Twin treats Buffer as part of a larger workflow, not as an isolated connector. An agent can read the relevant records, combine them with context from other tools, decide what needs to happen next, and report the finished work back to the team.
The page below shows the practical automation patterns for Buffer: what the agent can monitor, which actions it can take, and how the workflow stays observable when it runs on a schedule.
Common starting points include content repurposing to buffer, social listening into buffer queue, spreadsheet-driven publishing. Each example is designed to become a reusable agent, so teams can start from a narrow job and expand it as the process matures.
Twin is most useful when the main friction with Buffer workflows is moving content from wherever it lives—a doc, a sheet, a Notion page—into the scheduler by hand. Twin reads the source directly and pushes to Buffer, so stale data and missed posts stop being a recurring problem.