// Fit Check form + recommendation engine + result page const FIT_FIELDS = [ { id: "workload", label: "Workload", options: [ "Internal knowledge base", "Customer service chatbot", "Contract review", "Financial research assistant", "AI coding assistant", "Ecommerce support", "Agent workflow", ], }, { id: "sensitivity", label: "Data sensitivity", options: ["Public", "Internal", "Confidential", "Regulated"], }, { id: "azure", label: "Azure policy", options: [ "Already use Azure", "Azure only for non-sensitive workloads", "Prefer non-Azure infrastructure", "Azure blocked for this workload", "Not sure", ], }, { id: "deployment", label: "Deployment requirement", options: [ "Public cloud is fine", "Must stay in Hong Kong", "Must stay in private cloud", "Must use telco / data-centre infrastructure", "Hybrid setup preferred", ], }, { id: "goal", label: "Primary goal", options: [ "Lower model cost", "Overseas-ready model version", "Local deployment", "Compliance and auditability", "Vendor diversification", "Best accuracy", ], }, { id: "commercial", label: "Commercial preference", options: [ "Pay-as-you-go", "Discounted bulk capacity", "Dedicated capacity", "Private deployment", "Not sure", ], }, ]; const FIT_TEXT = { "Workload": "工作負載", "Internal knowledge base": "內部知識庫", "Customer service chatbot": "客服聊天機械人", "Contract review": "合約審閱", "Financial research assistant": "金融研究助理", "AI coding assistant": "AI 編程助理", "Ecommerce support": "電商支援", "Agent workflow": "智能代理流程", "Data sensitivity": "資料敏感度", "Public": "公開", "Internal": "內部", "Confidential": "機密", "Regulated": "受監管", "Azure policy": "Azure 政策", "Already use Azure": "已使用 Azure", "Azure only for non-sensitive workloads": "Azure 僅用於非敏感工作負載", "Prefer non-Azure infrastructure": "偏好非 Azure 基礎設施", "Azure blocked for this workload": "此工作負載不可使用 Azure", "Not sure": "不確定", "Deployment requirement": "部署要求", "Public cloud is fine": "可使用公有雲", "Must stay in Hong Kong": "必須留在香港", "Must stay in private cloud": "必須留在私有雲", "Must use telco / data-centre infrastructure": "必須使用電訊或數據中心基礎設施", "Hybrid setup preferred": "偏好混合部署", "Primary goal": "主要目標", "Lower model cost": "降低模型成本", "Overseas-ready model version": "海外可用模型版本", "Local deployment": "本地部署", "Compliance and auditability": "合規與可審計性", "Vendor diversification": "供應商多元化", "Best accuracy": "最佳準確度", "Commercial preference": "商務偏好", "Pay-as-you-go": "按量付費", "Discounted bulk capacity": "折扣批量容量", "Dedicated capacity": "專用容量", "Private deployment": "私有部署", "Free Fit Check · 2 minutes": "免費適配檢查 · 2 分鐘", "answered": "已回答", "Find the right AI model route": "找出合適的 AI 模型路線", "for your workload.": "配合你的工作負載。", "Answer six questions to see whether Azure Foundry, ModelPort Local Delivery or a Hybrid Setup is the strongest starting point — and why.": "回答六個問題，了解 Azure Foundry、ModelPort 本地交付或混合部署哪個最適合作為起點，以及原因。", "Answered": "已回答", "Privacy": "私隱", "Answers stay local in your browser. We don't store them until you submit a pilot request.": "答案只會保留在你的瀏覽器本機。除非你提交試點申請，否則我們不會儲存。", "See Recommended Route": "查看建議路線", "Recommendation": "建議", "Start over": "重新開始", "Start with Azure Foundry.": "從 Azure Foundry 開始。", "Start with ModelPort Local Delivery.": "從 ModelPort 本地交付開始。", "Use a hybrid setup.": "使用混合部署。", "This workload looks cloud-native and does not yet require local delivery, discounted bulk capacity or overseas enterprise versions. ModelPort becomes useful when cost pressure, private delivery or China / Asia model coverage matters more.": "此工作負載較偏向雲原生，暫時不需要本地交付、折扣批量容量或海外企業版本。