MCP Is a Distribution Channel, Not a Runtime
MCP is a great distribution layer into ChatGPT and Claude, but it's the wrong runtime for deterministic business workflows. Here's why we treat Workflows at Aisle as factory-style pipelines.
Product updates, tutorials, and insights from the Aisle team.
MCP is a great distribution layer into ChatGPT and Claude, but it's the wrong runtime for deterministic business workflows. Here's why we treat Workflows at Aisle as factory-style pipelines.
Personal pins, workflow debugging with start variables and error highlighting, consolidated entry points. Chat launcher and Playgrounds refinements in Aisle.
Google SSO login for Aisle, email verification for new users, message retry and one-click forking in chat. Better security and chat UX.

GPT-5 and Claude Opus 4.1 in Aisle. Shareable Playgrounds, MCP in prompts and workflows. Test and compare models in one place.

Workflow integrations live in Aisle: SupaData, AWS, Reddit. Chat launcher updates, start node UX, optional logging for prompts and workflows.

Why reliable AI workflows look like factory lines, not mega-prompts. Break work into atomic prompts, make each one a reusable thinking unit, and build automations that run the same way every time.

Universal chat launcher in Aisle, workflow memory between runs, and building persona prompts. Faster access to workflows, chat, and models.

Claude 4, Gemini 2.5, Grok 3 in Aisle. Web search in prompts and workflows. Run mode in workflow builder. Build data-aware AI processes.