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AI automation

Workflow automation powered by AI: no-code and low-code builders, agent pipelines and the guides for connecting models to everyday tools.

AI automation is the use of AI models inside workflows, so tasks such as answering support messages, processing documents or moving data between apps run with less manual work. To start with AI automation, look at a workflow platform such as n8n, which combines a visual editor, code steps and AI agent nodes, and decide whether you need cloud or self-hosted deployment.

Tool pages also cover a shared support inbox with an optional AI agent, push-to-talk dictation for the Mac and JarvisCore, an open-source Python framework for multi-agent systems. The open-source projects include nanobot, a self-hosted personal agent you can reach through chat apps, and Agent-Reach, which prepares an agent to read sites that are hard to reach from a script.

The listed agent skills handle office files such as spreadsheets, slides and PDFs, along with brand, theme and internal communications work. The videos cover browser agent reliability and image decision models for robotic process automation (RPA) on forms, scans and screenshots.