Report Writingprepare a report on any topic with AI
AI writes an informative report with facts, structure and conclusions - for a class, seminar or conference.
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All payment methodsReady-made prompts
Paper outline
Build an outline for a paper on my topic: introduction, three chapters with sections, conclusion. One line on what each section covers and a rough page count.
Introduction
Write the introduction to the paper: relevance, the problem, the aim, the objectives, the object and subject of the research, the methods and the structure of the paper. I will give the topic in my next message.
Reference list
Find 15 sources on the topic and format the reference list in APA style. Most recent work first, and note which source is useful for which chapter.
Conclusion from the chapters
Write the conclusion to the paper: one finding per chapter, an answer to the aim set out in the introduction, and a paragraph on the practical value.
Raise the originality score
Rewrite the text in your own words, keeping the meaning, the terminology and every figure. Change the sentence structure and the order of the arguments, do not add new facts.
Examples created by our users
AArtyomFourth-year student I started my dissertation with the outline: I got the structure by chapter with a length for each. I wrote the rest myself, but I stopped getting stuck on "where do I start".
KKseniyaMaster's student I put the reference list together in ten minutes instead of an evening in the library, already annotated with which source suits which chapter.
VVladimirPhD student I ask it to write the conclusion from the finished chapters - it comes out as coherent text that answers the aim from the introduction. I only tidy up the details.
Why Moleculs.ai
A straightforward way to work with AI
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What kinds of reports does AI create?
From a short 3-minute talk to a full report for an academic conference.
School report
A structured writeup on a class topic - with facts and interesting details.
Seminar report
A detailed overview of a topic with source quotes and your own analysis.
Academic report
Conference format: problem, methods, results, conclusions.
Literature review
A systematic review of literature and research on a given topic.
Current-events report
Analysis of a current situation backed by data and expert opinion.
Presentation report
The report text plus slides for a visual accompaniment to your talk.
How to prepare a report
- Step 01
Give the topic and length
Topic, audience, and how many minutes the report should run.
- Step 02
Get an outline
Intro, key points, conclusion - with logical transitions between them.
- Step 03
Build the text
The AI writes the report with examples and connecting passages.
- Step 04
Prepare your delivery
Ask it to trim to your time slot and mark what to emphasize out loud.
What our users say
Real reviews from our Telegram community
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with Moleculs.ai, it's cheaper and faster
with Moleculs.ai you get dozens of models in one subscription, clear limits, and ready-made presets that save you time. It helps you scale content, work as a team, and automate routine tasks without extra costs. All of it faster, simpler, and cheaper than piecing together separate tools.
Choose a plan for your needs
Answers to questions
For study materials on Moleculai: describe the task - document type, topic, structure and length requirements - and the AI generates a result in seconds. The platform has 9 models: ChatGPT, Claude, DeepSeek, Gemini, Kimi, Grok, Llama, Qwen, and Nano Banana. For formal documents, we recommend Claude - it produces a clear structure. ChatGPT works well for creative tasks.
Try Moleculs.ai right now
Describe your task in one field and get a finished result in minutes. Moleculs.ai brings together the best AI models for text, images, video, and voice in a single interface. Start with a free generation, then subscribe to work without limits: write text, scale content, and switch between models without juggling extra tools.
A presentation isn't an essay and it isn't handout notes
Confusing the genres is the main reason an AI for presentations gives you the wrong thing. An essay is written to be read; a presentation is written to be heard. Everything else follows from that: short sentences, one point per paragraph, key ideas repeated, no tangled subordinate clauses that lose the listener halfway through.
Ask an AI model to "write a presentation" and by default it produces written prose full of phrases like "in light of the above." Fine to read, impossible to say out loud. So the prompt should spell it out up front: this is a spoken text, in plain sentences, for a specific number of minutes.
How many words per minute
A relaxed speaking pace is roughly 120-130 words per minute. A three-minute presentation runs 350-400 words, seven minutes is about 900, fifteen minutes is close to two thousand. Ask for length in minutes, not words, and always time yourself with a stopwatch - almost every first draft turns out longer than it feels.
How to phrase the request
- Name the audience. A school class, a university seminar, a conference, a team meeting - it decides both the vocabulary and the depth.
- Give the time limit. "5 minutes" is more useful than "keep it short."
- Narrow the topic. "Ecology" isn't a presentation topic; "how microplastics affect freshwater fish" is. A broad prompt gets you filler.
- Ask for the structure separately. Get a four- or five-point outline first, then the full text built on the approved outline. Fewer rewrites that way.
- Ask for spoken connectors. Phrases like "now to the main point" or "here's what matters" are what keeps a listener's attention.
Fact-checking is not optional
An AI can write a presentation online in under a minute, but it can invent numbers, dates, names, and study titles with total confidence. Check every specific claim yourself - statistics and source references especially. That's not a flaw in the tool, it's what it does: it generates plausible text, not verified text.
A practical trick: ask it to flag every number and claim that needs checking in a separate list at the end. That way you know exactly what to verify.
A structure that works out loud
The opening line has to hook people: a question, a surprising number, a short story. Then explain why the topic matters to the audience. After that, two or three main sections, each carrying one idea and one example. Close with a single-sentence takeaway the audience can walk away with.
It's worth writing the introduction and conclusion last, once the body is done - that way they reflect what the presentation actually says instead of promising something it doesn't deliver.
What to do about questions afterward
It's worth asking the AI, separately, to come up with five questions people might ask about the presentation and short answers to them. It takes a minute and removes most of the fear of speaking - the questions people actually ask usually turn out to be on that list.
Different presentations need different approaches
School. The main thing is to fit the time slot and speak in your own words. Ask for simple vocabulary, short sentences, and one vivid example the class will remember. Any term you can't explain yourself is better left out.
University seminar. Here structure and sourcing matter. It helps to ask not for a finished text but for a bullet-point skeleton that flags where a citation is needed - then fill it in yourself from what you've read.
Academic conference. The time limit is strict, usually seven to ten minutes. The format is different too: problem statement, method, result, limitations. Ask for exactly that structure, or you'll end up with a literature review instead of a research talk.
Work meeting. The audience wants the conclusion, not the path to it. Flip the structure: lead with the result and what you're proposing to do, then the reasoning for anyone who wants it.
A presentation with slides
If slides are part of the talk, write the spoken text and the slides separately. A slide is something for the eye to rest on, not a transcript of the speech - three or four words in a headline, one idea per slide. Ask the AI for the spoken text and the slide list with captions as two separate outputs. Asking for both in one prompt usually ends with slides crammed full of paragraphs.
The honest limit
An AI puts a presentation together fast, but you're still the one who has to deliver it. A text you don't understand is audible from the first sentence: the intonation goes flat, pauses land in the wrong places, and there's nothing to say when someone asks a question. So the sensible order is: generate a draft, read it out loud start to finish, cut anything you can't explain in your own words, and add in what you actually know.
It's worth running the finished text out loud twice - once to time it, once to mark where you stumble. You'll usually stumble exactly where the model got too bookish, and those are the lines worth rewriting in your own voice.
