A look into the abilities and use of Gamma
Gamma is a generative AI application that enables easy formatting and creation of PowerPoint presentations, website articles, or reports. Gamma is an online application that can be used after creating an account. You can access it directly here.
There are three tiers of plans:
The basic and free tier
The plus tier for ten dollars a month
The pro tier for twenty dollars a month
The key feature of the tool is its ability to take already gathered data and utilize AI to format and compile all the information into a useful and practical representation, in any form the user desires.
The plan details can be viewed directly at gamma.app/pricing. For this instruction set, we will only cover features that come with the free plan.
The target audience for this instructional guide would be college students who are looking for new ways to streamline projects and presentations for classes. Gamma is a very easy to use and understand application that can be comprehensible for any student, no matter their age, major, or computer experience. The application will be applicable to all ways of student life and can be adapted to most projects that a student will come across with their time in college, either in undergraduates or graduates. It will open up ways for them to better use their time for either school work or simply making slides for themselves to study from. This article is meant to introduce students to a new way of attacking projects and presentations that can allow them to more quickly, concisely, and efficiently report their information to the respective parties. The instruction will be written in a manner so that all the abilities and applications of Gamma are clearly explained. Some challenges might come in understanding how to edit and use your own notes for generating your projects; however, all will be shown in the instructions or should be basic and easy to understand for any person.
Generative Artificial Intelligence has grown greatly over the last couple years and has begun to make its way into all walks of life. One of the most important walks of life would be that of students, especially undergraduate and graduate college students. Generative AI is an application that can easily generate answers to problems and questions that these students face for their classes, be it projects or homework. Lately, the impact has begun to be so large that professors have to preface if Artificial Intelligence is or is not allowed for certain assignments. This calls into question the limits in which students should be able to use this Generative Artificial Intelligence and if it will become a helping hand or detriment to these students. There are some very useful Generative Artificial Intelligences with one among them being Gamma, which helps students streamline their ability to create presentations and reports based on their own notes for their classes. Generative AI can be a large detriment to a students ability to truly learn a subject if abused, but some AI, such as Gamma, can allow a student to flourish and be much more time effective in their work.
With the growth and development of Artificial Intelligence, it also creates unethical ways of being used. One of the most significant concerns is academic dishonesty. Many AI platforms can produce entirely written essays, reports, and complete assignments, which makes it easier for students to present AI-generated work as their own. However, there are positive uses that stem from the highly developed AI platforms. For example, AI could generate rebuttals and raise points that one may not have thought of in the first place (Zohny et al., 2023). This creates a more nuanced approach when writing an essay or completing a school project, as it raises new points and can create different views on a topic. Another positive aspect of using AI platforms, such as Gamma, is the ability to create various enhancements that augment an existing presentation. A critical function of Gamma is the “import of custom text, which it adapts and converts into a slide deck or document” (Presentations Powered by A.I. – Gamma.app Review – FMS TEL, 2023). Gamma also features an AI editor that offers suggestions to enhance presentations and slide decks. These tools, provided when using Gamma, can help users create meaningful presentations. Overall, when implemented ethically and thoughtfully, AI can create more efficient and unique presentations.
Nevertheless, the usefulness of generative AI tools such as Gamma does not mean one should ignore the implications it may have for intellectual property. Generative AI platforms such as Gamma neither disclose nor credit the source materials used to train their AI (Presentations Powered by A.I. – Gamma.app Review – FMS TEL, 2023). This remains an unresolved conundrum in the industry, as "significant legal challenges have emerged regarding the use of copyrighted materials in training AI models" (Bondary, 2025). Since people who would benefit from services like Gamma are involved in an academic setting in some capacity, it is essential to use generative AI cautiously, and only to outline or modify your written word in a way that does not infringe on copyright, depending on the usage. Furthermore, Gamma has stated that the use of their AI must be "disclosed in a manner that no reader could miss or not understand" (Gamma Acceptable Use Policy, 2024). While generative AI has immense potential to improve productivity and quality, it is also equally capable of destroying originality and creative values. As such, users of generative AI should take care to incorporate these tools into their processes in a way that does not violate any ethical or legal principles.
