AI Productivity · Level 0 · Start here

Chatbots, Assistants, Generators: The Main Types of AI Tools

Chat assistants, writing helpers, answer engines, meeting tools, slide makers, media generators, planners: what each type does and when you need one.

By 7 min read
Chat assistants, writing helpers, answer engines, meeting tools, slide makers, media generators, planners: what each type does and when you need one.

Chatbot, copilot, assistant, generator, notetaker: AI tools come with many names, and new ones appear every week. Many of them seem to do the same thing. Others look alike but do something completely different. As a beginner, it is hard to see where one type ends and the next begins.

This is part 2 of Level 0 in our learning path. In part 1, you saw which everyday tasks AI can help with. Now you will learn the main types of AI tools, a simple way to tell them apart, and how to decide whether one general assistant is enough for you.

Eight types of AI tools you will meet at work

Most AI tools for everyday office work belong to one of eight types. Seven of them are new products built around AI. The eighth is easy to overlook: the software you already use, which has added AI features.

Grid of eight AI tool types with icons: chat assistants, writing helpers, answer engines, meeting assistants, presentation makers, media generators, planners and AI in your software, plus a tip to start with a chat assistant
Eight types of AI tools for everyday work. Most beginners start with a general chat assistant.

The most common type is the general chat assistant: a chat window where you type a request in normal language and get an answer. ChatGPT and Google Gemini are the best-known examples. They draft, summarize, explain and collect ideas, and many of them can also read files or create images. The other seven types are more focused. Each one does a specific kind of job, but often goes deeper than a chat window can.

Tell the types apart by input and output

Product names and marketing words do not help much. A better test is to ask two questions: What do I put in? What do I get out? The input is what you give the tool: a question, a document, a recording, your calendar. The output is what it gives back: text, slides, an image, a schedule.

Chatbots, Assistants, Generators: The Main Types of AI Tools
TypeYou put inYou get outExamples in our comparison
General chat assistantA question or request, often with a fileAnswers, drafts, summaries; often images tooChatGPT, Google Gemini
Writing helperText you have writtenThe same text, rephrased, shorter or correctedQuillBot
Answer engineA research questionA summary with links to its sourcesConsensus, Nouswise
Meeting assistantThe audio of a meetingTranscript, summary, action itemsMeetGeek
Presentation makerA topic or an outlineDesigned slides you can editGamma, Beautiful.ai
Media generatorA description of the resultAn image, video clip, voice recording or songMidjourney, Runway, ElevenLabs, Suno
PlannerYour calendar and tasksA schedule with focus time and meetingsReclaim.ai
AI in your softwareYour work inside that softwareDrafts and summaries right where you workClickUp, Canva

Two terms in the table need a short explanation. An answer engine is an AI-powered search tool. It searches sources — the web, research papers or your own documents — and summarizes what they say, with references. A media generator creates new images, video, voices or music from a text description, called a prompt. How to check the sources of an answer engine is part of research with AI in Level 1.

Here are six of these tools from our comparison. Each card leads to the tool’s entry with a short assessment:

Short descriptions from our tool comparison, based on the vendors' information — not tested by ABXK.

One detail can confuse you in our comparison: ChatGPT and Google Gemini are listed in the Text-to-Image area, because that is where they compete with specialist image tools. Both are still general assistants that also write, summarize and answer questions.

When a general assistant is enough — and when a specialist helps

For your first steps, one general chat assistant covers a lot: drafting an email, summarizing a long document, explaining a term, collecting ideas, even creating a simple picture. If your company has approved an assistant, start there. A specialist is a tool built for one kind of task, such as meetings or slides. It is worth a look when your task passes one of three tests:

Decision diagram with three questions: does the task need special input, does it need a finished format, does it repeat every week; each yes leads to a specialist, three no answers lead to a general chat assistant
Three questions decide whether a general chat assistant is enough for a task.

  1. Special input. The tool needs something that a chat window does not see: the audio of your meetings, your calendar, a large collection of research papers.
  2. A finished format. You need more than text: designed slides, an edited video, a voice recording in studio quality.
  3. Repetition. The task comes back every week, and a specialist can do it automatically — for example, a meeting assistant that records and summarizes every call.

Planners show the first test well. An AI calendar works directly in your calendar. According to the vendor, Reclaim.ai schedules tasks, meetings and breaks automatically and protects focus time. With a plain chat window, you would have to copy your schedule in and out by hand.

Reclaim.ai — image from the vendor's website
Reclaim.ai: AI calendar that protects focus time and schedules meetings automatically. Image: source reclaim.ai. Reclaim.ai in our comparison →

Specialists also have costs that are easy to miss: one more account, one more place that stores your data, and one more tool to learn. That is why the order matters. Start general, and add a specialist only when a task passes one of the three tests. Part 5 of this level turns this into a checklist for choosing your first tool.

AI at the core or AI as a feature

Our comparison marks the AI role of every tool. “AI at the core” means the product is built around an AI model: without AI, there would be no product. “Software with AI features” means an existing product, such as a project tool or a design app, that has added AI functions.

Stacked bar chart: listed tools per area in AI Productivity, split into AI at the core and software with AI features
AI role of the listed tools per area in our AI Productivity comparison. The numbers come straight from our tool data.

The chart shows a clear pattern. Almost all media generators are built around AI. In meetings and planning, presentations, and audio and video production, you also find established software that has added AI — for example ClickUp for project work or Prezi for presentations.

This matters for your choice. Before you sign up for something new, check the AI features of the software you already use. Your company may have approved it already, and it works with your existing files. On our tools page, you can filter all tools by AI role and compare up to four of them side by side.

Exercise: sort your own tasks by type

The types become useful when you apply them to your own week. This exercise takes about ten minutes and gives you a personal map of where AI tools could help.

Here is how three tasks might look:

Chatbots, Assistants, Generators: The Main Types of AI Tools (2)
TaskInputOutputTypeVerdict
Weekly status emailNotes from three meetingsA short email to the teamGeneral chat assistantGeneral is enough
Customer callsAudio of daily callsSummaries and to-dosMeeting assistantSpecialist: repeats daily
Quarterly review deckNumbers and key messages12 designed slidesPresentation makerSpecialist: finished format

Now look at your own list. If several tasks point to the same type of specialist, that type deserves a closer look. If most of them land on the general chat assistant, you do not need more tools yet. You need better prompts, and part 4 shows how to write your first prompt. A useful rule of thumb: a specialist should save you time on at least one task every week. Otherwise, the extra account and the time to learn it are not worth it.