Duaer — Workflows that deliver results you accept

What

Duaer is a workflow product that positions itself as “digital employees” delivering work to a user-defined standard: name the outcome, the workflow does the work, and the user accepts the result. It appears aimed at teams and professionals with repeatable operational tasks—intake, software requests, requirements briefs, and document or sheet work—who need completed, acceptable output rather than another AI tool or process diagram. Its likely positioning is an applied-AI workflow layer where acceptance criteria, not prompt craft or step-by-step mapping, define success.

Features

• Outcome-first workflow execution: users define what “done and accepted” looks like, then the workflow works to that standard rather than requiring a pre-drawn process diagram.
• “Digital employee” handoff: the page says work should arrive only after it is completed, such as an email actually going out or report numbers adding up, reducing chasing, fixing, and cleanup.
• Starter templates: four examples are listed—organization chart, organization intake, software request intake, and software requirements chat—to help users test common intake, routing, and structured-brief workflows.
• Data market browsing: users can see available data items with name, deliverable, and cost; viewing does not search or spend a credit, while a successful search uses 1 credit.
• Reuse and change: the next job of the same kind can use an already accepted result, and the product is described as fast to change because the studio uses it in its own work.

Helpful Tips

• Define the accepted result in one sentence before choosing tools or mapping steps; the page treats this as the core starting point.
• Use the four starter templates to evaluate fit quickly, but treat them as examples for common workflows rather than a full implementation blueprint.
• Keep acceptance as a human quality gate: if the output is not satisfactory, change the workflow and send the work again rather than accepting partial results.
• Evaluate fit as an applied workflow layer: Duaer states it does not train foundation models, and the Data market has separate credit behavior—browsing does not spend a credit, while a successful search uses 1 credit.