Augmented Course Design: Using AI to Boost Efficiency and Expand Capacity — from er.educause.edu by Berlin Fang and Kim Broussard
The emerging class of generative AI tools has the potential to significantly alter the landscape of course development.

Using generative artificial intelligence (GenAI) tools such as ChatGPT, Gemini, or CoPilot as intelligent assistants in instructional design can significantly enhance the scalability of course development. GenAI can significantly improve the efficiency with which institutions develop content that is closely aligned with the curriculum and course objectives. As a result, institutions can more effectively meet the rising demand for flexible and high-quality education, preparing a new generation of future professionals equipped with the knowledge and skills to excel in their chosen fields.1 In this article, we illustrate the uses of AI in instructional design in terms of content creation, media development, and faculty support. We also provide some suggestions on the effective and ethical uses of AI in course design and development. Our perspectives are rooted in medical education, but the principles can be applied to any learning context.

Table 1 summarizes a few low-hanging fruits in AI usage in course development.
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Table 1. Types of Use of GenAI in Course Development
Practical Use of AI Use Scenarios and Examples
Inspiration
  • Exploring ideas for instructional strategies
  • Exploring ideas for assessment
  • Course mapping
  • Lesson or unit content planning
Supplementation
  • Text to audio
  • Transcription for audio
  • Alt text auto-generation
  • Design optimization (e.g., using Microsoft PPT Design)
Improvement
  • Improving learning objectives
  • Improving instructional materials
  • Improving course content writing (grammar, spelling, etc.)
Generation
  • Creating a PowerPoint draft using learning objectives
  • Creating peripheral content materials (introductions, conclusions)
  • Creating decorative images for content
Expansion
  • Creating a scenario based on learning objectives
  • Creating a draft of a case study
  • Creating a draft of a rubric

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Also see:

10 Ways Artificial Intelligence Is Transforming Instructional Design — from er.educause.edu by Rob Gibson
Artificial intelligence (AI) is providing instructors and course designers with an incredible array of new tools and techniques to improve the course design and development process. However, the intersection of AI and content creation is not new.

I have been telling my graduate instructional design students that AI technology is not likely to replace them any time soon because learning and instruction are still highly personalized and humanistic experiences. However, as these students embark on their careers, they will need to understand how to appropriately identify, select, and utilize AI when developing course content. Examples abound of how instructional designers are experimenting with AI to generate and align student learning outcomes with highly individualized course activities and assessments. Instructional designers are also using AI technology to create and continuously adapt the custom code and power scripts embedded into the learning management system to execute specific learning activities.Footnote1 Other useful examples include scripting and editing videos and podcasts.

Here are a few interesting examples of how AI is shaping and influencing instructional design. Some of the tools and resources can be used to satisfy a variety of course design activities, while others are very specific.


Taking the Lead: Why Instructional Designers Should Be at the Forefront of Learning in the Age of AI — from medium.com by Rob Gibson
Education is at a critical juncture and needs to draw leaders from a broader pool, including instructional designers

The world of a medieval stone cutter and a modern instructional designer (ID) may seem separated by a great distance, but I wager any ID who upon hearing the story I just shared would experience an uneasy sense of déjà vu. Take away the outward details, and the ID would recognize many elements of the situation: the days spent in projects that fail to realize the full potential of their craft, the painful awareness that greater things can be built, but are unlikely to occur due to a poverty of imagination and lack of vision among those empowered to make decisions.

Finally, there is the issue of resources. No stone cutter could ever hope to undertake a large-scale enterprise without a multitude of skilled collaborators and abundant materials. Similarly, instructional designers are often departments of one, working in scarcity environments, with limited ability to acquire resources for ambitious projects and — just as importantly — lacking the authority or political capital needed to launch significant initiatives. For these reasons, instructional design has long been a profession caught in an uncomfortable stasis, unable to grow, evolve and achieve its full potential.

That is until generative AI appeared on the scene. While the discourse around AI in education has been almost entirely about its impact on teaching and assessment, there has been a dearth of critical analysis regarding AI’s potential for impacting instructional design.

We are at a critical juncture for AI-augmented learning. We can either stagnate, missing opportunities to support learners while educators continue to debate whether the use of generative AI tools is a good thing, or we can move forward, building a transformative model for learning akin to the industrial revolution’s impact.

Too many professional educators remain bound by traditional methods. The past two years suggest that leaders of this new learning paradigm will not emerge from conventional educational circles. This vacuum of leadership can be filled, in part, by instructional designers, who are prepared by training and experience to begin building in this new learning space.

