TalusmarkCommon questions Start a conversation

Keywords are just labels

AI terms in plain English

You will hear a lot of labels: agents, agentic AI, copilots, chatbots, AI receptionists. They are labels. Two products with the same label can do very different things, and a good solution may not need the newest one.

Here is what the common terms usually mean and how they may or may not fit your business.

00

How much is it allowed to do?

Most of the confusion about "agents" goes away when you ask how much the tool may do without a person.

  1. Answer. Replies to questions from information you have approved.
  2. Draft. Prepares a message, reply, or report for a person to review and send.
  3. Act with approval. Proposes an action and waits for a yes.
  4. Act within limits. Handles a narrow, routine task by itself, with a log and a person watching the exceptions.
  5. Act on its own. Makes consequential decisions with no review.

For most small operators, the useful work sits in the first four. We keep reservations, payments, pricing, guest data, and safety under human approval.

01

AI agent

What people usually mean
AI that does more than answer. It takes steps: looks something up, fills in a form, sends a message, updates a record.
When it can fit
A repetitive task with clear rules, like pulling a weekly report, sorting an inbox, or following up on an inquiry, where a person approves anything that matters.
When it usually doesn't
When the underlying information is out of date, when no one owns checking it, or when the task involves money, reservations, or judgment calls that should stay with your team.
In our work
Agents show up as one possible way to build a workflow, usually starting at "draft" or "act with approval." If a simple automation or a better process does the job, we recommend that instead.

02

Agentic AI

What people usually mean
A broader marketing term for AI systems that plan and carry out multi-step work. Many products now use the word.
When it can fit
The same places an agent fits, once you know exactly which steps it takes and which ones need a person.
When it usually doesn't
When the label is the main selling point. Ask the vendor what it actually does, what it can change, and how you would know if it made a mistake.
In our work
We treat "agentic" as a question about how much a tool may do on its own, not as a product to buy.

03

Chatbot, AI assistant, or AI concierge

What people usually mean
A chat window (on a website, by text, or inside a tool) that answers questions in plain language.
When it can fit
Answering common guest or staff questions from approved, current information, with an easy hand-off to a person.
When it usually doesn't
When park or business information is scattered, outdated, or unowned. A chatbot repeats whatever it is given, confidently.
In our work
We usually start with the information behind it (a clear, owned knowledge base) before putting anything in front of guests.

04

Automation

What people usually mean
Software that runs fixed steps on a trigger: send this text at 9 a.m., copy this export, move this file.
When it can fit
Most of the time. Many "AI" wishes are really automation wishes, and plain automation is cheaper, more predictable, and easier to maintain.
When it usually doesn't
When the work needs reading, writing, or judgment that fixed rules cannot handle. That is where AI can help.
In our work
Often the first choice. We add AI only where it creates measurable value.

05

AI voice receptionist

What people usually mean
An AI that answers phone calls, responds to common questions, and takes messages or booking requests.
When it can fit
High call volume with repetitive questions, missed after-hours calls, and accurate information to draw from.
When it usually doesn't
When callers often need judgment, when emergencies or safety calls could reach it without a fast hand-off, or when no one will review what it says.
In our work
We help you decide whether one fits, set its rules, keep its information accurate, and check its work. We do not sell a voice product.

06

Generative AI, ChatGPT, Claude, Gemini

What people usually mean
General AI tools that write, summarize, explain, and brainstorm from a prompt.
When it can fit
Drafting emails, policies, listings, and social posts; summarizing reviews; thinking through a problem. This is where most teams should start.
When it usually doesn't
As a source of facts without checking, or with guest, payment, or employee data pasted in without clear rules.
In our work
Practical AI Training starts here, with simple rules for safe use.

07

"Trained on your data," custom GPTs, and knowledge bases

What people usually mean
An AI tool that answers from your own documents, policies, and information instead of the open internet.
When it can fit
When you have, or are willing to write down, the answers your team gives every day, and someone owns keeping them current.
When it usually doesn't
When the documents conflict or go stale. The tool cannot tell which version is right.
In our work
Getting approved information in order is often the most valuable first step, with or without AI on top.

09

Built-in AI in the software you already use

What people usually mean
AI features that your reservation system, email platform, or office software has added or plans to add.
When it can fit
Often. Switching on and governing a feature you already pay for can beat buying or building something new.
When it usually doesn't
When it is switched on without knowing what it can change, what data it uses, or who reviews it.
In our work
The AI Discovery & Operations Assessment checks what your current systems already offer before recommending anything new.

The short version

Start with the job, not the label.

Sometimes the answer is an agent. Often it is a clearer process, a better knowledge base, a simple automation, a feature you already own, or a decision to wait. If you are not sure which, a Free Intro Chat is a good place to sort it out.

Start a conversation