Backdrop

Backdrop starts you with named coworkers instead of a blank prompt. Alex handles product management work and Sam covers engineering and operations, so a team can see how an AI teammate behaves before building its own. Each one arrives with a role and a job description you can adjust. They're autonomous agents with a job to do, not assistants waiting on a prompt.

You can create a coworker for a specific function by choosing one job first and expanding later. Research, marketing, planning, and operations are common starting points. So where do you begin? Pick the chore your team hates most. The coworker inherits the tools, context, and instructions you assign, so its scope stays predictable.

Coworkers connect to the apps, data, and systems your team already runs on, including Slack, Google, Linear, QuickBooks, and Meta Ads. That range matters because the value shows up when a coworker can act inside your tools rather than just describe what to do. It can create and update records directly in connected apps. That's the difference between advice and work.

Every coworker has its own permissions, so you decide exactly what it can read or change. You can keep a research coworker out of billing systems while letting an operations one touch tickets. That separation is the point. This keeps autonomous work inside limits you set rather than trusting a single account-wide toggle.

Backdrop keeps you in the loop with approval steps, activity visibility, and a shared memory of your product. Coworkers lean on that context, so their work stays consistent over time. When something needs a human decision, it stops and waits instead of guessing.

The platform is set up for common industries including e-commerce, manufacturing, agencies, and SaaS, with dashboards that surface live signals like open customer issues or low inventory. The framing is operational: spot a change, then act, all without leaving the workspace. Simple enough in theory. The catch is getting your data connected first.