AI task automation tools: desktop launchers and dictation, agents that work across company data, customer support agents, and cloud browsers for agents that work on the web.
Automation here ranges from saving a few keystrokes to letting an agent run code on its own. At the personal end are launchers and dictation tools that shorten everyday desktop work. In the middle are agent platforms that answer questions from company data or handle support conversations. At the far end is infrastructure: cloud browsers that agents use on the web, and local execution of code generated by a model.
Raycast speeds up app launching and workflows on macOS with AI built in. Shortcuts like this carry little risk because you stay in the loop for every action.
Dust builds agents on top of Notion, Slack and Google Drive without code, while Gumloop and Axiom.ai automate multi-step workflows and web tasks without code. Before connecting one, list exactly which sources it can read and which actions it can take, and decide who reviews its output.
Open Interpreter runs model-generated code locally, which is powerful and risky on the same machine that holds your files. Browserbase runs headless browsers in the cloud for AI agents, scraping and automation, so web tasks need no local setup and stay off your own machine.
For agents that work inside your codebase, see Programming Assistant.
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