Choosing your first AI employee
Choose a bounded first job, prepare approved knowledge and agree on the human handoff before a build.
Start with a job you can explain
An AI employee needs a job, not just a name. Begin with a task that already has a clear owner and a recognizable finish. Answering visitor questions from approved business information is a useful example. Write down what the visitor needs, what information the employee may use and what should happen when it cannot answer. This is a preparation exercise, not a claim that any particular business will see a financial result. A small, clear brief makes it easier to discuss the right package and to check whether the proposed employee actually fits your work.
NetShow describes an AI employee as an AI agent set up around a business role. The platform connects an agent's intelligence with knowledge, memory, tools and a public face and voice. These pieces serve different purposes. Knowledge supplies approved facts; tools define possible actions; the face and voice help visitors understand who is guiding them. The employee identifies itself as an AI. None of these pieces removes the need for a person to own the business decision. Before discussing a broad rollout, decide who receives questions that need judgment and who may approve consequential actions.
Prepare information the employee may use
Collect the pages, product descriptions and answers you already approve for customers. Separate current facts from internal ideas, old offers and draft language. If an answer depends on a location, product or customer agreement, say so in the brief. A helpful preparation document includes the question, the approved answer and the source someone can check. Avoid copying an entire private archive simply because it is available. Start with information required for the first job. This gives you a clearer way to review an answer and reduces ambiguity about what the employee should say in public.
Make a second list for things the employee must ask a person about. Pricing exceptions, unresolved complaints and commitments outside the written package belong in that discussion. Do not assume a fluent answer means an action was approved or completed. In your review, distinguish an explanation, a prepared draft and an executed task. Ask the team how the proposed workflow shows that distinction. You can also prepare ordinary sample questions, an ambiguous question and a question whose answer is absent from your approved sources. The last two are particularly useful for discussing when the employee should ask for clarification or hand over.
Read the package and its status together
The public AI employees page gives a starting price of $699 a month. Treat that as the starting point for a scoped conversation, not a universal quote for every job. The page distinguishes live functionality, work set up for you by the team and functionality still in build. Read those labels alongside the feature description. A task described as in build should not silently become a requirement you assume is ready. Ask for the proposed scope and exact price in writing after the build discussion. Do not estimate savings from a starting price or assume every possible integration is included.
The same care applies to a larger team. Several employees, shared information and work handed between roles require a clearer operating brief than a single visitor guide. Describe which person owns each stage and how a problem returns to that person. NetShow's Harness connects the agent or runtime you already use with the platform's presentation and tools, but a connection alone does not establish a business process. Bring your existing tools and constraints to the discussion. A good first plan names what will be connected, what the employee may read and which proposed actions remain subject to your approval.
Review a realistic first experience
Walk through the visitor's experience in ordinary language. The AI should introduce itself, explain the useful next step and answer from the approved material. For a question it cannot resolve, the handoff should be understandable without technical vocabulary. Ask how you will see what happened and how you can correct an approved answer later. Review a sample on a phone as well as a wider screen. Clear wording and readable information matter as much as an attractive character. This review is about whether a stranger can understand the job and the next step, not whether the employee can perform an entertaining demonstration.
Your next step is to visit the AI employees page and prepare a short brief for the build discussion. Include the first job, approved sources, responsible person, expected handoff and questions about availability. Keep additional roles in a separate list so they do not blur the initial scope. During review, ask for evidence of what works today and for a written description of anything that still needs setup or development. You are buying an agreed service for a business need, not a promise that every future capability already exists. A precise first brief helps both sides make an informed decision. Keep the brief with your approved sources so the person reviewing the build can check both the answer and its intended boundary.
Questions about this guide
What is an AI employee?
An AI agent set up around a business job, with approved knowledge, tools and a clear human handoff. It identifies itself as an AI.
Where do AI employee prices start?
NetShow AI employee packages start from $699 a month. The public pricing page describes the current packages; the exact scope and price are agreed in writing after the build discussion.
What do live, done for you and in build mean?
Live describes functionality available today. Done for you describes setup by the team. In build describes ongoing development, which should be kept separate from the agreed live scope.