    <!-- 1. SITUATION -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">1</div><div class=\"section-title\">Situation Assessment</div></div>\n      <div class=\"section-body\"><div class=\"section-box\">${safe(p.situation_assessment)}</div></div>\n    </div>\n\n    <!-- 2. ROOT CAUSE -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">2</div><div class=\"section-title\">Root Cause Diagnosis</div></div>\n      <div class=\"section-body\">${renderRootCauses(p.root_cause_diagnosis)}</div>\n    </div>\n\n    <!-- 3. TIGER POV -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">3</div><div class=\"section-title\">Tiger Analytics Point of View</div></div>\n      <div class=\"section-body\">\n        <div class=\"pov-box\">\n          <div class=\"pov-label\">\ud83d\udc2f Expert Perspective</div>\n          <div class=\"pov-text\">${safe(p.tiger_pov)}</div>\n        </div>\n      </div>\n    </div>\n\n    <!-- 4. SOLUTION -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">4</div><div class=\"section-title\">Proposed Solution</div></div>\n      <div class=\"section-body\">${renderPhases(p.proposed_solution)}</div>\n    </div>\n\n    <!-- 5. PAIN MAP -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">5</div><div class=\"section-title\">Pain Point \u2192 Solution Mapping</div></div>\n      <div class=\"section-body\">${renderPainMap(p.pain_solution_map)}</div>\n    </div>\n\n    <!-- 6. ACCELERATORS -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">6</div><div class=\"section-title\">Tiger Analytics Accelerators</div></div>\n      <div class=\"section-body\">${renderAccelerators(p.tiger_accelerators)}</div>\n    </div>\n\n    <!-- 7. INVESTMENT -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">7</div><div class=\"section-title\">Investment & ROI</div></div>\n      <div class=\"section-body\">${renderROI(p.investment_roi)}</div>\n    </div>\n\n    <!-- 8. RISK -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">8</div><div class=\"section-title\">Risk Mitigation</div></div>\n      <div class=\"section-body\">${renderRisks(p.risk_mitigation)}</div>\n    </div>\n\n    <!-- 9. TEAM -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">9</div><div class=\"section-title\">Our Team for This Engagement</div></div>\n      <div class=\"section-body\">${renderTeam(p.our_team)}</div>\n    </div>\n\n    <!-- 10. CREDENTIALS -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">10</div><div class=\"section-title\">Tiger Analytics Credentials</div></div>\n      <div class=\"section-body\">${renderCredentials(p.credentials)}</div>\n    </div>\n\n    <!-- 11. NEXT STEPS -->\n    <div class=\"section-card\">\n      <div class=\"section-header\"><div class=\"section-num\">11</div><div class=\"section-title\">Next Steps</div></div>\n      <div class=\"section-body\">${renderNextSteps(p.next_steps)}</div>\n    </div>\n\n  </div>\n\n  <!-- FOOTER -->\n  <div class=\"footer\">\n    <span>\ud83d\udc2f TigerPitch \u00b7 Tiger Analytics \u00b7 Confidential \u00b7 Not for External Distribution</span>\n    <span>Generated: ${date} ${hasKB ? `\u00b7 ${kbIndustry} KB Active` : ''}</span>\n  </div>\n\n</div>\n</body>\n</html>`;\n\nreturn [{\n  json: {\n    ...data,\n    html_proposal: html,\n    status: 'completed',\n    generated_at: data.generated_at || new Date().toISOString(),\n  }\n}];"
      },
      "typeVersion": 2
    },
    {
      "id": "c0158c40-2d0f-4bbf-9dce-1d9b6da75ca7",
      "name": "Return Final Proposal to Frontend",
      "type": "n8n-nodes-base.respondToWebhook",
      "position": [
        1056,
        368
      ],
      "parameters": {
        "options": {
          "responseHeaders": {
            "entries": [
              {
                "name": "Content-Type",
                "value": "application/json"
              }
            ]
          }
        },
        "respondWith": "text",
        "responseBody": "={{ $json.response }}"
      },
      "retryOnFail": true,
      "typeVersion": 1.5
    },
    {
      "id": "97e81d34-03dd-43b9-bb69-106becee85fb",
      "name": "Industry Agent",
      "type": "@n8n/n8n-nodes-langchain.anthropic",
      "position": [
        1008,
        -384
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gemini-2.5-flash",
          "cachedResultName": "gemini-2.5-flash"
        },
        "options": {
