Kollab

Using AI as a solo chat window works fine until more than one person is involved. Then the context lives in someone else's history, the good prompt is lost in a thread, and the output has to be copied out into whatever tool actually publishes it. Kollab treats AI as a shared workspace instead of a private conversation. Research, drafts, agent runs, and finished assets all live in the same environment, visible to the team, so the reasoning behind a piece of content is still there when someone else picks it up. AI agents handle the heavier lifting — gathering research, drafting variations, restructuring material for a different channel — while people stay in the loop to direct and edit. The publishing layer closes the gap at the end: rather than exporting and re-formatting, finished work can go out to multiple platforms directly from the workspace where it was made. For content teams, marketing teams, and small agencies who currently bounce between a chatbot, a doc, and a scheduler, it removes two handoffs and keeps the whole chain of context in one place. It is free to start, which makes it easy to run a real project through before committing.