May 2026 Summaries

The text explores various alternatives to Retool, a platform for building custom internal tools, emphasizing the desire for more accessible, no-code solutions that empower non-technical users. It highlights the need for AI-native platforms that facilitate rapid development without requiring extensive coding knowledge. Among the alternatives discussed, Gumloop is praised for its truly no-code capabilities, enabling users to create AI agents and apps easily through conversational prompts and a drag-and-drop interface. The text also reviews other platforms like Superblocks, Kissflow, Budibase, Dust, Appsmith, and Microsoft Power Apps, each offering different strengths such as open-source capabilities, enterprise security, process automation, or seamless integration within the Microsoft ecosystem. The alternatives are evaluated based on criteria like ease of use, deployment options, pricing models, AI governance, and integration capabilities, with a focus on finding tools that meet diverse organizational needs and regulatory requirements.

Internal AI tooling is experiencing significant growth, with platforms like Superblocks offering faster app development for engineering teams. However, alternatives such as Gumloop, Retool, Appsmith, Glide, Budibase, StackAI, and CrewAI are emerging, each catering to different needs. Gumloop focuses on AI-native workflows, promoting shared automation across teams, while Retool offers a flexible environment for engineering-led tool development. Appsmith and Budibase provide open-source and self-hosted options, emphasizing control and flexibility. Glide is user-friendly for non-technical teams, and StackAI specializes in AI workflows for regulated industries. CrewAI offers developers a framework for building multi-agent AI systems in Python. The trend is shifting towards platforms that enable the sharing of AI workflows and automation across teams, with Gumloop standing out for its collaborative approach.

Gumloop has introduced a new feature that allows agents to clone themselves, enabling them to work in parallel and call upon other specialized agents, known as subagents, to complete tasks more efficiently. By autonomously creating clones, each with its own context, agents can divide labor and handle multiple components of a task simultaneously, reducing costs and preventing duplication of work. This capability is particularly useful for tasks like competitor analysis, where an agent can create multiple clones to research several companies concurrently. Additionally, agents can delegate specific parts of a task to subagents optimized for those tasks, such as SEO, copywriting, or engineering, orchestrating a seamless workflow without requiring direct user intervention. This system ensures that permissions are inherited cleanly, subagents remain up-to-date, and files can be transferred smoothly between sandboxes, allowing for a streamlined and automated workflow with no coding required.

The text discusses the importance of finding a suitable AI agent platform as an alternative to Glean, emphasizing the need for platforms that not only search for information but also execute tasks. It highlights key features to consider in such platforms, including the ability to run tasks independently, secure team collaboration, and integration with existing tech stacks. The article reviews several Glean alternatives, focusing on enterprise-focused platforms like Gumloop, Workato, Claude Cowork, Dust, and StackAI, each offering unique features such as multiplayer agent building, LLM agnostic capabilities, and compliance with industry regulations. The value of these platforms lies in their ability to maintain institutional knowledge, enhance team productivity, and provide security and governance, making them suitable for various industries, including regulated sectors like healthcare and finance.