Fazley RabbiThe best AI model for your business is the one that does your specific tasks well, handles the language your customers write in, fits your data rules and budget, and connects to the tools you already use. Leaderboards, launch videos and social media claims change constantly and rarely test the work you actually do. A short, fair test on your own examples will tell you more than all of them put together.
Why rankings and hype are a poor guide
Public comparisons of Claude, ChatGPT, Gemini and other models are interesting, but they answer a different question from yours.
- Benchmarks test general skills, such as maths puzzles or coding exercises, not "reply politely to an annoyed cash-on-delivery customer who wrote in Banglish".
- Models change often. Providers release new versions and retire old ones, so a ranking can be out of date within months.
- Demos show the best case. Your messy real inputs are the real test.
- The model is only part of the result. Clear instructions, good data and a sensible workflow often matter as much as which model you pick.
As a Claude Certified Developer I work with Claude a great deal, but I still start each project by testing the actual task rather than assuming any one model is the answer.
What to compare
| What to look at | What to check |
|---|---|
| Quality on your tasks | Run real examples and judge accuracy, tone and usefulness |
| Bangla and Banglish | Can it read mixed-script messages and write natural, not stiff, Bangla? |
| Following instructions | Does it keep to the format, length and rules you set, every time? |
| Honesty when unsure | Does it say it does not know, or does it invent an answer? |
| Data terms | How the provider stores and uses your inputs on the plan you would buy |
| Cost model | How you pay, and what that means at your expected volume |
| Speed | Is it fast enough for customers waiting on a reply? |
| Fit with your tools | Does it connect to your website, sheets, CRM or chosen automation tool? |
| Stability | Can you keep using a fixed version, and how are changes announced? |
Language deserves special attention in Bangladesh. The article on AI and the Bangla language explains what to look for in more detail.
Chat apps and APIs are different purchases
There are two common ways to use these models, and you should judge them separately.
- Chat apps are what staff open in a browser or phone to write, summarise or brainstorm. These are usually sold as plans per person. Here you compare ease of use, team management, sharing controls and the data terms of business plans.
- APIs let your own software call the model automatically, for example to read invoices or draft replies inside your system. These are usually charged by usage. Here you compare output quality on your task, reliability, cost at your volume and how easily the model fits into your code.
A business might reasonably use one provider's chat app for staff and a different model through an API for an automation. Check each provider's official pricing and terms pages for current details, because they change.
How to run your own test
- Choose the tasks. Pick the few jobs you actually want AI for, such as drafting replies, writing product descriptions or extracting invoice data.
- Collect real examples. Gather a small, varied set for each task, including the hard and messy ones. Remove names, phone numbers and other personal details first.
- Write one clear prompt per task and use exactly the same prompt for every model.
- Hide the labels. Put the outputs side by side without showing which model wrote which, and ask the person who normally does the job to judge them.
- Score simply. Usable as is, needs a small edit, or wrong.
- Check the practical side for the top candidates: data terms, cost model, integration and support.
- Decide, and retest later. When providers release new versions, rerun the same examples.
For a content task, the Bangla and English product content solution shows how such a test fits into a writing-and-review workflow.
Mistakes to avoid
- Choosing because a friend uses it. Their tasks are not yours.
- Testing only in English when most customers write in Bangla or Banglish.
- Pasting customer data into personal accounts during the test. Use anonymised examples and approved accounts; see keeping data safe when your team uses AI.
- Locking yourself in. Design automations so the model can be swapped later without rebuilding everything.
- Expecting the model to know your business. No model knows your prices, stock or policies unless you give them to it.
A short checklist before you commit
- I tested the model on my own real examples, in the languages my customers use.
- The person who does the job today judged the outputs.
- I have read the data terms for the exact plan I will use.
- I understand how I will be charged as volume grows.
- I know how it connects to my existing tools.
- I can switch models later if I need to.
If you would like help designing a fair test or choosing a model for an automation, see AI and workflow automation.