 

From DSC:
The above item is simply excellent!!! I love it!



Also relevant/see:

3 new Chrome AI features for even more helpful browsing — from blog.google from Parisa Tabriz
See how Chrome’s new AI features, including Google Lens for desktop and Tab compare, can help you get things done more easily on the web.


On speaking to AI — from oneusefulthing.org by Ethan Mollick
Voice changes a lot of things

So, let’s talk about ChatGPT’s new Advanced Voice mode and the new AI-powered Siri. They are not just different approaches to talking to AI. In many ways, they represent the divide between two philosophies of AI – Copilots versus Agents, small models versus large ones, specialists versus generalists.


Your guide to AI – August 2024 — from nathanbenaich.substack.com by Nathan Benaich and Alex Chalmers


Microsoft says OpenAI is now a competitor in AI and search — from cnbc.com by Jordan Novet

Key Points

  • Microsoft’s annually updated list of competitors now includes OpenAI, a long-term strategic partner.
  • The change comes days after OpenAI announced a prototype of a search engine.
  • Microsoft has reportedly invested $13 billion into OpenAI.


Excerpt from by Graham Clay

1. Flux, an open-source text-to-image creator that is comparable to industry leaders like Midjourney, was released by Black Forest Labs (the “original team” behind Stable Diffusion). It is capable of generating high quality text in images (there are tons of educational use cases). You can play with it on their demo page, on Poe, or by running it on your own computer (tutorial here).

Other items re: Flux:

How to FLUX  — from heatherbcooper.substack.com by Heather Cooper
Where to use FLUX online & full tutorial to create a sleek ad in minutes

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Also from Heather Cooper:

Introducing FLUX: Open-Source text to image model

FLUX… has been EVERYWHERE this week, as I’m sure you have seen. Developed by Black Forest Labs, is an open-source image generation model that’s gaining attention for its ability to rival leading models like Midjourney, DALL·E 3, and SDXL.

What sets FLUX apart is its blend of creative freedom, precision, and accessibility—it’s available across multiple platforms and can be run locally.

Why FLUX Matters
FLUX’s open-source nature makes it accessible to a broad audience, from hobbyists to professionals.

It offers advanced multimodal and parallel diffusion transformer technology, delivering high visual quality, strong prompt adherence, and diverse outputs.

It’s available in 3 models:
FLUX.1 [pro]: A high-performance, commercial image synthesis model.
FLUX.1 [dev]: An open-weight, non-commercial variant of FLUX.1 [pro]
FLUX.1 [schnell]: A faster, distilled version of FLUX.1, operating up to 10x quicker.

Daily Digest: Huge (in)Flux of AI videos. — from bensbites.beehiiv.com
PLUS: Review of ChatGPT’s advanced voice mode.

  1. During the weekend, image models made a comeback. Recently released Flux models can create realistic images with near-perfect text—straight from the model, without much patchwork. To get the party going, people are putting these images into video generation models to create prettytrippyvideos. I can’t identify half of them as AI, and they’ll only get better. See this tutorial on how to create a video ad for your product..

 


7 not only cool but handy use cases of new Claude — from techthatmatters.beehiiv.com by Harsh Makadia

  1. Data visualization
  2. Infographic
  3. Copy the UI of a website
  4. …and more

Achieving Human Level Competitive Robot Table Tennis — from sites.google.com

 

Free Sites for Back to School — from techlearning.com by Diana Restifo
Top free and freemium sites for learning

An internet search for free learning resources will likely return a long list that includes some useful sites amid a sea of not-really-free and not-very-useful sites.

To help teachers more easily find the best free and freemium sites they can use in their classrooms and curricula, I’ve curated a list that describes the top free/freemium sites for learning.

In some cases, Tech & Learning has reviewed the site in detail, and those links are included so readers can find out more about how to make the best use of the online materials. In all cases, the websites below provide valuable educational tools, lessons, and ideas, and are worth exploring further.


Two bonus postings here! 🙂 

 




Kuaishou Unveils Kling: A Text-to-Video Model To Challenge OpenAI’s Sora — from maginative.com by Chris McKay


Generating audio for video — from deepmind.google


LinkedIn leans on AI to do the work of job hunting — from  techcrunch.com by Ingrid Lunden

Learning personalisation. LinkedIn continues to be bullish on its video-based learning platform, and it appears to have found a strong current among users who need to skill up in AI. Cohen said that traffic for AI-related courses — which include modules on technical skills as well as non-technical ones such as basic introductions to generative AI — has increased by 160% over last year.