          "system": "You are a senior industry strategy analyst working for Tiger Analytics.  Your responsibility is to analyze industry-specific business challenges and identify AI, analytics, and digital transformation opportunities relevant to enterprise consulting proposals.  Guidelines: - Focus on enterprise business value - Provide practical and industry-relevant insights - Emphasize AI, analytics, automation, operational efficiency, customer experience, and decision intelligence - Tailor insights based on the decision maker role - Be concise, strategic, and professional - Never use markdown - Never explain reasoning - Return ONLY valid JSON"
        },
        "messages": {
          "values": [
            {
              "content": "=Analyze the following business and industry context.\n\nINDUSTRY:\n{{ $json.body.industry }}\n\nPROBLEM STATEMENT:\n{{ $json.body.problem_statement }}\n\nBUSINESS IMPACT:\n{{ $json.body.business_impact }}\n\nDECISION MAKER:\n{{ $json.body.decision_maker }}\n\nCOMPANY RESEARCH:\n{{ JSON.stringify($json.research_data) }}\n\nReturn JSON in this exact structure:\n\n{\n  \"industry_trends\": \"\",\n  \"common_root_causes\": \"\",\n  \"benchmark_data\": \"\",\n  \"decision_maker_priorities\": \"\",\n  \"ai_opportunities\": \"\",\n  \"competitive_context\": \"\"\n}"
            }
          ]
        }
      },
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      },
      "retryOnFail": true,
      "typeVersion": 1
    },
    {
      "id": "b0f712d2-0bbb-4606-b0de-69c863d37a89",
      "name": "Research Agent",
      "type": "@n8n/n8n-nodes-langchain.anthropic",
      "position": [
        384,
        -384
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gemini-2.5-flash",
          "cachedResultName": "gemini-2.5-flash"
        },
        "options": {
          "system": "You are a senior business research analyst working for Tiger Analytics, a data and AI consulting company.  Your responsibility is to analyze company and industry information and generate structured business intelligence for AI consulting proposals.  Guidelines: - Always provide factual, business-oriented insights - Focus on AI, analytics, automation, customer experience, operational efficiency, and digital transformation opportunities - If website content is unavailable, use general industry and company knowledge - Be concise, specific, and professional - Never return markdown - Never explain your reasoning - Return ONLY valid JSON"
        },
        "messages": {
          "values": [
            {
              "content": "=Analyze this company:\n\nDATA SOURCE STATUS:\n{{ $json.fetch_status }}\n\nCompany:\n{{ $json.body.company_name }}\n\nIndustry:\n{{ $json.body.industry }}\n\nWebsite Content:\n{{ $json.website_content }}\n\nReturn JSON with:\n- company_overview\n- products_services\n- recent_initiatives\n- technology_mentioned\n- visible_pain_points"
            }
          ]
        }
      },
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      },
      "retryOnFail": true,
      "typeVersion": 1
    },
    {
      "id": "5ab34193-b904-4514-9dc0-920b6ccb9cfc",
      "name": "Proposal Drafter agent",
      "type": "@n8n/n8n-nodes-langchain.anthropic",
      "position": [
        48,
        384
      ],
      "parameters": {
        "modelId": {
          "__rl": true,
          "mode": "list",
          "value": "gemini-2.5-flash",
          "cachedResultName": "gemini-2.5-flash"
        },
        "options": {
          "system": "You are a senior proposal strategist at Tiger Analytics, a global leader in AI and analytics consulting trusted by Fortune 1000 companies.\n\nTiger Analytics facts to reference:\n- 4000+ team of technologists and consultants\n- Partnerships with AWS, Google Cloud, Microsoft, Databricks\n- Recognized by Forrester, Gartner, Everest Group, ISG\n- 2025 Databricks Enterprise AI Partner of the Year\n- Microsoft Partner of the Year finalist 2025\n- Accelerators: TigerML, Tiger Blueprints, Tiger DataSphere, Tiger AI Hub\n- Industries: CPG, Retail, BFS, Insurance, Manufacturing, Life Sciences, Healthcare\n\nYour job is to write proposals that sound like they were written by a 10-year industry veteran \u2014 not a chatbot.\n\nRules:\n- Always use the actual company name \u2014 never [Client Name]\n- Always use industry-specific KPIs and terminology from the knowledge base\n- Every number must be specific and grounded in the research provided\n- Tailor every section to the decision maker role\n- Never use markdown formatting inside JSON values\n- Never use ** bold or bullet points with * or -\n- Write plain prose strings only\n- Never include real newlines inside JSON string values\n- Return ONLY valid JSON \u2014 no backticks, no explanation",
