ChatFuse

ChatFuse is built around agents rather than chat. You describe what you want in a sentence or two, and the platform returns a proposed plan showing the individual steps, which connected apps each step would touch, and an estimated cost before anything runs. You can edit any step, publish the version, and then start it manually, put it on a schedule, or fire it from a trigger. Once published, every run sticks to that released version, so behavior stays stable until you deliberately change it.

Under the hood an orchestrator decides which model or tool handles each step instead of forcing you to choose. A document-reading step, a research step, a number-checking step and a drafting step in the same agent can each go to a different provider, with a fallback model standing by if one is unavailable. This means you get the strengths of the newest flagship models without rewriting your workflow every time a better one ships. Runs are credit-metered: a monthly subscription includes 20M credits a month, and top-up packs never expire.

Safety and control are foregrounded. Agents ask for your approval before they send, post, or edit anything, you can set a spending cap, and estimates are shown before every run. ChatFuse also states a zero-training guarantee (your prompts, files and memory are not used to train models), no standing employee access to your data, and GDPR/CCPA controls with HIPAA-ready deployment options. The surrounding workspace adds Canvas for focused work, a Library for chats and files, reusable Personas, and a persistent Memory you can inspect, edit or delete — including one-click import of your preferences and work context from ChatGPT, Claude or Gemini.