How to Use · Choosing tools
Which kind of AI tool is this for?
Begin with the task you want to finish. The right category of tool depends on its inputs, the output you need, and how you will check the result—not simply whether it is described as AI.
Conversation and drafting
A conversational assistant can help explore an idea, reorganise text or propose alternatives. It suits tasks where you can explain the goal in words and examine the response. For example, you might compare three ways to introduce a hobby newsletter.
Check whether the particular tool can access the information your task requires. A chat window alone does not mean it has searched the web, opened a document or checked a fact. Ask for a description of the sources used and verify the important ones yourself.
Search and source-based work
When you need current facts, use a workflow that takes you to identifiable sources. An AI search summary may help locate material, but read the pages that support the claims you plan to use. Note publication dates and whether the information applies to your location.
For a question about an organisation’s rules, its own current guidance is usually the appropriate starting point. For a scientific claim, examine the original research and its limitations. A list of links is useful navigation; it is not proof that every sentence in a generated summary is supported.
Images, audio and video
Media tools are useful when the desired output is visual or audible: an illustration, a rough storyboard or a transcription. Specify purpose, audience and practical requirements such as image proportions or a readable caption.
Review the details appropriate to the medium. Generated text inside an image can be incorrect, a transcription can mishear a name, and a realistic scene can depict an event that never happened. Do not present fabricated material as documentary evidence. Check permissions and applicable usage terms before publishing material involving other people or protected work.
Numbers, spreadsheets and code
If the task is calculating a total, start with a calculator or spreadsheet formula. An assistant may help explain a formula or suggest code, but the calculation should be performed and checked in an appropriate tool.
Use a small example with a known answer before applying an unfamiliar formula to a larger dataset. Check missing values, units and whether the result covers the intended rows. A chart can look polished while describing the wrong data. Keep an untouched original before experimenting.
Actions and automation
An automation connects a trigger with an action, such as organising an incoming document or creating a draft reminder. Some assistants can also interact with other services. The consequences are different from merely proposing text.
Start with a reversible task and an explicit boundary. A system that drafts a message should not automatically send it unless that is part of the authorised workflow. Decide what happens when information is missing, when a tool fails, or when the action cannot be undone. Check actual completion rather than assuming a plan was carried out.
Use a small selection checklist
Before adopting a tool, write down five things: the task, the information it needs, the output you expect, how you will verify it, and what a mistake would cost. Compare the tool’s current documented capabilities with that list.
Try a non-sensitive sample before uploading real work. Check cost, accessibility, export options and data handling in the current service documentation. This guide compares task categories rather than recommending a paid product; features vary between services and change over time.
If a familiar non-AI tool solves the problem clearly and reliably, it remains a good choice. The useful outcome is a completed task you can trust, not the maximum possible use of AI.
Sources and further reading
The exercises and examples are Virel AI’s practical suggestions. These resources provide supporting guidance and broader context.