Most students already use a chatbot to study, and most of them use it the same way: paste a question, copy the answer. That is the least useful way to use it. Here is what a general-purpose assistant is good for, what it quietly gets wrong, and how to tell which situation you are in. We build a study tool, so we have a view on this — which is why we are going to say where the plain chatbot is the right choice.
What a general chatbot is good at
- Explaining the same idea another way. If the textbook's version did not land, ask for it with an everyday example, or as if you were twelve.
- Making practice questions from text you paste in. Give it a page of your notes and ask for questions; it works with what is on the screen.
- Checking your explanation. Write your own explanation first, then ask what it gets wrong or leaves out.
- Brainstorming a study plan or a way to organise a topic you already understand.
Prompts that make it a tutor, not an answer machine
- "Do not give me the answer. Ask me questions one at a time to find where I am confused about this."
- "Here is my explanation of the idea. Tell me exactly what is wrong or missing."
- "Give me five questions on this passage, one at a time, and mark my answer before showing the next."
- "Explain this step, then ask me to do the next one myself."
Where it goes wrong
- Citations and page numbers. A chatbot answering from memory can state a source, a quote or a page that does not exist, in a confident tone. If you will be marked on a fact, verify it in your own book.
- Material it has not seen. It does not know your teacher's slides, your board's emphasis or last year's paper unless you paste them, and a long paste may be only partly used.
- Bangla technical terms. Ask for অন্তরীকরণ in Bangla and you can get a faithful translation of derivative that appears nowhere in your textbook. Correct, and not what the exam script uses. How Porphy keeps terms in English explains the problem.
- Doing the work for you. A copied answer gets the homework done and does nothing for the exam.
When a tool built around your material does better
These are the cases Porphy was built for, and they are narrower than everything a chatbot can do:
- A topic you meet cold. It researches on the live web — a planner, 5 researchers, a critic — and writes a course in parts with the sources attached, so you can check any claim.
- Your own slides or chapter. Upload the file and the chat answers from your document and stays on it. A Project does the same across a whole subject, with answers that point to the material and page.
- The line you cannot get past. Highlight it and the voice tutor explains it aloud, drawing on a whiteboard, in Bangla or English.
- Practice you can check against the source. MCQs and flashcards from your material, with explanations — see how to check a generated question.
Porphy also makes mistakes, which is why every part of a course ships with its sources. It does not know your board's past questions, and a plain chatbot is often the faster tool for a quick rewording. Treat any AI output as a draft you verify, not a fact you copy.
A sensible way to use both
- Use a chatbot for quick rewording and for quizzing you on text you paste.
- Use Porphy when you need a sourced course, a chat that stays on your own file, or a spoken explanation in Bangla.
- Verify any fact, number or citation against your textbook before it goes into an answer.
- Whatever you use, do the retrieval yourself: close the book and answer before you look. Five methods that work covers why.
Every new account starts with 2,000 credits free — no card, no subscription, and they never expire. A full researched course runs about 600–1,200 credits, an MCQ set or flashcard deck 10–30, and the voice tutor 20–60 a minute. Free accounts run a lighter pipeline so the credits go further: at most 3 parts per course, with text and tables in place of generated visualizations.