You can be sure that LinkedIn is pushing its search algorithms to tap into the interest, but it’s also boosting its content with AI in another way.

For Premium subscribers, it is piloting what it describes as “expert advice, powered by AI.” Tapping into expertise from well-known instructors such as Alicia Reece, Anil Gupta, Dr. Gemma Leigh Roberts and Lisa Gates, LinkedIn says its AI-powered coaches will deliver responses personalized to users, as a “starting point.”

These will, in turn, also appear as personalized coaches that a user can tap while watching a LinkedIn Learning course.

Also related to this, see:

Unlocking New Possibilities for the Future of Work with AI — from news.linkedin.com

Personalized learning for everyone: Whether you’re looking to change or not, the skills required in the workplace are expected to change by 68% by 2030. 

Expert advice, powered by AI: We’re beginning to pilot the ability to get personalized practical advice instantly from industry leading business leaders and coaches on LinkedIn Learning, all powered by AI. The responses you’ll receive are trained by experts and represent a blend of insights that are personalized to each learner’s unique needs. While human professional coaches remain invaluable, these tools provide a great starting point.

Personalized coaching, powered by AI, when watching a LinkedIn course: As learners —including all Premium subscribers — watch our new courses, they can now simply ask for summaries of content, clarify certain topics, or get examples and other real-time insights, e.g. “Can you simplify this concept?” or “How does this apply to me?”

 


Roblox’s Road to 4D Generative AI — from corp.roblox.com by Morgan McGuire, Chief Scientist

  • Roblox is building toward 4D generative AI, going beyond single 3D objects to dynamic interactions.
  • Solving the challenge of 4D will require multimodal understanding across appearance, shape, physics, and scripts.
  • Early tools that are foundational for our 4D system are already accelerating creation on the platform.

 

 

Apple Intelligence: every new AI feature coming to the iPhone and Mac — from theverge.com by Wes Davis

Apple announced “Apple Intelligence” at WWDC 2024, its name for a new suite of AI features for the iPhone, Mac, and more. Starting later this year, Apple is rolling out what it says is a more conversational Siri, custom, AI-generated “Genmoji,” and GPT-4o access that lets Siri turn to OpenAI’s chatbot when it can’t handle what you ask it for.

Apple jumps into the AI arms race with OpenAI deal — from washingtonpost.com by Gerrit De Vynck
The iPhone maker has mostly stayed on the sidelines as the tech industry goes wild for AI. Not anymore.

SAN FRANCISCO — Apple officially launched itself into the artificial intelligence arms race, announcing a deal with ChatGPT maker OpenAI to use the company’s technology in its products and showing off a slew of its own new AI features.

The announcements, made at the tech giant’s annual Worldwide Developers Conference on Monday in Cupertino, Calif., are aimed at helping the tech giant keep up with competitors such as Google and Microsoft, which have boasted in recent months that AI makes their phones, laptops and software better than Apple’s. In addition to Apple’s own homegrown AI tech, the company’s phones, computers and iPads will also have ChatGPT built in “later this year,” a huge validation of the importance of the highflying start-up’s tech.

Apple Intelligence: AI for the rest of us. — from apple.com

  • Built into your iPhone, iPad, and Mac to help you write, express yourself, and get things done effortlessly.
  • Draws on your personal context while setting a brand-new standard for privacy in AI.

Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac — from apple.com
Setting a new standard for privacy in AI, Apple Intelligence understands personal context to deliver intelligence that is helpful and relevant

Apple doubles down on artificial intelligence, announcing partnership with OpenAI — from npr.org by Lola Murti and Dara Kerr

The highly anticipated AI partnership is the first of its kind for Apple, which has been regarded by analysts as slower to adopt artificial intelligence than other technology companies such as Microsoft and Google.

The deal allows Apple’s millions of users to access technology from OpenAI, one of the highest-profile artificial intelligence companies of recent years. OpenAI has already established partnerships with a variety of technology and publishing companies, including a multibillion-dollar deal with Microsoft.

 

The real deal here is that Apple is literally putting AI into the hands of >1B people, most of whom will probably be using AI for the 1st time. And it’s delivering AI that’s actually useful (forget those Genmojis, we’re talking about implanting ChatGPT-4o’s brain into Apple devices).

