Here we take a clear position: choose the task first, then test a specific tool, and only pay if it reduces real work. Last advisory review: August 2026.
Quick decision
If you want a simple first test, start with ChatGPT, Claude or Gemini on a free plan. If you work in Microsoft 365, add Copilot to the comparison. If you need web search with sources, try Perplexity. If you are going to code on real files, look at Cursor, GitHub Copilot, Codex or Claude Code.
You don't need to open ten accounts. Choose two options, use the same real example in both and stay with the one that reduces corrections, doubts or review time.
Write and respond
Emails, offers, complaints and commercial texts
Free trial: ChatGPT, Claude or Gemini. Paste a real customer email, your usual response and ask for three versions: clearer, shorter and kinder without promising anything you can't fulfill.
If you need more quality: Claude is usually a good fit for long-form writing and careful tone; ChatGPT is very versatile for iterating instructions; Copilot makes sense if the work lives in Word, Outlook or Teams.
Business example: a store receives ten weekly queries about deadlines. AI prepares a draft response with the deadline, conditions, next step and a friendly tone. The person only reviews concrete data before sending.
Measure: minutes saved by response, fewer corrections and fewer back-and-forth messages because the client understands better.
Investigate and summarize
Sources, documents, comparative analysis and decisions
Free trial: Perplexity for questions that need web sources; ChatGPT, Claude or Gemini for summarizing documents you can upload safely. Always ask for the date, source and open questions.
If you need more quality: A plan for reliable reading of large files and citations. NotebookLM can serve when you want to work on your own sources; Gemini fits well if you already use Google Drive; Claude is comfortable with long texts.
Business example: Before buying a machine, upload three quotes and ask for a table with price, conditions, maintenance, deadlines, risks and pending questions for each supplier.
Measure: If you find important differences beforehand and if AI indicates where each piece of data comes from. If it doesn't cite the source, don't treat it as reliable.
Code
Scripts, websites, technical automation and code review
Free trial: ChatGPT, Claude or Gemini to explain errors, design a small script or understand an API. Always ask for a small change and a way to test it.
If you need more quality: Cursor, GitHub Copilot, Codex or Claude Code makes more sense when reading multiple files, modifying a project and running tests. For a company, this is more important than a pretty response in a chat.
Business example: a workshop exports orders in CSV and someone reorders them by hand. A reviewable script can clean columns, detect unusual amounts and generate a file ready for accounting.
Measure: Check that the change works with real data, can be repeated and has a rollback if something goes wrong.
Automate
Repeated tasks between email, sheets, CRM and documents
Free trial: Before automating, use ChatGPT, Claude or Gemini to write the step-by-step procedure and detect exceptions. If you cannot explain the manual flow, it's not connected to tools yet.
If you need more quality: Make, Zapier or n8n can connect apps; Copilot can help in Microsoft environments; the OpenAI, Anthropic or Google API makes sense if you need to integrate it into your own tool with spending limits.
Business example: Each incident that arrives by email becomes a row with customer, urgency, summary and next step. First, it's reviewed manually; only then should you consider automating part of the workflow.
Measure: number of repeated tasks avoided, errors detected and review time. Good automation leaves a manual plan B and does not act alone on payments, contracts or critical devices.
What real text can you paste to test?
Use something that already wastes your time: a confusing customer email, an offer that takes too long to write, a lengthy budget, a complaint, a product description, a technical incident or a task list taken from a meeting. Remove personal data if you don't know how the tool handles it.
A useful instruction would be: 'Improve this text to send it to a client. Keep the content real, don't invent conditions, separate what's pending for confirmation and give me a brief, cordial and formal version'.
What if the decision involves risk?
When there's money, personal data, contracts, clients or real devices, AI shouldn't make decisions alone. However, it can save work: prepare a draft, order risks, summarize conditions and give you a checklist. The person reviews from a structured base instead of starting from scratch.
For these cases it is worth paying only if the tool reduces reading errors, maintains better context and allows reviewing sources or files with clarity. If the result forces you to redo everything, it is not a saving: it's another layer of work.
When to pay?
Pay when the same task appears every week, the free plan runs out and you've already tested with your own examples that a specific tool saves time or improves results. For a small business, a subscription of 20 or 30 euros makes sense if it avoids one or two hours of real work per month; if only used to test new things, wait. Before deciding, review the Comparison of prices, plans, and benchmarks.
When to switch tools?
Change only when a test with your data proves that another tool reduces corrections, saves time, or allows something that was previously impossible. Changing tools just for novelty usually creates more accounts, lost history, and small recurring fees.
Simple rule
If the task is occasional, use a free option. If you repeat it every week, create a template and compare two tools. If you repeat it every day, then test a paid plan with review date, clear limits, and a person responsible for the result.