Top 10 Customer Requirements for GUI Agent Platform
GUIDE uses GUI agents to dramatically shorten the time it takes to automate workflows, along with a host of other benefits including lower costs and greater security. Let's take a look at the top 10 customer requirements.
Who Builds the GUI Agent? User, Technologist, or Developer? Most existing tools are developer-oriented which makes it too expensive and time-consuming to build a GUI agent. Customers are looking for no-code tools to build a GUI Agent.
How do we lower the time to build a GUI Agent? With the advent of AI, customers are looking for no-code tools that they can use to automate workflows in minutes vs. months.
How do we increase the accuracy of the GUI Agent? Does the GUI Agent complete its task as accurately or better than a human? This can be done by giving customers choices of models, assisting them with better prompt, better harness to bring tools & skills to the automation.
How do we increase the security of the GUI Agent?
How do we reduce the token cost of the GUI Agent? The #1 factor in reducing token cost is enabling model choice. After that better prompts and better harness are key factors.
How do we reduce the time to run for a GUI Agent? Different models can take different amounts of time to automate a task. Prompts and harnesses can make a big difference also.
How we invoke the GUI Agent? Customers want to be able to the GUI agents from anywhere - any application interface, any chatbot, unattended, and with always-running tools like NemoClaw.
How does the GUI Agent gets its identity? This is key to security and access of other applications.
How do we run GUI Agents at scale? In order to run GUI agents at scale you need to be able to deploy to a Desktop as a Service platform.
How do we optimize the IaaS cost of running GUI Agents? Once you running the GUI agents at scale in the cloud, you need FinOps to make sure that the infrastructure costs are under control.