          "maxTokens": 4096
        },
        "messages": {
          "values": [
            {
              "content": "==Generate a complete McKinsey-level enterprise consulting proposal for Tiger Analytics.\n\nCLIENT DETAILS:\nCompany: {{ $json.body?.company_name || $json.company_name }}\nIndustry: {{ $json.body?.industry || $json.industry }}\nDecision Maker: {{ $json.body?.decision_maker || $json.decision_maker }}\nProblem Statement: {{ $json.body?.problem_statement || $json.problem_statement }}\nBusiness Impact: {{ $json.body?.business_impact || $json.business_impact }}\nBudget Range: {{ $json.body?.budget_range || $json.budget_range }}\nTimeline: {{ $json.body?.timeline || $json.timeline }}\nDelivery Type: {{ $json.body?.delivery_type || $json.delivery_type }}\nTechnologies: {{ JSON.stringify($json.body?.technologies || $json.technologies || []) }}\n\nCOMPANY RESEARCH:\n{{ JSON.stringify($json.body?.research_data || $json.research_data || {}) }}\n\nINDUSTRY CONTEXT:\n{{ JSON.stringify($json.body?.industry_data || $json.industry_data || {}) }}\n\nSELECTED SOLUTION:\n{{ JSON.stringify($json.body?.selected_solution || $json.selected_solution || {}) }}\n\nPAIN POINT MAPPING:\n{{ JSON.stringify($json.pain_map || {}) }}\n\n{{ $json.body?.kb_context || $json.kb_context || '' }}\n\nCRITICAL INSTRUCTIONS:\n- Use actual company name throughout \u2014 NEVER use [Client Name] or placeholders\n- Use industry-specific terminology from the KB above\n- Reference at least 3 KPIs by name with specific numbers\n- Every number must be specific \u2014 never say \"significant improvement\"\n- Tailor tone completely for the decision maker role\n- Never use markdown, never use ** for bold, never use bullet points\n- Write all values as plain prose strings only\n- Never include newlines inside JSON string values\n- Return ONLY valid JSON \u2014 no backticks, no labels, no explanation\n\nReturn ONLY this exact JSON. Keep each field under 200 words. Be concise:\n{\n\"engagement_title\": \"3-5 word professional engagement name like McKinsey uses. Example: Customer Retention Intelligence Program, Credit Risk Modernization Initiative, Digital Claims Transformation Program. Make it specific to the company and problem.\",\n  \"situation_assessment\": \"2-3 sentences max with specific numbers\",\n  \"root_cause_diagnosis\": \"3 causes separated by || format: CAUSE 1: title \u2014 desc || CAUSE 2: ...\",\n  \"tiger_pov\": \"2-3 sentences max\",\n  \"proposed_solution\": \"4 phases separated by || format: PHASE 1 (Wk 1-4): what | Team: who | Outcome: result || PHASE 2...\",\n  \"pain_solution_map\": \"3 pains separated by || format: PAIN: x | SEVERITY: y | SOLUTION: z | OUTCOME: metric || ...\",\n  \"tiger_accelerators\": \"3 accelerators separated by || format: NAME: x | SAVES: y weeks || ...\",\n  \"investment_roi\": \"PHASE 1: $X | PHASE 2: $X | TOTAL: $X || ROI: X% | PAYBACK: X weeks | DAILY COST: $X\",\n  \"risk_mitigation\": \"3 risks separated by || format: RISK: x | LIKELIHOOD: y | MITIGATION: z || ...\",\n  \"our_team\": \"4 members separated by || format: ROLE: x | EXP: y | SKILL: z || ...\",\n  \"credentials\": \"3 credentials separated by || format: AWARD: x | RELEVANCE: y || ...\",\n  \"next_steps\": \"4 steps separated by || format: STEP 1 | WHEN: x | ACTION: y || ...\"\n}"
            }
          ]
        }
      },
      "credentials": {
        "anthropicApi": {
          "name": "<your credential>"
        }
      },
      "retryOnFail": true,
      "typeVersion": 1
    },
    {
      "id": "1d69e131-0253-4917-b82a-ee99a7b545ea",
      "name": "Knowledge Base Lookup",
      "type": "n8n-nodes-base.code",
      "position": [
        1776,
        -352
      ],
      "parameters": {