Throughout the review both the pros and cons of Generative Artificial Intelligence have been addressed. On the side of the detriments it is expressed that the Artificial Intelligence can easily lead to academic dishonesty with the student. Due to the Artificial Intelligence's ability to easily and quickly write thorough essays and reports on tough topics, students may decide to let the Artificial Intelligence do the work instead of doing it with their own abilities. However, when using applications such as Gamma Artificial intelligence can be used as a great tool for the students. As explained before, through using applications such as Gamma that can be easily used to assist the student instead of simply completing the assignments, a student can effectively use it. When it comes down to deciding if Artificial Intelligence is good or bad for a student, it simply falls on if the student decides to use it in a manner that violates their academic integrity of not. The use of Artificial Intelligence can be a great detriment to a student; however, if used correctly, Artificial Intelligence can be a great helping hand for all students who use it.
Below are some basic instructions. Refer to Gamma's help section for a more detailed explanation.
Paste in your text
Generate from a short prompt (for example: "Create a presentation about climate change for college students")
Import an external document (many options from traditional document formats to a website URL and Notion documents)
Alternatively, you can also start with a blank project by clicking on "New from Blank".
Presentation: Traditional slide-based format for lectures or pitches
Website: Multi-page web format for comprehensive information sharing
Document: Report or paper format for written assignments
Social Media Post: Optimized for sharing on social platforms
Step 6: Customize Your Gamma
After clicking "Generate outline", Gamma will create a rough draft for your project, with some information on each card. Below the outline, you will see some additional settings:
Themes: Affect fonts, colors, and overall design approach (essentially templates)
Image Source: Choose from AI-generated images, stock photos, fetch from the internet, or upload your own
AI Image Model: Choose the AI model of image generation (if you are choosing to generate AI images)
Additionally, you can specify how much content should be put in each card (Brief, Medium, Detailed).
Step 7: Advanced Settings (Optional)
Advanced settings can be accessed at the bottom by clicking on "Advanced mode". Doing so will take you to a new window with some interesting and useful settings:
Write for... (Target Audience): Prompt gamma to customize the content for a specific audience
Tone: Prompt gamma to generate content to convey the message in a specific way
Step 8: Generate Your Project
Click the "Generate" button and watch as Gamma creates your project in real-time through each section.
Generated results can vary depending on your input method. Generated AI should only be used as a starting point. You will need to ensure the content is accurate and relevant.
You should now be ready to start utilizing Gamma for your projects. Below are some tips for optimal use.
Pre-Generation Best Practices:
Conduct thorough research before starting your project
Fact-check all information sources
Organize your content logically before inputting
Content Quality Control:
Always verify AI-generated information against reliable sources
Add personal insights and original analysis
For technical issues, please contact Gamma support.
Rising Junior and Aerospace Engineering Major
Responsibilities:
Editor/Submitter
Gather Site Information
Analyze the Audience
Third Year Material Science and Engineering Student
Responsibilities:
Spokesperson
Gather Sources and Research
Oversee and edit literature review
Second Year Computer Science Major
Responsibities:
Project Manager
Verify source credibility
Quality control
Bondari, N. (2025, February 4). AI, copyright, and the law: The ongoing battle over intellectual property rights. USC Gould School of Law. https://sites.usc.edu/iptls/2025/02/04/ai-copyright-and-the-law-the-ongoing- battle-over-intellectual-property-rights/
Presentations powered by A.I – Gamma.app Review – FMS TEL. (2023, October 24). Ncl.ac.uk. https://blogs.ncl.ac.uk/fmstel/2023/10/24/presentations-powered-by-a-i-gamma-app-review/
Zohny, H., McMillan, J., & King, M. (2023). Ethics of generative AI. Journal of Medical Ethics, 49(2), 79–80.