How to Get Multiple AI Employees to Answer the Same Task in SIMI

What happens when several AI employees are given the same task?

Instead of asking one AI employee for an answer, you can ask multiple employees to provide their own responses.

This is the focus of Part 3 of our Veridata AI company demonstration.

The objective is to allow several employees to examine the same work-related topic independently and provide their own views.

We begin by going to the Command section in SIMI.

We then select the agents we want to participate.

For this demonstration, we select all six Field Enumerators.

The six employees will receive the same instructions.

Once the six Field Enumerators have been selected, we enter our instructions in the chat box.

We then click Send.

The command is sent to all six selected employees.

Rather than manually repeating the same instructions six times, we can issue the command to the selected employees through the Command workflow.

The employees then process the instructions individually.

Each Field Enumerator provides its own views, ideas, observations, and findings.

This is different from a shared discussion.

The objective here is for each employee to provide an independent response based on its own perspective and assigned role.

After sending the command, we wait for the responses.

We then analyze each of the six responses individually.

We can compare the observations, ideas, and findings provided by each employee.

One response may identify an important point that another response does not mention.

Another employee may approach the task from a different perspective.

The result is a collection of independent contributions.

When multiple employees answer the same question independently, the company receives multiple viewpoints.

This can be useful when a task benefits from comparison.

Instead of depending on a single response, the information can be examined from several angles.

For Veridata, the six Field Enumerators provide separate contributions to the same objective.

An important part of this workflow is that the employees first provide their own responses.

They are not being asked to negotiate one shared answer.

This keeps the contributions independent.

The information can later be used in another workflow for review, analysis, or collaboration.

The Command section can make repetitive multi-agent tasks easier to manage.

When the same instruction needs to reach several employees, the selected employees can receive the command together.

This can be useful in an AI company where multiple workers perform similar types of tasks.

Independent responses can become inputs for future company workflows.

For example, the six Field Enumerator responses could later be shared with senior employees for review.

They could also be included in another analysis workflow.

The important point is that the information does not have to remain isolated.

Part 3 of the Veridata demonstration shows how SIMI can ask multiple AI employees to provide their own views on the same topic.

We select the six Field Enumerators through Command, send the same instructions, wait for their responses, and analyze each response individually.

This provides Veridata with multiple independent perspectives that can be used in later workflows.