        "jsCode": "const KB = {\n  \"Insurance\": {\n    terms: \"lapse rate, persistency ratio, premium, policyholder, underwriting, actuarial, reinsurance, endorsement, claims frequency, loss ratio\",\n    kpis: \"loss ratio, combined ratio, lapse rate, persistency rate, claims settlement ratio, NPS, solvency margin\",\n    regulations: \"IRDAI guidelines, IFRS17, Solvency II, Insurance Act 1938\",\n    pain_points: \"policy lapse, claims fraud, underwriting inaccuracy, mis-selling, slow claims settlement, agent productivity\",\n    tech: \"Guidewire, Duck Creek, Majesco, SAS, Salesforce Financial Services Cloud\",\n    solution_patterns: \"lapse prediction model, claims fraud detection, underwriting automation, agent performance analytics, customer lifetime value modeling\"\n  },\n  \"Banking & Financial Services\": {\n    terms: \"NPA, CASA ratio, AUM, credit underwriting, KYC, AML, delinquency, write-off, cross-sell, CLTV\",\n    kpis: \"Capital Adequacy Ratio, Net Interest Margin, ROE, NPA ratio, CLTV, CASA ratio, cost-to-income ratio\",\n    regulations: \"RBI guidelines, Basel III, SEBI regulations, PCI DSS, FEMA, IND AS\",\n    pain_points: \"credit risk, AML compliance, customer attrition, cross-sell failure, fraud detection, regulatory reporting\",\n    tech: \"Temenos, Finastra, FIS, Murex, Bloomberg Terminal, Salesforce\",\n    solution_patterns: \"credit risk scoring, AML transaction monitoring, customer churn prediction, cross-sell propensity model, fraud detection\"\n  },\n  \"Healthcare\": {\n    terms: \"readmission, ALOS, revenue cycle, EMR, prior authorization, claim denial, ICD codes, patient no-show, care gap\",\n    kpis: \"bed occupancy rate, ALOS, claim denial rate, readmission rate, patient satisfaction score, net collection rate\",\n    regulations: \"HIPAA, HL7, FHIR, NABH, CMS guidelines, HITECH Act\",\n    pain_points: \"high readmission rates, revenue cycle inefficiency, staff burnout, patient no-shows, billing errors, care coordination gaps\",\n    tech: \"Epic, Cerner, Meditech, Allscripts, Salesforce Health Cloud, AWS HealthLake\",\n    solution_patterns: \"readmission prediction, revenue cycle optimization, patient no-show prediction, care gap identification, clinical decision support\"\n  },\n  \"Retail & E-Commerce\": {\n    terms: \"basket size, SKU rationalization, GMV, AOV, CAC, LTV, cart abandonment, planogram, shrinkage, RFM\",\n    kpis: \"GMV, AOV, CAC, LTV, cart abandonment rate, inventory turnover, NPS, repeat purchase rate\",\n    regulations: \"CCPA, GDPR, PCI DSS, Consumer Protection Act\",\n    pain_points: \"cart abandonment, inventory stockouts, high CAC, low repeat purchase, returns fraud, demand forecasting\",\n    tech: \"Salesforce Commerce, SAP, Oracle Retail, Shopify, Snowflake, Databricks\",\n    solution_patterns: \"churn prediction, demand forecasting, recommendation engine, price optimization, inventory optimization, RFM segmentation\"\n  },\n  \"Telecom\": {\n    terms: \"churn, ARPU, MNP, prepaid/postpaid, network latency, CX transformation, subscriber, MVNO\",\n    kpis: \"ARPU, churn rate, NPS, network uptime, customer acquisition cost, CSAT, revenue per user\",\n    regulations: \"TRAI guidelines, GDPR, spectrum regulations, DOT compliance\",\n    pain_points: \"subscriber churn, ARPU decline, network quality issues, customer service costs, SIM fraud, roaming analytics\",\n    tech: \"Amdocs, Oracle Communications, Salesforce, Hadoop, Spark, Kafka\",\n    solution_patterns: \"churn prediction, network anomaly detection, ARPU uplift model, customer segmentation, next-best-offer engine\"\n  },\n  \"Manufacturing\": {\n    terms: \"OEE, yield rate, predictive maintenance, downtime, six sigma, OTIF, BOM, MRP, shop floor\",\n    kpis: \"OEE, yield rate, downtime percentage, inventory turnover, defect rate, OTIF, scrap rate\",\n    regulations: \"ISO 9001, ISO 14001, OSHA, ISO 45001\",\n    pain_points: \"unplanned downtime, quality defects, supply chain disruption, high inventory costs, energy waste\",\n    tech: \"SAP ERP, Siemens MindSphere, PTC ThingWo

Credentials you'll need

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• anthropicApi
• httpQueryAuth

About this workflow

This workflow uses webhooks, Jina AI website scraping, Anthropic-powered agents, and the Google Gemini API to generate consulting proposal options from a company URL, then drafts a structured 11-section proposal and returns it to a frontend as JSON and HTML. Receives a POST…

Source: https://n8n.io/workflows/15894/ — original creator credit. Request a take-down →

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