Why We Built an Independent, Goal-Driven AI Workspace
Most AI products begin with a chat box. That is useful for answering a question, drafting a document, or calling a tool. But it becomes harder to use when the work lasts longer than one conversation or involves several people and Agents. The problem is not only memory. The work also needs a clear goal, an owner, a current state, decision rules, review points, and a result that somebody can…
The article discusses the limitations of traditional AI chat interfaces and proposes an alternative model called an "Independent, Goal-Driven AI Workspace." Traditional AI products often begin with a chat box, which becomes insufficient when work involves multiple people, longer durations, and requires clear goals, ownership, and verification of results.
The author argues that a Workspace is a separate operating unit focused on a measurable goal, with its own context, execution state, and artifacts. This approach aims to provide direction, control, and a visible path for progress, while also making collaboration clearer and more manageable. The author introduces Manor AI, a self-hosted implementation of this concept, which connects Workspace conversations with goals, tasks, plans, agents, knowledge, approvals, flows, automations, and resulting artifacts.
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