At the recent PromptPilot product launch event held in Beijing, Volc Engine officially introduced its next-generation AI prompt engineering platform - PromptPilot. This launch targeted developers, enterprise customers, and tech enthusiasts, aiming to demonstrate how PromptPilot effectively addresses core challenges in large model applications.

With the rapid development of large model technology and the continuous reduction in costs, Xu Wei, a technical leader at Volc Engine, pointed out that there are still three major pain points in practical business applications: unclear demand expression, ambiguous model capability boundaries, and difficulties in dynamic context adaptation. Traditional prompt writing processes often resemble "alchemy," heavily relying on experience and repeated debugging, making it difficult to ensure stable results.

Artificial Intelligence Brain Large Model (2)

Image source note: The image is AI-generated, and the licensing service provider is Midjourney.

To address these issues, PromptPilot adopts a systematic engineering approach combining "data-driven + interactive collaboration." It focuses on three core capabilities: a guided requirement exploration platform, an automated prompt optimization engine, and a closed-loop iteration bad case insight mechanism. The platform aims to transform prompt development into a standardized process that is reusable, measurable, and continuously optimized.

In addition to optimizing prompts, PromptPilot has built a complete AI engineering ecosystem. Wang Tiefei, an algorithm engineer, introduced that PromptPilot's features cover multiple aspects such as prompt generation, multi-model evaluation, knowledge base integration, and multi-modal understanding. For example, the "Question Engineering Workshop" can quickly generate high-quality prompt drafts, while the "Answer Engineering Workshop" supports generating and calibrating ideal answers and evaluation criteria. The platform's context engineering capabilities can also integrate with enterprise knowledge bases, significantly improving the accuracy and business relevance of outputs.

At the launch event, Zheng Shiyu, the AI product manager from ThinkFlow, shared a successful case of using PromptPilot. In the "Turtle Soup" complex logic reasoning project, the team reduced the prompt iteration cycle from 10 hours to 30 minutes, lowered the error rate by more than 80%, and greatly improved user interaction quality and content richness.

To meet the needs of different users, PromptPilot has launched multiple versions, including a free and standard version for individual developers, and a team version supporting collaborative work. New registered users can claim a universal voucher before October 31st to experience the platform's various resources and services.

Volc Engine stated that in the future, it will continue to advance the evolution of PromptPilot's capabilities and work with developers to build a more open, efficient, and trustworthy large model application ecosystem.