當成本壓力、私有交付或中國及亞洲模型覆蓋更重要時，ModelPort 會更有價值。", "This workload shows cost, compliance, overseas-version or private-endpoint signals. A focused ModelPort pilot can validate savings, deployment risk and compliance readiness before a larger rollout.": "此工作負載顯示成本、合規、海外版本或私有端點需求。聚焦的 ModelPort 試點可在大規模導入前驗證節省、部署風險與合規準備度。", "Keep general workloads on Azure Foundry and route cost-sensitive, private, local or overseas China / Asia model workloads through ModelPort.": "一般工作負載保留在 Azure Foundry，將成本敏感、私有、本地或海外中國及亞洲模型工作負載交由 ModelPort 處理。", "Azure Foundry": "Azure Foundry", "ModelPort Local Delivery": "ModelPort 本地交付", "Hybrid (Azure + ModelPort)": "混合部署（Azure + ModelPort）", "Low": "低", "High": "高", "Targeted": "精準", "Cloud-native workload": "雲原生工作負載", "Private / cost / overseas-ready requirements": "私有、成本或海外可用要求", "Mixed portfolio — one path won't cover everything": "組合需求多元，單一路線無法覆蓋全部", "Use ModelPort when sensitive data, private delivery or model cost becomes important": "當敏感資料、私有交付或模型成本變得重要時使用 ModelPort", "Book a 4–6 week deployment assessment": "預約 4 至 6 週部署評估", "Define the workload split, then pilot the ModelPort side": "先定義工作負載分流，再試點 ModelPort 部分", "Cloud-native": "雲原生", "Local delivery": "本地交付", "Best-of-both": "雙路並行", "Result": "結果", "Generated · just now": "剛剛生成", "Recommended route": "建議路線", "ModelPort relevance": "ModelPort 相關度", "Why": "原因", "Next step": "下一步", "Suggested package": "建議方案", "Example partners": "示例合作夥伴", "Commercial model": "商務模式", "Discounted bulk capacity + platform fee": "折扣批量容量 + 平台費", "Deployment": "部署", "Hong Kong private endpoint": "香港私有端點", "Compliance pack": "合規包", "DPA, audit logs, data-flow, no-training where available": "DPA、審計日誌、資料流與可用的不訓練資料選項", "Pilot estimate": "試點預估", "Pilot fee": "試點費用", "Suggested architecture": "建議架構", "General chatbot → Azure Foundry": "一般聊天機械人 → Azure Foundry", "Sensitive knowledge base → ModelPort Local Delivery": "敏感知識庫 → ModelPort 本地交付", "China / Asia model workload → ModelPort": "中國及亞洲模型工作負載 → ModelPort", "Reporting and cost control → ModelPort dashboard": "報告與成本控制 → ModelPort 儀表板", "When ModelPort becomes relevant": "何時適合使用 ModelPort", "You need private endpoint or HK residency": "你需要私有端點或香港資料駐留", "You hit Azure's China / Asia model gap": "你遇到 Azure 在中國及亞洲模型覆蓋上的缺口", "Retail API pricing becomes the cost bottleneck": "零售 API 價格成為成本瓶頸", "You need an overseas-ready enterprise model version": "你需要海外可用的企業模型版本", "Book a quick consult": "預約快速諮詢", "Request paid pilot": "申請付費試點", "View deliverable models": "查看可交付模型", "Score breakdown": "評分拆解", "Hybrid Setup": "混合部署", "recommended": "建議", "Top signals": "主要信號", "No strong signals — balanced profile.": "沒有強烈信號，屬於平衡型配置。", "Your answers": "你的答案", "Edit answers": "編輯答案", "Public data — public cloud is fine": "公開資料可使用公有雲", "Confidential data calls for private delivery": "機密資料需要私有交付", "Regulated workload requires private endpoint + DPA": "受監管工作負載需要私有端點與 DPA", "Azure-for-some policy is a textbook hybrid setup": "部分使用 Azure 的政策很適合混合部署", "Azure blocked — non-Azure path required": "Azure 受限，需要非 Azure 路線", "Hong Kong residency requirement": "香港資料駐留要求", "Private cloud requirement": "私有雲要求", "Telco / DC infrastructure required": "需要電訊或數據中心基礎設施", "Cost is the primary lever — bulk capacity wins": "成本是主要因素，批量容量更有優勢", "Overseas-ready enterprise version only via ModelPort partners": "海外可用企業版本需透過 ModelPort 合作夥伴取得", "High-sensitivity domain — sensitive document handling": "高敏感領域，需要處理敏感文件", }; function fitText(language, text) { return language === "zh-Hant" ? (FIT_TEXT[text] || text) : text; } // Recommendation engine — scores Azure / ModelPort / Hybrid function recommend(answers) { let azure = 0, modelport = 0, hybrid = 0; const r = []; // Sensitivity if (answers.sensitivity === "Public") { azure += 2; r.push(["Public data — public cloud is fine", "azure"]); } if (answers.sensitivity === "Internal") { azure += 1; hybrid += 1; } if (answers.sensitivity === "Confidential") { modelport += 2; hybrid += 1; r.push(["Confidential data calls for private delivery", "modelport"]); } if (answers.sensitivity === "Regulated") { modelport += 3; r.push(["Regulated workload requires private endpoint + DPA", "modelport"]); } // Azure policy if (answers.azure === "Already use Azure") { azure += 2; hybrid += 1; } if (answers.azure === "Azure only for non-sensitive workloads") { hybrid += 3; r.push(["Azure-for-some policy is a textbook hybrid setup", "hybrid"]); } if (answers.azure === "Prefer non-Azure infrastructure") { modelport += 2; } if (answers.azure === "Azure blocked for this workload") { modelport += 3; r.push(["Azure blocked — non-Azure path required", "modelport"]); } // Deployment if (answers.deployment === "Public cloud is fine") { azure += 2; } if (answers.deployment === "Must stay in Hong Kong") { modelport += 3; r.push(["Hong Kong residency requirement", "modelport"]); } if (answers.deployment === "Must stay in private cloud") { modelport += 3; r.push(["Private cloud requirement", "modelport"]); } if (answers.deployment === "Must use telco / data-centre infrastructure") { modelport += 3; r.push(["Telco / DC infrastructure required", "modelport"]); } if (answers.deployment === "Hybrid setup preferred") { hybrid += 3; } // Goal if (answers.goal === "Lower model cost") { modelport += 2; r.push(["Cost is the primary lever — bulk capacity wins", "modelport"]); } if (answers.goal === "Overseas-ready model version") { modelport += 3; r.push(["Overseas-ready enterprise version only via ModelPort partners", "modelport"]); } if (answers.goal === "Local deployment") { modelport += 3; } if (answers.goal === "Compliance and auditability") { modelport += 2; hybrid += 1; } if (answers.goal === "Vendor diversification") { hybrid += 2; modelport += 1; } if (answers.goal === "Best accuracy") { azure += 1; hybrid += 1; } // Commercial if (answers.commercial === "Pay-as-you-go") { azure += 1; } if (answers.commercial === "Discounted bulk capacity") { modelport += 2; } if (answers.commercial === "Dedicated capacity") { modelport += 2; } if (answers.commercial === "Private deployment") { modelport += 3; } // Workload hints if (answers.workload === "Contract review" || answers.workload === "Financial research assistant") { modelport += 1; r.push(["High-sensitivity domain — sensitive document handling", "modelport"]); } if (answers.workload === "Customer service chatbot" || answers.workload === "Ecommerce support") { azure += 1; } const scores = { azure, modelport, hybrid }; // Determine recommendation; require ModelPort signal to beat Azure by ≥2 to swing let route = "hybrid"; if (azure >= modelport + 2 && azure >= hybrid + 1) route = "azure"; else if (modelport >= azure + 1 && modelport >= hybrid) route = "modelport"; else if (hybrid >= azure && hybrid >= modelport - 1) route = "hybrid"; else if (modelport >= azure) route = "modelport"; else route = "azure"; return { route, scores, reasons: r }; } function FitCheckForm({ answers, setAnswers, onSubmit, language }) { const t = (text) => fitText(language, text); const filledCount = FIT_FIELDS.filter(f => answers[f.id]).length; const total = FIT_FIELDS.length; const canSubmit = filledCount === total; return (
{t("Free Fit Check · 2 minutes")} {filledCount}/{total} {t("answered")}

