Project Description
Product Manager Agent: Beyond Digitalization
Product Manager Agent is an advanced Artificial Intelligence solution designed to transform digital project management. The Autonomous Agent understands a brief explanation of the project, processes metadata extracted directly from Figma designs, generates categorized Trello cards, and drafts tasks with a professional level of detail. All of this works without supervision, prompts, or predefined templates, relying solely on the provided context.
Challenges
The development of the system presented several key challenges. One was overcoming the context window limitation of LLMs, which makes it difficult to process large volumes of information coherently. It was also necessary to integrate and orchestrate data from various sources, such as Figma, Trello, and technical documentation, into a unified and optimized workflow. Another challenge was designing a system capable of filtering only the truly relevant information and transforming it into technical user stories with clear acceptance criteria. Finally, everything had to ensure semantic accuracy and usability within an agile, modular, and scalable environment.
Benefits for the client and the user
Product Manager Agent optimizes digital project management by automating key tasks that traditionally require time and supervision. For clients, this translates into more efficient processes, with clear organization of metadata extracted from Figma designs and the automatic generation of detailed Trello cards, minimizing errors and accelerating project planning. For users, the tool provides simplified, well-structured workflows, enabling faster and more effective task execution with clearly defined priorities and responsibilities. Altogether, Product Manager Agent delivers a comprehensive solution that improves productivity, facilitates collaboration, and ensures consistent, high-quality results in every project.
Technology Used
Product Manager Agent combines various advanced technologies to deliver optimal performance and accurate results. For Artificial Intelligence capabilities, it leverages LLMs such as OpenAI GPT-4 and Claude, while context management is implemented through LlamaIndex, Pinecone, and semantic salience and compression algorithms. The tool integrates with Figma and Trello APIs to automatically extract and organize information.
On the backend, Node.js together with LoopBack ensures efficient and scalable processing, while the frontend, developed in React, provides a fast and intuitive interface for users. The infrastructure relies on Docker and microservices orchestration to ensure flexibility and robustness, and vector storage is managed with Pinecone and Weaviate, enabling fast and accurate searches within large volumes of information.