Noah Edelman (source)

Here’s everything Apple announced at the WWDC 2024 keynote, including Apple Intelligence, Siri makeover — from techcrunch.com by Christine Hall

It’s WWDC 2024 keynote time! Each year Apple kicks off its Worldwide Developers Conference with a few hours of just straight announcements, like the long-awaited Apple Intelligence and a makeover for smart AI assistant, Siri. We expected much of them to revolve around the company’s artificial intelligence ambitions (and here), and Apple didn’t disappoint. We also bring you news about Vision Pro and lots of feature refreshes.

Here’s how to watch the archive of WWDC 2024.


Why Gamma is great for presentations — from Jeremy Caplan

Gamma has become one of my favorite new creativity tools. You can use it like Powerpoint or Google Slides, adding text and images to make impactful presentations. It lets you create vertical, square or horizontal slides. You can embed online content to make your deck stand out with videos, data or graphics. You can even use it to make quick websites.

Its best feature, though, is an easy-to-use application of AI. The AI will learn from any document you import, or you can use a text prompt to create a strong deck or site instantly.
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107 Up-to-Date ChatGPT Statistics & User Numbers [April 2024] — from nerdynav.com

Top ChatGPT Statistics

  • ChatGPT has 180.5 million users out of which 100 million users are active weekly.
  • In January 2024, ChatGPT got 2.3 billion website visits and 2 million developers are using its API.
  • The highest percentage of ChatGPT users belong to USA (46.75%), followed by India (5.47%). ChatGPT is banned in 7 countries including Russia and China.
  • OpenAI’s projected revenue from ChatGPT is $2billion in 2024.
  • Running ChatGPT costs OpenAI around $700,000 daily.
  • Sam Altman is seeking $7 trillion for a global AI chip project while Open AI is also listed as a major shareholder in Reddit.
  • ChatGPT offers a free version with GPT-3.5 and a Plus version with GPT-4, which is 40% more accurate and 82% safer costing $20 per month.
  • ChatGPT is being used for automation, education, coding, data-analysis, writing, etc.
  • 43% of college students and 80% of the Fortune 500 companies are using ChatGPT.
  • A 2023 study found 25% of US companies surveyed saved $50K-$70K using ChatGPT, while 11% saved over $100K.
 

The state of AI in early 2024: Gen AI adoption spikes and starts to generate value — from mckinsey.com
As generative AI adoption accelerates, survey respondents report measurable benefits and increased mitigation of the risk of inaccuracy. A small group of high performers lead the way.

If 2023 was the year the world discovered generative AI (gen AI), 2024 is the year organizations truly began using—and deriving business value from—this new technology. In the latest McKinsey Global Survey on AI, 65 percent of respondents report that their organizations are regularly using gen AI, nearly double the percentage from our previous survey just ten months ago. Respondents’ expectations for gen AI’s impact remain as high as they were last year, with three-quarters predicting that gen AI will lead to significant or disruptive change in their industries in the years ahead.

Organizations are already seeing material benefits from gen AI use, reporting both cost decreases and revenue jumps in the business units deploying the technology. The survey also provides insights into the kinds of risks presented by gen AI—most notably, inaccuracy—as well as the emerging practices of top performers to mitigate those challenges and capture value.
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What’s the future of AI? — from mckinsey.com
AI is here to stay. To outcompete in the future, organizations and individuals alike need to get familiar fast. This series of McKinsey Explainers dives deep into the seven technologies that are already shaping the years to come.

We’re in the midst of a revolution. Just as steam power, mechanized engines, and coal supply chains transformed the world in the 18th century, AI technology is currently changing the face of work, our economies, and society as we know it. We don’t know exactly what the future will look like. But we do know that these seven technologies will play a big role.
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Generate an e-book in minutes with groqbook — from heatherbcooper.substack.com by Heather Cooper
Plus new Canva workflow tools, Perplexity Pages, and more
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Introducing a whole new Canva, designed for work

The new Canva
Canva announced “a whole new Canva” to improve workplace collaborative creation and a revamped platform to simplify its tools for anyone to use.

At Canva Create, several AI features were announced that enhance the design and content creation process:

  1. Magic Design: Upload an image and select a style to get a curated selection of personalized templates.
  2. Magic Write: An AI-powered copywriting assistant that can generate written content from a text prompt, useful for presentations and website copy.
  3. Magic Eraser: This feature can remove unwanted objects or backgrounds from images.
  4. Magic Edit: Users can swap an object with something else entirely using generative AI.
  5. Beat Sync: Automatically matches video footage to a soundtrack of your choice.
  6. Translate: Automatically translates text in designs to over 100 different languages.

Tools are the next big thing in AI — from link.wired.com by Will Knight

Things might get more interesting in business settings as AI companies start deploying so-called “AI agents,” which can take action by operating other software on a computer or via the internet.

Anthropic, a competitor to OpenAI, announced a major new product today that attempts to prove the thesis that tool use is needed for AI’s next leap in usefulness.

 


Microsoft’s new ChatGPT competitor… — from The Rundown AI

The Rundown: Microsoft is reportedly developing a massive 500B parameter in-house LLM called MAI-1, aiming to compete with top AI models from OpenAI, Anthropic, and Google.


2024 | The AI Founder Report | Business Impact, Use cases, & Tools — from Hampton; via The Neuron

Hampton runs a private community for high-growth tech founders and CEOs. We asked our community of founders and owners how AI has impacted their business and what tools they use

Here’s a sneak peek of what’s inside:

  • The budgets they set aside for AI research and development
  • The most common (and obscure) tools founders are using
  • Measurable business impacts founders have seen through using AI
  • Where they are purposefully not using AI and much more

2024 Work Trend Index Annual Report from Microsoft and LinkedIn
AI at Work Is Here. Now Comes the Hard Part Employees want AI, leaders are looking for a path forward.

Also relevant, see Microsoft’s web page on this effort:

To help leaders and organizations overcome AI inertia, Microsoft and LinkedIn looked at how AI will reshape work and the labor market broadly, surveying 31,000 people across 31 countries, identifying labor and hiring trends from LinkedIn, and analyzing trillions of Microsoft 365 productivity signals as well as research with Fortune 500 customers. The data points to insights every leader and professional needs to know—and actions they can take—when it comes to AI’s implications for work.

 

Do We Need Emotionally Intelligent AI? — from marcwatkins.substack.com by Marc Watkins

We keep breaking new ground in AI capabilities, and there seems little interest in asking if we should build the next model to be more life-like. You can now go to Hume.AI and have a conversation with an Empathetic Voice Interface. EVI is groundbreaking and extremely unnerving, but it is no more capable of genuine empathy than your toaster oven.

    • You can have the eLLM mimic a political campaign and call potential voters to sway their vote. You can do this ethically or program it to prey upon people with misinformation.
    • An eLLM can be used to socially engineer the public based on the values someone programs into it. Whose values, though?
    • Any company with a digital presence can use an eLLM like EVI to influence their customers. Imagine Alexa suddenly being able to empathize with you as a means to help persuade you to order more products.
    • An always-on, empathetic system can help a student stay on track to graduate or manipulate them into behaviors that erode their autonomy and free will.
    • Any foreign government could deploy such a system against a neighboring population and use empathy as a weapon to sow discontent within the opposing population.

From DSC:
Marc offers some solid thoughts that should make us all pause and reflect on what he’s saying. 

We can endlessly rationalize away the reasons why machines possessing such traits can be helpful, but where is the line that developers and users of such systems refuse to cross in this race to make machines more like us?

Marc Watkins

Along these lines, also see:

  • Student Chatbot Use ‘Could Be Increasing Loneliness’ — from insidehighered.com by Tom Williams
    Study finds students who rely on ChatGPT for academic tasks feel socially supported by artificial intelligence at the expense of their real-life relationships.


    They found “evidence that while AI chatbots designed for information provision may be associated with student performance, when social support, psychological well-being, loneliness and sense of belonging are considered it has a net negative effect on achievement,” according to the paper published in Studies in Higher Education.

Editing your images with DALL·E — from help.openai.com via The Rundown
You can now edit images you create with DALL·E
 

Some very fun art and creativity for you!

Aurélie Hoegy’s Surging Rattan Forms Oscillate Between Interior Design and Sculpture — from thisiscolossal.com by Jackie Andres and  Aurélie Hoegy


10 of Our Fav Illustrators Using True Grit Texture Supply — from booooooom.com


 

AI Is Becoming an Integral Part of the Instructional Design Process — from drphilippahardman.substack.com Dr. Philippa Hardman
What I learned from 150 interviews with instructional designers

1. AI already plays a central part in the instructional design process
A whopping 95.3% of the instructional designers interviewed said they use AI in their day to day work. Those who don’t use AI cite access or permission issues as the primary reason that they haven’t integrated AI into their process.