{t("Find the right AI model route")}
{t("for your workload.")}

{t("Answer six questions to see whether Azure Foundry, ModelPort Local Delivery or a Hybrid Setup is the strongest starting point — and why.")}

{FIT_FIELDS.map((f, i) => (
Q{String(i + 1).padStart(2, "0")}
{t(f.label)}
{answers[f.id] && {t("Answered")}}
{f.options.map(o => ( ))}
))}
{t("Privacy")}
{t("Answers stay local in your browser. We don't store them until you submit a pilot request.")}
); } function FitCheckResult({ answers, result, go, restart, language }) { const t = (text) => fitText(language, text); const { route, scores, reasons } = result; const cfg = { azure: { headline: "Start with Azure Foundry.", copy: "This workload looks cloud-native and does not yet require local delivery, discounted bulk capacity or overseas enterprise versions. ModelPort becomes useful when cost pressure, private delivery or China / Asia model coverage matters more.", route: "Azure Foundry", relevance: "Low", reason: "Cloud-native workload", next: "Use ModelPort when sensitive data, private delivery or model cost becomes important", color: "var(--ink)", tag: "Cloud-native", }, modelport: { headline: "Start with ModelPort Local Delivery.", copy: "This workload shows cost, compliance, overseas-version or private-endpoint signals. A focused ModelPort pilot can validate savings, deployment risk and compliance readiness before a larger rollout.", route: "ModelPort Local Delivery", relevance: "High", reason: "Private / cost / overseas-ready requirements", next: "Book a 4–6 week deployment assessment", color: "var(--accent)", tag: "Local delivery", }, hybrid: { headline: "Use a hybrid setup.", copy: "Keep general workloads on Azure Foundry and route cost-sensitive, private, local or overseas China / Asia model workloads through ModelPort.", route: "Hybrid (Azure + ModelPort)", relevance: "Targeted", reason: "Mixed portfolio — one path won't cover everything", next: "Define the workload split, then pilot the ModelPort side", color: "var(--clay)", tag: "Best-of-both", }, }[route]; const max = Math.max(scores.azure, scores.modelport, scores.hybrid, 1); return (
{t("Recommendation")} {t(cfg.tag)}

{t(cfg.headline)}

{t(cfg.copy)}

{/* Top result strip */}
{/* Recommendation card */}
{t("Result")} · {route.toUpperCase()} {t("Generated · just now")}
{/* ModelPort specific package */} {route === "modelport" && (
{t("Suggested package")}
)} {/* Hybrid architecture */} {route === "hybrid" && (
{t("Suggested architecture")}
  • {t("General chatbot → Azure Foundry")}
  • {t("Sensitive knowledge base → ModelPort Local Delivery")}
  • {t("China / Asia model workload → ModelPort")}
  • {t("Reporting and cost control → ModelPort dashboard")}
)} {route === "azure" && (
{t("When ModelPort becomes relevant")}
  • {t("You need private endpoint or HK residency")}
  • {t("You hit Azure's China / Asia model gap")}
  • {t("Retail API pricing becomes the cost bottleneck")}
  • {t("You need an overseas-ready enterprise model version")}
)}
{/* Score breakdown */}
{t("Score breakdown")}
{t("Top signals")}
{reasons.length === 0 ? (
{t("No strong signals — balanced profile.")}
) : (
    {reasons.slice(0, 4).map((r, i) =>
  • {t(r[0])}
    • )}
)}
{/* Your answers */}

{t("Your answers")}

{FIT_FIELDS.map(f => ( ))}
{t(f.label)} {t(answers[f.id])}
); } function Detail({ k, v }) { return (
{k}
{v}
); } function ScoreBar({ label, recommendedLabel, value, max, active, color }) { const pct = Math.max(6, Math.round((value / max) * 100)); return (
{label} {active && · {recommendedLabel}} {value}
); } Object.assign(window, { FitCheckForm, FitCheckResult, recommend, FIT_FIELDS });