The article discusses the common experience of artificial intelligence (AI) systems failing to work correctly on the first attempt. It explores the reasons behind this phenomenon, including the complexities of AI models, the need for iterative testing, and the importance of understanding the underlying data and algorithms. The piece emphasizes that persistence and refinement are crucial for achieving successful AI outcomes.

Plaid has launched its Model Context Protocol (MCP) server, integrating with Anthropic's AI assistant Claude to enhance user management of Plaid integrations. This tool enables users to monitor performance metrics, optimize conversion rates, and improve troubleshooting through natural language queries and instant diagnostics, all while maintaining security measures. Initially available to select Claude customers, the setup involves copying the MCP server URL into Claude for access.