Aethera AI

Aethera runs 41+ models from OpenAI, Anthropic, Google, Grok and DeepSeek, including their reasoning variants. You can switch models inside a conversation, branch a thread into a reasoning model, or pin one model to a project so behavior stays predictable. New releases typically go live within a day of the provider shipping them, according to the company.

The agent plans a task, chains the tools it needs, and works each step to completion. It drafts the reply, waits for your okay, sends it, then updates the team in Slack. Before each tool call you see what it plans to do and which connected account it will use, and you can auto approve trusted tools or block others entirely.

Aethera links to Gmail, Slack, Notion, Drive, Linear and roughly 45 more apps, a broad set of AI connectors for a single workspace. Approval gates sit at the connector level, so the agent only does what you allow. This is the part that separates an AI agent workspace from a chat window: the output lands in the tool your team already checks.

Studio runs 27 image models and 10 video models, including Veo, Sora, Kling and Seedance. Describe the shot in a chat and the agent writes the prompt, picks a model and returns the footage. Open Studio directly when you want to prompt, edit and upscale by hand instead.

Each project holds its own files, instructions and default model, and every chat inside it inherits that setup. Instead of re-explaining your brand voice every morning, you write it once. This is where the AI productivity tool framing makes sense: the context is the product.

Drop a 200 page PDF, a spreadsheet with thousands of rows and a brief into the same project, then ask one hard question. Aethera reads all of it and answers with citations back to the source file. Long context work stops being a copy and paste exercise.