Good training and evaluation data for AI agents is hard to come by. Real workflows are messy, fragmented, and often locked behind fragile integrations. Using production data directly risks exposing sensitive information and can quickly become a compliance nightmare. Synthetic data offers a cleaner alternative, but it must still feel real. The key is to generate interaction scenarios that closely mirror actual user behavior, not idealized examples.
The problem with real workflow data
Most teams struggle to collect high‑quality labeled interaction data at scale. A typical support ticket platform might capture only the final outcome, not the sequence of clicks, context switches, and tool usage that led to it. This leaves gaps in the training signals that models need to generalize across different environments and workflows.
Capturing the full interaction sequence
Computer use agents can sit on a real desktop and execute tasks exactly as a human would. They record screen states, mouse movements, keystrokes, and contextual information such as open windows and application states. This creates a rich, multi‑modal record of how a user moves through a workflow. Research on data‑augmented agent training shows that adding these detailed interaction traces can boost performance on unseen tasks by 15, 30 percent compared to using only text‑only logs.
Key tradeoffs to consider
- Real workflows are expensive to capture at scale.
- Production environments often block recording or require complex permissions.
- Synthetic data lets you replay scenarios repeatedly without operational overhead.
- Quality depends on how faithfully the agent reproduces genuine user patterns.
The most effective synthetic datasets are built by replaying realistic interaction trajectories, not inventing idealized steps.
How Coasty fits
Coasty runs computer use agents on real desktops and browsers to capture realistic interaction data. This enables the creation of synthetic datasets and trajectories tailored to specific workflows, tools, and domains. The offering is a custom service designed around your needs, and the Coasty data team can help define the right scenarios, quality criteria, and formats for your use case.
If you want to build robust, realistic training and evaluation data for computer use agents, book a data call with the Coasty data team to explore how they can help you build the right synthetic datasets for your workflows. https://cal.com/coasty/coasty-data-call
Want to see this in action?
View Case Studies