Gumloop has launched its AI-powered agents, which can be customized within seconds using MCP, Gumloop workflows, and system context to tackle open-ended tasks. These agents, now out of beta, function as intelligent reasoning engines that can autonomously determine and utilize appropriate tools to complete given tasks, offering an advanced interface to workflows and MCP. Users can interact with these agents on the Gumloop platform or through Slack, where the integration allows team members to observe and learn from the interactions. The setup process involves creating an agent, connecting it to necessary tools, and initiating communication, enabling the agent to perform tasks like extracting data from systems such as Salesforce and Gmail. Gumloop agents are built on the existing copilot infrastructure, meaning as the Gummie AI becomes smarter, so do the agents. While workflows excel in handling repeatable, predictable tasks, agents offer flexibility for complex, dynamic problem-solving. Slack serves as an essential interface by exposing learning opportunities through team collaborations, with authentication linking Slack and Gumloop accounts to ensure secure operations.