Google AI Studio – A True AI Companion!

Last week Google AI Studio released a feature that showcases the AI personalized companion use case –

It will change How-To Videos, Training Courses and Tutorial videos “industry” 100% Let me explain…

Multimodal AI tools like Google’s Gemini 2.0 are poised to disrupt the traditional online education industry, particularly in the area of software tutorials and how-to videos. The shift is towards more interactive, personalized, and real-time learning experiences. For course creators, this means a need to move beyond basic instructions to sharing expertise, strategy, and workflow guidance. The future likely involves AI agents that can further personalize and enhance the learning journey. Course creators must prepare to adapt to these changes to stay relevant.

Demo:

Traditional methods of creating and selling courses are being challenged by the advent of AI tools that can provide real-time, interactive assistance, making static, pre-recorded content less valuable.

• Traditional method of creating software tutorials through screen capture is becoming obsolete due to AI’s ability to interact directly with the user’s screen.
• The speaker in the “Gemini AI is Killing Software Tutorials”.
• The user is not limited to following a pre-determined lesson; they can ask questions specific to their needs.

1. Multimodal AI: The Game Changer

• Gemini 2.0 introduces “multimodal live input,” which allows it to interact with voice, camera, and screen sharing in real-time. This functionality enables the AI to see and understand what the user is working on, providing contextual and immediate help.
• This is a move beyond simple text-based prompting to a more interactive and intuitive experience.
• The AI can follow complex processes, understand relationships between moving pieces, and recognize objects and actions in videos.

1. Shifting Value Proposition for Course Creators:

• The rise of AI-driven interactive help shifts the value from creating static how-to content to providing guidance based on experience and workflow.
• Course creators need to focus on sharing their unique expertise and strategies, not just the basic mechanics of software use.
• The focus should shift to the “DIY Plus” consumer – those who need personalized guidance, strategy, and workflow advice, rather than simply instructions on how to use a piece of software.

1. The Evolution of Learning Experiences:

• The ability to interact directly with the software through AI provides a more efficient learning experience. Users can get instant answers to specific questions instead of watching long, pre-recorded videos.
• The learning becomes more dynamic, personalized, and less passive.
• The “End of Tutorials” video highlights how the AI provides guidance not just with software, but also with other applications such as PowerPoint and DaVinci Resolve (video editing), showcasing a broad range of potential use.

1. The Future of Course Creation

• The traditional course creation process involves planning, producing, and marketing, all of which can be assisted by AI. The creation of syllabuses, scripts, content, marketing copy, is being made more efficient by tools like ChatGPT and Gemini.
• Instead of creating a perfectly scripted lesson plan, experts can simply demonstrate their process while being recorded.
• Gemini can then transcribe the audio, understand the visual demonstrations, pick out key points, and create supporting materials.
• The AI can even identify areas where students might struggle, providing recommendations for improving demonstrations or offering solutions for common problems.
• This means moving away from scripted and static content to more authentic and live capture that will create the content needed for courses.

1. AI Agents and the Next Stage:

• The sources also touch upon the next evolution: the move from prompting to AI agents.
• The speaker in “Why Gemini 2’s Multimodal AI Will Make Traditional Courses Obsolete” proposes that the next phase involves AI agents that can work within their own ecosystems.
• The idea is that AI will not just assist in content creation but will also act as a personalized learning companion, further changing the education landscape.

1. Considerations and Cautions

• The AI is able to see everything on the screen, therefore when working with confidential information, users should be cautious of what they share.
• With a free plan, Google may use the data to train models, so don’t share sensitive information.
• Relying purely on verbal instruction may sometimes be tricky, and features such as on-screen annotations would enhance user experience.

Additional Videos to view: