Building Internal Agents (lethain.com)

Imprint, primarily focused on co-branded credit card programs, is developing internal AI agent workflows to enhance operational efficiency. This initiative is significant for the AI/ML community as it exemplifies how companies, even outside the tech sector, are leveraging AI to optimize their internal processes. Through a series of posts, Imprint shares practical insights and challenges faced in building these workflows, underscoring the importance of hands-on learning and experimentation in AI technology. The approach encourages engineers to gain foundational knowledge of Large Language Models (LLMs) by experimenting with basic implementations, such as creating scripts that utilize LLM APIs and integrating tool-calling features. Notably, it highlights the creation of a virtual file system to enhance agent capabilities and the necessity for ongoing evaluation of workflow quality. Imprint's recommendation to initially build a custom framework before transitioning to established ones fosters a deeper understanding of agent development, which is valuable for any company pursuing AI integration, irrespective of their primary business focus.