{ "datasetId": "ai-product-cost-evidence-card-v1", "schemaVersion": "1.0.0", "createdAt": "2026-07-21", "language": "zh-CN", "license": "https://creativecommons.org/licenses/by/4.0/", "licenseScope": "仅覆盖空白字段结构与 DragonAI 第一方说明，不覆盖真实账单、客户、用量、模型输出、人员薪酬、合同、收益或第三方材料。", "purposeZh": "记录 AI 产品成本范围、分摊、用量、合格任务、全量单位成本、预测和投入决定。", "disclosureZh": "DragonAI 运营 AI 产品经理课程。本文件是 DragonAI 第一方空白成本决策框架，不是会计准则、财务预测、投资建议、厂商报价或收益保证；不含真实成本、收入、节省或 ROI 结果。", "dataCompletenessValues": [ "unknown", "partial", "complete", "invalid" ], "roiStatusValues": [ "not_estimated", "proxy_only", "estimated", "validated" ], "benefitTypeValues": [ "theoretical_time_saving", "releasable_capacity", "realized_cost_reduction", "incremental_revenue", "risk_reduction_proxy", "other_proxy" ], "decisionStates": [ "continue_measurement", "optimize", "narrow_scope", "pause", "stop" ], "sections": [ { "sectionId": "cost-scope", "nameZh": "成本范围与版本", "requiredFields": [ "costModelId", "productVersion", "releaseUnitHash", "targetUsers", "taskDefinition", "environment", "windowStart", "windowEnd", "currency", "exchangeRate", "exchangeRateDate", "taxTreatment", "directCostBoundary", "sharedCostBoundary", "fixedCostBoundary", "excludedCosts", "owner", "frozenAt" ], "verificationQuestionsZh": [ "环境、时间窗和成本边界是否冻结？", "一次性与持续成本是否分开？" ] }, { "sectionId": "allocation-rules", "nameZh": "成本归集与分摊", "requiredFields": [ "allocationPlanId", "costModelId", "directTags", "sharedCostPools", "allocationTargets", "allocationDrivers", "formulas", "dataSources", "unallocatedTreatment", "unallocatedBalance", "ruleVersion", "effectiveAt", "reviewer" ], "verificationQuestionsZh": [ "每个成本池、公式和适用对象能否重算？", "未分摊成本是否被隐藏？" ] }, { "sectionId": "usage-window", "nameZh": "任务与资源用量", "requiredFields": [ "usageWindowId", "costModelId", "taskVersion", "taskRecordReferences", "callChainReferences", "costTags", "taskCostLinkageCoverage", "unlinkedUsage", "unlinkedCost", "rawUsageEvidenceReferences", "startedTasks", "modelCalls", "inputUnits", "outputUnits", "cacheUsage", "embeddingUsage", "retrievalUsage", "toolUsage", "storageAndNetworkUsage", "mediaProcessingUsage", "failedCalls", "retries", "timeouts", "humanReviewAndHandoff", "reservedCapacity", "idleCapacity", "pricingSources", "observedAt" ], "verificationQuestionsZh": [ "调用链、成本标签和任务记录是否关联并显示覆盖率？", "未关联用量与成本是否保留？", "重试、人工与闲置容量是否保留？" ] }, { "sectionId": "outcome-window", "nameZh": "任务结果与质量分母", "requiredFields": [ "outcomeWindowId", "costModelId", "usageWindowId", "evaluationRubricVersion", "severeFailureRuleVersion", "startedTasks", "completedTasks", "qualifiedTasks", "targetOutcomeTasks", "humanCompletedTasks", "severeFailures", "sliceResults", "dataCompleteness", "limitations", "reviewer" ], "verificationQuestionsZh": [ "合格任务是否引用冻结门槛？", "人工完成与严重失败是否被排除但不抹去成本？" ] }, { "sectionId": "fully-loaded-cost", "nameZh": "全量成本与单位成本", "requiredFields": [ "costResultId", "costModelId", "allocationPlanId", "usageWindowId", "outcomeWindowId", "modelAndInfrastructureCost", "retrievalAndToolCost", "dataCost", "monitoringSecurityCost", "humanOperationsCost", "failureAndReworkCost", "supportAndOperationsCost", "fixedCostSources", "amortizationMethod", "amortizationPeriod", "amortizedFixedCost", "unallocatedCost", "marginalRunCost", "fullyLoadedCost", "numeratorComponents", "formulaDefinitions", "formulaReference", "zeroDenominatorTreatment", "costPerStartedTask", "costPerCompletedTask", "costPerQualifiedTask", "costPerTargetOutcome", "reconciliationVariance", "formulaVersion", "dataCompleteness", "calculatedAt" ], "verificationQuestionsZh": [ "分子与分母是否来自同一窗口？", "公式、分子组成、摊销与零分母规则能否重算？", "边际、全量和未分摊成本是否分开？" ] }, { "sectionId": "scenario-forecast", "nameZh": "情景预测与敏感性", "requiredFields": [ "forecastId", "forecastVersion", "supersedesForecastId", "scenarioSetId", "costModelId", "baselineCostResultId", "actualCostResultIds", "backfillReference", "forecastWindowStart", "forecastWindowEnd", "scenarioName", "volumeAssumption", "taskMixAssumption", "qualityAssumption", "retryAssumption", "humanHandoffAssumption", "cacheAndRoutingAssumption", "priceAndExchangeAssumption", "sharedCostAssumption", "forecastTotalCost", "forecastQualifiedTaskCost", "capacityGap", "sensitiveVariables", "confidenceRange", "assumptionSources", "forecastAt" ], "verificationQuestionsZh": [ "同组情景是否使用同一预测期间和基线？", "假设与实测回填是否分开并保留版本链？", "是否显示区间和最敏感变量？" ] }, { "sectionId": "value-and-decision", "nameZh": "价值证据与投入决定", "requiredFields": [ "decisionId", "costModelId", "costResultIds", "forecastIds", "baselineReference", "valueMetric", "benefitTypes", "benefitAmountRange", "valueEvidence", "realizationEvidence", "counterfactualMethod", "attributionWindow", "adoptionEvidence", "roiStatus", "roiFormula", "roiRange", "uncertainties", "contradictingEvidence", "decisionState", "decisionReason", "budgetGuardrails", "owner", "approvers", "decidedAt", "reviewTriggers" ], "verificationQuestionsZh": [ "理论省时、可释放产能、真实降本与新增收入是否分开？", "潜在省时是否被误写成已实现现金收益？", "成本、质量与价值是否共同决定？" ] } ], "blankCostScope": { "costModelId": "", "productVersion": "", "releaseUnitHash": "", "targetUsers": [], "taskDefinition": "", "environment": "", "windowStart": "", "windowEnd": "", "currency": "", "exchangeRate": null, "exchangeRateDate": "", "taxTreatment": "", "directCostBoundary": [], "sharedCostBoundary": [], "fixedCostBoundary": [], "excludedCosts": [], "owner": "", "frozenAt": "" }, "blankAllocationRules": { "allocationPlanId": "", "costModelId": "", "directTags": [], "sharedCostPools": [], "allocationTargets": [], "allocationDrivers": [], "formulas": [], "dataSources": [], "unallocatedTreatment": "", "unallocatedBalance": null, "ruleVersion": "", "effectiveAt": "", "reviewer": "" }, "blankUsageWindow": { "usageWindowId": "", "costModelId": "", "taskVersion": "", "taskRecordReferences": [], "callChainReferences": [], "costTags": [], "taskCostLinkageCoverage": null, "unlinkedUsage": {}, "unlinkedCost": null, "rawUsageEvidenceReferences": [], "startedTasks": null, "modelCalls": null, "inputUnits": {}, "outputUnits": {}, "cacheUsage": {}, "embeddingUsage": {}, "retrievalUsage": {}, "toolUsage": {}, "storageAndNetworkUsage": {}, "mediaProcessingUsage": {}, "failedCalls": null, "retries": null, "timeouts": null, "humanReviewAndHandoff": {}, "reservedCapacity": {}, "idleCapacity": {}, "pricingSources": [], "observedAt": "" }, "blankOutcomeWindow": { "outcomeWindowId": "", "costModelId": "", "usageWindowId": "", "evaluationRubricVersion": "", "severeFailureRuleVersion": "", "startedTasks": null, "completedTasks": null, "qualifiedTasks": null, "targetOutcomeTasks": null, "humanCompletedTasks": null, "severeFailures": [], "sliceResults": [], "dataCompleteness": "unknown", "limitations": [], "reviewer": "" }, "blankFullyLoadedCost": { "costResultId": "", "costModelId": "", "allocationPlanId": "", "usageWindowId": "", "outcomeWindowId": "", "modelAndInfrastructureCost": null, "retrievalAndToolCost": null, "dataCost": null, "monitoringSecurityCost": null, "humanOperationsCost": null, "failureAndReworkCost": null, "supportAndOperationsCost": null, "fixedCostSources": [], "amortizationMethod": "", "amortizationPeriod": "", "amortizedFixedCost": null, "unallocatedCost": null, "marginalRunCost": null, "fullyLoadedCost": null, "numeratorComponents": [], "formulaDefinitions": [], "formulaReference": "", "zeroDenominatorTreatment": "return_null_and_flag_insufficient_outcomes", "costPerStartedTask": null, "costPerCompletedTask": null, "costPerQualifiedTask": null, "costPerTargetOutcome": null, "reconciliationVariance": null, "formulaVersion": "", "dataCompleteness": "unknown", "calculatedAt": "" }, "blankScenarioForecast": { "forecastId": "", "forecastVersion": "", "supersedesForecastId": "", "scenarioSetId": "", "costModelId": "", "baselineCostResultId": "", "actualCostResultIds": [], "backfillReference": "", "forecastWindowStart": "", "forecastWindowEnd": "", "scenarioName": "", "volumeAssumption": {}, "taskMixAssumption": {}, "qualityAssumption": {}, "retryAssumption": {}, "humanHandoffAssumption": {}, "cacheAndRoutingAssumption": {}, "priceAndExchangeAssumption": {}, "sharedCostAssumption": {}, "forecastTotalCost": null, "forecastQualifiedTaskCost": null, "capacityGap": {}, "sensitiveVariables": [], "confidenceRange": {}, "assumptionSources": [], "forecastAt": "" }, "blankValueAndDecision": { "decisionId": "", "costModelId": "", "costResultIds": [], "forecastIds": [], "baselineReference": "", "valueMetric": "", "benefitTypes": [], "benefitAmountRange": {}, "valueEvidence": [], "realizationEvidence": [], "counterfactualMethod": "", "attributionWindow": "", "adoptionEvidence": [], "roiStatus": "not_estimated", "roiFormula": "", "roiRange": {}, "uncertainties": [], "contradictingEvidence": [], "decisionState": "continue_measurement", "decisionReason": "", "budgetGuardrails": [], "owner": "", "approvers": [], "decidedAt": "", "reviewTriggers": [] }, "sources": [ { "evidenceId": "google-cloud-ai-ml-cost-optimization-20260721", "url": "https://docs.cloud.google.com/architecture/framework/perspectives/ai-ml/cost-optimization" }, { "evidenceId": "microsoft-ai-workload-design-principles-20260721", "url": "https://learn.microsoft.com/en-us/azure/well-architected/ai/design-principles" }, { "evidenceId": "finops-unit-economics-20260721", "url": "https://www.finops.org/framework/capabilities/unit-economics/" }, { "evidenceId": "finops-cost-allocation-20260721", "url": "https://www.finops.org/framework/capabilities/allocation/" }, { "evidenceId": "google-ml-project-success-20260721", "url": "https://developers.google.com/machine-learning/managing-ml-projects/success" } ], "title": "AI 产品成本与价值证据卡 v1", "description": "把成本范围、分摊规则、任务级用量、合格结果、全量单位成本、情景预测和价值决定连接起来。", "url": "https://course.dragonai.tech/datasets/ai-product-cost-evidence-card-v1.json", "creator": "烛龙智元内容研究组" }