Imagine you're sitting in front of a phishing report, you need an understandable management report in ten minutes, and you're wondering which AI model to open for it. This is exactly the point where many users lose time. This tutorial gives you a clear decision aid that helps you find the right model without much deliberation.
The video is only loaded from YouTube when you play it – data (including your IP address) is then transmitted to YouTube/Google. More in the privacy policy
Introduction
You have now gotten to know many language models: ChatGPT, Claude, Gemini, Copilot, Perplexity, Poe, DeepSeek, Grok, LM Studio, and Ollama. This selection is valuable, but in everyday work the question quickly arises as to which tool you should actually use right now. The answer can be found with two rules and four questions. According to the tutorial, the beginner rule covers about 90 percent of all tasks, and the pro rule supplements it for everyone who regularly produces content or automates.
Key Takeaways
The beginner rule is enough to get started: ChatGPT for texts, Claude for long content, Gemini for research, Copilot for office tasks, and Perplexity for facts with sources.
The pro rule refines the selection for creators and entrepreneurs who regularly create content or automate processes.
With four questions about the task (creative or research, short or long, new or background knowledge, online or offline), you find the right model in seconds.
For sensitive data and data protection, you should rely on local models such as LM Studio or Ollama.
Multiple models combined work like a team in which each model plays to its strengths.
Step-by-Step Guide
Step 1: Use the beginner rule as a foundation
Start with the simple rule for beginners. It assigns a model to each task type. ChatGPT is suitable for texts of all kinds, such as emails, policy drafts, or summaries of brief incidents. You turn to Claude when long documents come up, such as a complete security concept or an extensive contract that you want to improve. Gemini is your choice for research and current topics. Microsoft's Copilot plays to its strengths with documents, spreadsheets, and presentations. Perplexity gives you facts with clear answers and traceable sources.
Once you have these five assignments in mind, you cover most of your everyday tasks without having to think long.
Step 2: Get to know the pro rule for regular production
As soon as you regularly produce content or build automations, the beginner rule is no longer enough. Then you turn to the pro rule, which makes your model choice more precise. It is particularly worthwhile if you go through the same work steps again and again, such as creating weekly security newsletters or evaluating alerts.
Step 3: Use ChatGPT and Claude purposefully
Use ChatGPT when you need ideas or want to solve complex text tasks. The model is well suited to brainstorming, such as titles for an awareness workshop or alternative wording for a policy. Claude comes into play when it comes to large amounts of data and files. With it, you can write entire chapters or improve existing content in a targeted way without losing context.
Step 4: Match Gemini, Perplexity, and Copilot to their strengths
You reach for Gemini when you need current topics, want to analyze data from the internet, or need emotional texts, for example a personal address to a team after a security incident.
You use Perplexity as soon as you need facts. You get clear answers and reliable sources that you can cross-check. Especially with standards, deadlines, or product versions, this is worth its weight in gold.
Copilot is the right choice for office workflows. If you want to automate documents, spreadsheets, or presentations, you can work with Power Automate, for example, and link recurring steps.
Step 5: Choose specialized tools for comparison, cost, and data protection
Poe helps you compare multiple models quickly. If you want to have a text generated by different models, Poe shows you which result appeals to you most.
DeepSeek offers you a free open-source solution that works very quickly and efficiently. This is interesting if you want to experiment without a budget.
You use Grok when you want to analyze content from X or current trends.
For fully local work, you turn to LM Studio or Ollama. Your data never leaves your computer and is not transferred to the cloud. This is the right choice for sensitive information, such as log files containing personal data or internal vulnerability reports.
Step 6: Apply the four questions for a quick decision
If you are unsure about a task, ask yourself four questions. First: Is it creative or research work? Second: Is it short or rather long? Third: Is it new knowledge or background knowledge? Fourth: Do I need the model online or offline?
With these answers, you almost automatically end up with the right model. Creative and short leads to ChatGPT, research and new leads to Gemini or Perplexity, long and offline leads to Claude with a local alternative.
Step 7: Combine models into a team
The most important step is not to use just one model, but several. Think of it like a small team. One model writes the draft, a second researches the basics, a third checks the facts, and a fourth automates the entire workflow. This way you work faster and in a more structured manner, and the quality of your content increases significantly. Since many models have a free version, you don't need to fear the cost of getting started.
Step 8: Anchor the decision aid in your daily routine
In conclusion, you now have a clear decision aid in hand, with which you can immediately choose the suitable model, without testing and without losing time. The next step is about combining models and building your own local setup that works like a digital team for you.
Summary ??? AI Model Selection: Which Tool for Every Security Task
You don't have to rethink the choice of model every time. The beginner rule assigns the most common tasks to the appropriate models, while the pro rule refines the approach for regular production and automation. With the four questions about creativity, length, timeliness, and online need, you make the right decision in seconds. Sensitive data belongs on local models, and combining several models delivers the best results. With that, you have everything you need for a fast and secure model selection.
FAQ
Which model should I use first as a beginner?Start with the beginner rule: ChatGPT for texts, Claude for long content, Gemini for research, Copilot for office tasks, and Perplexity for facts with sources.
When is the pro rule worthwhile?The pro rule is worthwhile if you regularly produce content or work with automations and need a more precise choice of model for that.
Which models are suitable for privacy-sensitive information?For sensitive data, you should use local models such as LM Studio or Ollama, as your data is not transferred to the cloud.
What are the four questions for model selection?Ask yourself whether the task is creative or research-based, whether it is short or long, whether you need new knowledge or background knowledge, and whether you need to work online or offline.
Why should I combine several models?Different models have different strengths. If one writes, another researches, and a third checks the facts, the speed and quality of your results increase.
Is getting started with these models paid?Many models offer a free version, so you can start at no cost.