2. AI is predominantly used at the design and development stages of the instructional design process 
When mapped to the ADDIE process, the breakdown of use cases goes as follows:

  • Analysis: 5.5% of use cases
  • Design: 32.1%
  • Development: 53.2%
  • Implementation: 1.8%
  • Evaluation: 7.3%

Speaking of AI in our learning ecosystems, also see:


Will AI Use in Schools Increase Next Year? 56 Percent of Educators Say Yes — from edweek.org by Alyson Klein

The majority of educators expect use of artificial intelligence tools will increase in their school or district over the next year, according to an EdWeek Research Center survey.

Applying Multimodal AI to L&D — from learningguild.com by Sarah Clark
We’re just starting to see Multimodal AI systems hit the spotlight. Unlike the text-based and image-generation AI tools we’ve seen before, multimodal systems can absorb and generate content in multiple formats – text, image, video, audio, etc.

 

 

My Honest Review of AI Art Tools I Used In 2023 — from theaigirl.substack.com by Diana Dovgopol
Here’s what I think of every AI art tool I used in 2023.

Today, I want to give my honest review of every AI art tool I used and why I love/hate some of them. I’ll highlight the best features they have and how the impact they had on me as an AI artist.

Midjourney v4: The first AI art tool I loved
While Lensa had its moment and offered users the chance to turn their selfies into stylized AI art effortlessly, Midjourney v4 meant a world of new possibilities. You could create anything you wanted with a prompt!


Speaking of art and creativity, here are two other items to check out!

An Italian Basilica, Mountain, and the Moon Magically Align in an Extraordinary Photo — from thisiscolossal.com by Grace Ebert and Valerio Minato

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Video, Images and Sounds – Good Tools #14 — from goodtools.substack.com by Robin Good

Specifically in this issue:

  • Free Image Libraries
  • Image Search Engines
  • Free Illustrations
  • Free Icons
  • Free Stock Video Footage
  • Free Music for Video and Podcasts
 

Using Drawing as a Powerful Learning Tool — from edutopia.org by Selim Tlili
When students draw something they’re learning about, they’re more likely to remember key details.

One of my main goals as a science teacher is to open students up to seeing all of those beautiful and interesting details. I do that by having students draw things and clearly write what they observe. Drawing something requires students to look at their subject far longer than they are accustomed. Writing what they see forces them to consciously acknowledge it. I explain to students that just as every single human is unique, so is every coin, plant, and salt crystal.

 

 

Graphic Design Trends 2024 – The Great Reset — from graphicmama.com by Lyudmil Enchev
2024 will be a year of revolution in graphic design, and we are about to share with you why and how trends in graphic design will totally change 180 degrees.

Ways to use AI in 2023 in your designs:

  • Find inspiration for your designs
  • Give you ideas for concepts and compositions
  • Help you with choosing colors
  • Help you change backgrounds or retouch images
  • Help you with revisions and variations
  • Resize and recompose designs in different dimensions for different platforms
  • Create visuals for websites, marketing, and social media
 

Canva’s new AI tools automate boring, labor-intensive design tasks — from theverge.com by Jess Weatherbed
Magic Studio features like Magic Switch automatically convert your designs into blogs, social media posts, emails, and more to save time on manually editing documents.


Canva launches Magic Studio, partners with Runway ML for video — from bensbites.beehiiv.com by Ben Tossell

Here are the highlights of launched features under the new Magic Studio:

  • Magic Design – Turn ideas into designs instantly with AI-generated templates.
  • Magic Switch – Transform content into different formats and languages with one click.
  • Magic Grab – Make images editable like Canva templates for easy editing.
  • Magic Expand – Use AI to expand images beyond the original frame.
  • Magic Morph – Transform text and shapes with creative effects and prompts.
  • Magic Edit – Make complex image edits using simple text prompts.
  • Magic Media – Generate professional photos, videos and artworks from text prompts.
  • Magic Animate – Add animated transitions and motion to designs instantly.
  • Magic Write – Generate draft text and summaries powered by AI.



Adobe Firefly

Meet Adobe Firefly -- Adobe is going hard with the use of AI. This is a key product along those lines.


Addendums on 10/11/23:


Adobe Releases New AI Models Aimed at Improved Graphic Design — from bloomberg.com
New version of Firefly is bigger than initial tool, Adobe says Illustrator, Express programs each get own generative tools


 
© 2025 | Daniel Christian