To get real value from Deckster you should:
Use presentations as a tool to achieve your goals
Believe that the presentation's main goal is to deliver the message, not to “impress” with slides
Care about communication clarity and content quality
Deckster is not simply a slides maker, it is a communication assistant that generates slides as an end product, but most importantly it helps you to convert ideas into professionally structured presentations, following best practices from Nancy Duarte, Pyramid principle (Barbara Minto), and others.
Deckster will follow your exact command on how to structure a presentation and what content to include but works best when you provide a context of your situation and a goal and you leave everything else for Deckster (presentation structure, logic, and content).
Deckster do:
Determines the best-fit narrative for your objective and audience
Creates presentation structure including number and sequence of slides
Populates content based on your inputs
Can be supported with context to deliver better and much more personalized results
Allows you to tweak presentation content and structure through AI
Helps you automate image addition
Helps you automate chart generation
Gives you presentation recommendations for the best delivery
Leverages mental models in content creation
Deckster don't:
Design custom slide layout (although it is possible for our enterprise clients - learn more here)
Does not research on your behalf (for now)
Cannot be “trained” in a way a neural net is trained
Integrate data and automate data pulling
Step 1: Pick your mode (Speaking vs Sendout)
Before pasting, or writing your prompt you need to choose a presentation mode. The “speaking presentation” will have less text and details as it is oriented for real-life presentation, where you speak - no worries Deckster will advise you how to present verbally.
"Sendout presentation" is for when you send it out through email or chat - more text and details, aimed to provide more context without you speaking in real life.
Step 2: Craft a high-context prompt
Our most engaged users always provide a lot of details in their prompts. Similar to any other LLM-powered tool, like ChatGPT, or Claude you will get generic results if you don't provide enough context (garbage in - garbage out).
Our “favorite” prompt so far was - “Generate me a presentation about beer”. While we don't judge, this type of prompt will produce a subpar and vague presentation (here's an example), because of lacking context.
Good presentation prompt will have a lot of details and nuances that would sound more like the one below.
And here's an example of what we will get using this.
A good presentation prompt:
I want to create a presentation about craft beer for a curious but mostly uninformed general audience, aged 25–40.
The setting is a casual, in-person after-work meetup — the kind where people are social, relaxed, and open to learning but not expecting a formal lecture.
Most attendees drink beer occasionally. They’re familiar with brands like Heineken or Corona, but haven’t explored craft beer seriously.
I want the presentation to feel like a guided discovery: conversational, lightly humorous, and insight-driven. The tone should be intelligent but down-to-earth.
The core goal is to shift their mindset from “beer is just beer” to “beer is a crafted experience with culture, variety, and depth.”
You can weave in stories, analogies, and data — for example:
As of 2024, over 9,000 craft breweries operate in the U.S. alone — up from ~1,500 in 2000.
The global craft beer market is projected to reach $200B by 2030, growing at a CAGR of ~11%.
42% of Millennials say they prefer craft beer over mainstream beer (Statista, 2023).
In blind taste tests, 68% of casual drinkers prefer the flavor profile of a well-matched craft beer when explained properly.
You don’t need to follow a pre-set structure — just derive a logical, persuasive flow from the context.
I’ll be delivering this live, so use spoken-mode content: short bullets, clear headlines, crisp phrasing. Think “talking points,” not prose.
Feel free to surprise me with a compelling narrative or frame. You can even start with a myth, story, or provocative insight that grabs attention.
If you experience difficulty in coming up with a detailed prompt use our smart templates.
There you will just need to answer a few questions and this will already yield much better results.
Step 3: Iterate to improve
As in everything, the best results are achieved through repetition. Recently we have spotted that our best and most engaged users iterate. They start with one prompt, they generate the first version of the presentation draft - this acts as feedback on the prompt, then adjust the prompt and try again, a few times, until they get a desirable presentation.
Then they export PP or Google slides.
So, to get to your best presentation - perfect your prompt through iterations.
Step 4: Edit with AI
Given a good prompt and a few iterations, you will get a great presentation draft in less than 30 minutes. Next, you will get to our AI driver presentation editor. Where you will be able to fine-tune your presentation draft, slide by slide.
Slide content regenerate
You will be able to regenerate each slide content separately. Want to add more details on the problem context slide? No problem, just type - let’s elaborate some details.
Slide addition and deletion
You can delete, or add slides from our big slide library. At Deckster slides are not classified by look (bullet points slides, timeline slides, etc), but rather by application - problem statement, solutions context, arguments, etc.
Images selection
Some slides are pre-populated with image placeholders. There you will see a button - “Change image”. When you click on a button, Deckster will understand what the slide is about and it will select 6 images it thinks best fit the slide. Choose one.
Chart generation
Similar to images. If you have some data in your initial prompt Deckster will use it to prepopulate charts based on that data and presentation narrative, so your data would tell a story, not just show numbers. Alternatively, you can upload a CSV or XLS file for a data slide and it will be converted to a chart.
Step 5: Get Delivery Tips
We believe that slides are just 40% of the presentation. The other 60% comes from the actual delivery.
That is why together with slides Deckster also generates personalized presentation delivery recommendations.
Based on top presenters' knowledge, various communication techniques, and mental models our presentation approach goal is to make you 100% ready, instead of tireless presentation rehearsal.
Step 6: Export to PowerPoint or Slides
Finally, after all the edits you could click a button, and get a fully editable PowerPoint or Google Slides presentation draft. Ready to be used as is, or being subject to further edits, with for example confidential information.
Bonus point: Apply custom styling
We mentioned in the beginning that we deliberately don't focus on the visual part of the presentation. We know that it still should look good and on brand. That's why we allow you to apply your theme - colors, font, and logo.
The magic is that it is applied with a few clicks and applied to all your created or future presentations.
Deckster is powered by one of the modern AI technologies - large language models, or LLMs. Think of them as the next big shift, like when the internet first showed up. There’s hype, high hopes, and lots of noise. And while LLMs are a real breakthrough, they’re not all-powerful robots coming to take your job tomorrow.
At their core, LLMs are just next-token (part of the word) predictors. They look at what’s been said and guess what comes next - kind of like autocomplete, but trained on trillions of words and millions of web documents, with layers of logic that make the output feel surprising … real, almost human-like.
Two things make them feel different from your old Nokia’s T9:
1. They’ve been trained to predict the next token on massive, diverse text data - imagine 1 million books. If you read one book a week, it would take you over 32,000 years to read through GPT-4’s training dataset.
2. They’ve gone through a ton of fine-tuning - using tricks like feedback from real humans and carefully designed prompts - that help them behave more like a helpful assistant.
To many people, LLMs feel almost human. But let’s be clear: they’re not thinking, sentient beings. They’re powerful pattern guessers. And like any tool, they’re not great at everything - but they are incredibly good at a few things. Things like summarizing dense documents, rewriting code, or helping you brainstorm - tasks with clear structure and lots of examples in the training data.
In those cases? They can perform at superhuman levels.
Deckster leverages the superhuman strength of LLM's to help you make better presentations and achieve your goals.