Comparison

What AI tool fits each task?

A good writing tool doesn't have to be the best for research, programming, creating images, or automating an in-house process.

Quick Map

Text: ChatGPT, Claude, Gemini or Copilot. Investigation: Perplexity, ChatGPT, Claude, Gemini or NotebookLM depending on the sources. Code: Cursor, GitHub Copilot, Codex or Claude Code if it works directly on files. Image: editing tools with style and license control, ideas for networks, ad texts, service descriptions. Company: Privacy, permissions, cost and Manual plan B.

Text

Emails, complaints, offers and publications

Start with ChatGPT, Claude or Gemini. If the team lives in Microsoft 365, Copilot can be more comfortable than opening another platform. To evaluate, use three real texts: a customer response, an offer and a delicate email.

A good tool is not the one that writes the prettiest once, but the one that respects conditions, tone, and limits without making commercial promises.

Research

Web sources, documents and purchases with multiple options

Perplexity is a good first test when you need visible web sources. For your own documents, try ChatGPT, Claude, Gemini or NotebookLM. Always ask for a source table, date, conclusion and open questions.

If the response is long but you don't know where each piece of data comes from, use it as a draft, not as a decision-making base.

Code

Scripts, errors, web and technical automation

To learn or fix a small error, a general-purpose chatbot is enough. To touch a real project, it's better to have a tool that reads files and runs tests: Cursor, GitHub Copilot, Codex or Claude Code.

The minimum test is simple: a small change, local validation and a way to undo it if it fails.

Image

Creative visual resources and mockups

Choose by control, not just for spectacularity. For business, it's about being able to maintain style, edit details, export well and understand the usage license. If the resource represents a real product, avoid images that look nice but confusing.

Company

Repeated processes, data and teamwork

Before buying a suite, decide what task is repeated, who reviews the output and what data can be uploaded. Make, Zapier or n8n help connect processes; OpenAI, Anthropic or Google APIs make sense when there's integration and cost control.

Do not automate payments, contracts, sensitive data or real devices without human review, records and backup.

Order of decision

Define task, frequency, data to upload, quality required, budget and who reviews the result. Then test for a week before paying or migrating processes.

Avoid

Don't pay for an enormous suite if you only need to improve emails or summarize documents once a week. A small, clear, and affordable tool can be more useful than a platform full of features that you don't use.