按需付费 - AI Model Orchestration and Workflows Platform
Prompt engineering platforms are transforming how businesses design and scale AI workflows. These tools simplify access to multiple AI models like GPT-4, Claude, and Llama, enabling U.S. enterprises to cut costs by up to 98% and boost productivity by 10×. However, selecting the right platform is critical, as 95% of generative AI pilots fail to reach production due to inefficiencies.
Here’s a quick look at three leading platforms:
Each platform supports the entire AI workflow, from prompt design to deployment, with unique strengths in model comparison, cost optimization, and governance. Your choice depends on your team’s size, technical expertise, and compliance needs.
Takeaway: Choose a platform that aligns with your business goals, whether it’s reducing costs, improving governance, or scaling AI workflows.
人工智能工作流程的三大快速工程平台比较
Prompts.ai 是一款一体化 AI 编排平台，旨在简化对超过 35 种领先语言模型的访问，包括 GPT-5、Claude、LLaMA 和 Gemini。该平台由 Steven P. Simmons 开发，解决了美国企业面临的一项重大挑战：管理多个订阅和治理系统。通过将工具整合到一个安全的界面中，它消除了不必要的复杂性并简化了企业人工智能生命周期，带来了互操作性、成本效率、合规性和可扩展性等优势。
Prompts.ai’s side-by-side comparison tool allows teams to test identical prompts across different models, making it easier to identify the best language model (LLM) for specific tasks. For instance, architect Ar. June Chow gave the platform a 4.8 out of 5.0 rating for its effectiveness in handling intricate architectural projects. The platform also supports workflows that integrate seamlessly across various providers and connects with tools like Slack, Gmail, and Trello to automate enterprise processes. Beyond helping users choose the right model, Prompts.ai enhances efficiency by optimizing resource usage through its advanced cost management features.
Prompts.ai can cut AI costs by up to 98% through its TOKN Pooling feature, which efficiently shares token credits across users. According to Steven Simmons, the platform’s workflows and LoRAs have transformed tasks like rendering and proposal creation - reducing timelines from weeks to just a single day. Pricing options range from a $0 Pay-As-You-Go plan to a Business Elite tier at $129 per member per month, which includes 1,000,000 TOKN credits and storage pooling. This cost-saving approach is paired with strong governance features to ensure secure and efficient operations.
On 2025年6月19日, Prompts.ai took a major step toward security and compliance by initiating SOC 2 Type II audits and adopting HIPAA and GDPR best practices via Vanta’s continuous control system. The platform also offers a real-time Trust Center for tracking policies. For organizations managing sensitive data, Business-tier plans provide centralized governance tools, enabling full visibility and auditability of all AI interactions. These measures ensure that enterprises can scale their AI initiatives with confidence while maintaining strict compliance standards.
Prompts.ai 旨在与您的业务一起成长。在更高级别的计划中，该平台支持无限的工作空间和协作者。例如，问题解决者计划的价格为每月 99 美元，最多可容纳 99 名协作者。 The AI Business 创始人 Mohamed Sakr 称赞该平台能够自动执行销售、营销和运营任务。这种水平的可扩展性有助于美国企业克服运营挑战，并从试点项目顺利过渡到全面的人工智能部署。
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与 Prompts.ai 相比，平台 B 采用不同的模型编排方法，提供独特的架构设计。它利用模型抽象层，支持来自领先提供商的超过 85 个模型。这种设置将编排逻辑与模型本身分开，使美国企业可以轻松更换 LLM 供应商，而无需彻底修改其工作流程。这种供应商中立的设计最大限度地减少了对任何单一供应商生态系统的依赖。
借助 Side-by-Side Prompt Editor 和 Playground 等工具，平台 B 允许用户直接比较各种模型的输出、延迟和性能 - 无论它们是开源的还是专有的。此功能可帮助团队在投入生产之前为其特定任务确定最高效且最经济的模型。得益于抽象层，模型之间的切换只需最少的努力，从而更容易适应新的或不断发展的法学硕士选项。
平台 B 包括一个强大的评估框架，用于评估总拥有成本 (TCO)，确保团队可以避免使用随着使用量增长而变得成本过高的平台。其比较工具在现实条件下对 API 成本、延迟和性能进行基准测试，帮助用户做出明智的决策。这些功能使平台 B 成为动态 AI 运营中管理成本的实用选择。
对于受监管行业的组织，平台 B 提供企业级安全性，符合 SOC 2 合规性和 HIPAA 支持。关键安全措施包括基于角色的访问控制 (RBAC)、单点登录 (SSO) 和机密管理，以保护敏感数据。此外，该平台还提供详细的审核日志、版本控制和审批工作流程，为合规团队提供有效监督和监控人工智能部署所需的工具。
Vellum（平台 C）旨在为工程团队带来灵活性和团队合作精神。其 Prompt Playground 提供了一个模型中立的空间，用户可以在多个模型中同时优化提示。此功能支持闭源和开源提供商，包括来自 OpenAI 和 Anthropic 的模型，使团队能够比较输出并找出最适合其特定工作流程的模型。
Prompt Builder 使技术和非技术用户能够实时迭代。团队可以比较输出、测量延迟并并行评估性能，从而显着减少开发时间和劳动力支出。
Vellum 优先考虑安全性和 SOC2 认证合规性以及 HIPAA 支持。它提供私有云部署，以确保数据保持隔离和安全，即使对于敏感的企业人工智能工作流程也是如此。该平台还集成了人工和自动评估流程，以在整个开发过程中保持高标准的质量和合规性。此外，其模板和版本控制系统可帮助团队存储、组织和跟踪即时更改，从而创建监督人工智能部署所必需的审计跟踪。这些功能可确保平稳扩展，同时满足治理标准。
Vellum’s design promotes seamless collaboration across teams. Product managers, engineers, and subject matter experts can work together on prompt development without being hindered by technical challenges. This approach removes workflow bottlenecks and enables scalable operations across a variety of use cases.
在比较平台时，很明显每个平台都具有独特的优势和挑战。以下是对其核心优势和局限性的简要总结，强调了根据项目要求需要考虑的关键因素。
Prompts.ai 提供对超过 35 种顶级大型语言模型的访问，通过 SOC 2 认证确保企业级安全，并有可能将 AI 相关成本削减高达 98%。然而，管理 TOKN 积分需要仔细监督，而较低级别计划的用户可能会遇到等待名单。
Vellum 以其内置的评估和版本控制工具而大放异彩，显着缩短了开发时间。也就是说，其专业化重点导致通用 SaaS 连接器较少，并且新用户在初始实施期间可能面临更陡峭的学习曲线。
最终，最佳选择取决于项目的技术需求和团队能力。具有技术专业知识的大型团队可以从提供更深入定制的平台中受益，而小型团队可能会优先考虑具有预构建集成的用户友好型工具。
Choosing the right prompt engineering platform depends on your team’s technical expertise, regulatory requirements, and scalability needs. Prompts.ai stands out by offering access to over 35 models while maintaining rigorous security and compliance standards. Impressively, it can reduce AI costs by up to 98%, making it a game-changer for U.S. enterprises in sectors like healthcare, finance, and government, where operational efficiency and adherence to regulations are paramount.
对于产品经理和工程师在生产工作流程中协作的团队，Vellum AI 提供了实用的解决方案。其视觉构建器弥合了技术和非技术利益相关者之间的差距，考虑到 95% 的生成式 AI 试点未能过渡到生产，这是一个至关重要的功能。
Each platform has its strengths, and your choice should align with your specific technical and compliance needs. Platform B’s model abstraction layer offers vendor-neutral flexibility, helping enterprises avoid vendor lock-in. Meanwhile, Vellum AI’s evaluation and versioning tools streamline development timelines. Prompts.ai, on the other hand, delivers extensive model access paired with enterprise-grade governance, making it ideal for organizations looking to consolidate their AI operations.
Prompt engineering has shifted from being an experimental endeavor to a critical function for modern enterprises. Whether you’re consolidating disparate tools, scaling from pilot projects to full-scale production, or strengthening your AI systems for enterprise use, your platform selection should reflect your organization’s current and future needs.
首先审核您现有的人工智能工具，找出安全性或成本透明度方面的差距，然后将这些见解与每个平台提供的独特优势相结合。
When selecting a prompt engineering platform for AI workflows in the United States, it’s important to focus on features that drive efficiency, ensure security, and support scalability. Choose a platform that accommodates a variety of AI models, allowing you to experiment and refine prompts without juggling multiple accounts. Clear cost management is another critical factor - real-time expense tracking and flexible pricing options can help you stay within budget.
Security should be a top priority, so look for platforms offering enterprise-grade protections, such as SOC 2 compliance, to safeguard sensitive data. Collaboration tools, like version control and shared libraries, can make teamwork smoother and more efficient. To further enhance usability, seek platforms with an intuitive interface, detailed analytics, and deployment options that fit your needs, whether in the cloud or on-premise. By focusing on these features, you’ll find a platform that simplifies prompt creation and delivers real results for your AI projects.
由于能够简化操作并提高效率，快速工程平台有可能将 AI 成本削减高达 98%。通过将各种人工智能模型整合到一个安全的集中式系统中，这些平台可以最大限度地减少冗余 API 调用并微调提示的路由方式。
他们还提供实时成本跟踪工具，并允许企业并排比较模型。这有助于组织根据其需求找到最经济的解决方案。借助这些功能，可以更有效地利用资源，减少浪费并创造更大的价值。
Prompts.ai 优先考虑企业级合规标准，以提供安全可靠的 AI 工作流程。它符合 SOC 2 Type II、HIPAA 和 GDPR 法规，为数据保护和隐私提供强有力的保障。
突出的功能包括安全数据处理、自动合规性检查和全面的审计跟踪，确保您的 AI 操作始终合规且可靠。
