As I read online, I bookmark resources I find interesting and useful. I share these links about once a month here on my blog. This post includes links related to AI art styles, AI image tools, feedback and behavior change, working with AI, and tips for getting a job in L&D.
I generated the four images of an orange and yellow tulip on a blue background in Midjourney with different styles:
Digital illustrationOrigami, intricate paper foldsClay sculpture, soft clay, handmadeStencil on rough concrete wall
AI images
AI art styles
70+ AI art styles to use in your AI prompts
A large collection of AI art styles and examples to help you prompt better AI images.
Exploring AI Art Styles: A Comprehensive List with Examples
Examples of a wide range of AI art styles so you can get inspiration and learn how to describe what you want in prompts.
AI image tools
Reve: Reimagine Reality
AI tool for creating and editing images. You can combine elements from multiple images, including adding a character to a scene. There’s a free plan with limitations which should be enough to test it.
AI Vector: Convert PNG to SVG Online Instantly
AI Vector is a free tool to convert PNG images to SVG format quickly.
Is it AI or not?
Reality Check – AI Photo Detection Game
Think you’re good at identifying AI images? Try this weekly quiz to test your accuracy. In the week 1 quiz, I correctly identified 75% of the images.
Home | AI or Not
Free AI image detection tool (with more info for paid plans). It was accurate for the images I uploaded to test. I would be cautious of using this to detect AI text though; all of these tools have a lot of false positives and false negatives. You can use it, but don’t assume it’s perfect.
Feedback and behavior change
The Missing Feedback Problem: When Intellectual Knowledge Just. Isn’t. Enough.
Julie Dirksen shares examples of the disconnect between what we know we should do and what are physical reality tells us. Delayed or absent feedback makes behavior change hard. Making progress, consequences, or feedback more visible and vivid can help.
That’s interesting, because I’ve seen a consistent thread in most behavior change challenges: delayed or absent feedback. What it comes down to is that your intellectual knowledge is telling you one thing, but your physical environment is telling you something else. This has important implications for learning design. If we can’t just rely on intellectual knowledge, we need to give people the feeling of consequences or outcomes. That influences design choices—how visceral the experience is, how vivid the consequences are, and what kind of feedback people get.
—Julie Dirksen
Working with AI
On Working with Wizards – by Ethan Mollick
Ethan Mollick writes about the shift from using AI as co-intelligence to how AI is becoming a “wizard” that can do complex work as if by magic. This raises some important points about the challenges of working with AI, especially agentic AI where we have no transparency on the process. Even if we plan to have a human verify the AI’s work, that verification is challenging. Do you have the right people with the right skills to verify it?
You don’t know how the AI made the choices it made, nor can you confirm that everything is completely correct. We’re shifting from being collaborators who shape the process to being supplicants who receive the output. It is a transition from working with a co-intelligence to working with a wizard.
So what do we do with our wizards? I think we need to develop a new literacy: First, learn when to summon the wizard versus when to work with AI as a co-intelligence or to not use AI at all.
Second, we need to become connoisseurs of output rather than process. We need to curate and select among the outputs the AI provides, but more than that, we need to work with AI enough to develop instincts for when it succeeds and when it fails. We have to learn to judge what’s right, what’s off, and what’s worth the risk of not knowing. This creates a hard problem for education: How do you train someone to verify work in fields they haven’t mastered, when the AI itself prevents them from developing mastery? Figuring out how to address this gap is increasingly urgent.
The paradox of working with AI wizards is that competence and opacity rise together. We need these tools most for the tasks where we’re least able to verify them.
Tips for getting a job in L&D
For those who have gotten hired in the last year, can you share how you got the job?
Kim Scott asked about how people are actually getting hired in the current job market. Some of the responses are exactly what you’d expect (networking, portfolios, LinkedIn profiles), but there were some other tips such as making sure to apply early to jobs soon after they’re posted .
Additional curated resources
Check out my complete library of links or my previous bookmarks posts.
