How Superesque teaches leaders to build collaborative AI agents with TypingMind
In conversation with Dr. Tim Rayner, Founder of Superesque
150M+
tokens used per month
6k+
messages sent
10
team members (2 humans, 8 AI agents)
Education & AI Training
Sydney, Australia
2+
TypingMind is one of those products that I couldn't live without. I am a happy customer.
Overview
Superesque takes an education-first approach to AI where they teach non-technical professionals how to build AI agents, not just use them, and embed that practice directly into a structured learning program.
In this conversation, Dr. Tim Rayner, founder of Superesque, shares how TypingMind supports the way they teach, deliver, and run the program day to day.
Tim, thanks so much for taking the time to speak with us. We've been really excited to learn more about Superesque, especially the way you're using AI not just as a tool, but as a core part of how people learn and work.
Can you share a bit about what Superesque does?
Superesque is an advanced AI education program for non-technical professionals. We teach leaders how to build AI agents to amplify their expertise and design AI systems to accelerate productivity and growth.
Unlike other AI training programs, which focus on tools and applications, Superesque teaches AI building for professional development and growth. We believe that mindful AI development is an essential skill for tomorrow's leaders. We help leaders unlock their humanity through AI development to steer their organizations towards a human-centered future.
The company was founded in 2025 by myself, Dr Tim Rayner, with the help of Dawn Mischewski, who is an AI product manager at the Australian ResTech company, Displayr. Using TypingMind, we've built a team of sophisticated AI agents to help us run the company and facilitate the Superesque program. All up, we're a team of ten, but only 2 of us are human.
Superesque team and AI agents
Why TypingMind
The ability to build agents, set up controls, and develop an external RAG knowledge base from one platform gives me everything I need. I use TypingMind every day, and I have yet to come across any other platform that matches it.
You mentioned that AI agents are central not just to how you teach, but to how Superesque actually runs day to day.
Can you tell us why you decided to adopt AI so deeply into your team - and what led you to choose TypingMind specifically?
Why he decided to adopt AI
I launched Superesque after taking a couple of courses through AI BuildLab in early 2025. Most of the work we did in BuildLab was run on Cassidy AI.
But Tyler Fisk recommended TypingMind as a workspace, and as soon as I started using it, I realized this was the space for me. It's super easy to use with a nice, clean UI and a powerful and ever-expanding feature set. The price point is very reasonable, which makes it a no-brainer.
What I do and what I teach at Superesque involves building human-centered AI agents as thinking partners and collaborative teammates. I don't have much need for workflows or extensive integrations (and when I do, I can MCP them through TypingMind), so the ability to build agents, set up controls, and develop an external RAG knowledge base from one platform gives me everything I need. I use TypingMind every day, and I have yet to come across any other platform that matches it.
Why TypingMind?
I looked into TypingMind Teams when I decided to launch Superesque, and it's perfect for my needs. The admin space is simple and intuitive, and offers me lots of control. It's easy to purchase seats and onboard students into cohorts, and to set up learning environments with pre-configured agents and prompts. We've piloted three cohorts this year with students of varying levels of AI capability and we haven't had any issues whatsoever.
TypingMind is one of those products that I couldn't live without. I am a happy customer.
TypingMind Teams dashboard for Superesque
Use Case in the Superesque Program
Thanks to TypingMind, I can make certain agents available to students at appropriate points of the program, give the students instructions, and let them go and play
It's really rewarding to hear that TypingMind is able to support this kind of learning so seamlessly. And hearing you say it's something you genuinely rely on day to day, something you "couldn't live without," really reinforces that we're solving a real need here.
At a practical level, what does TypingMind actually look like inside the Superesque program? And how are students using it?
Program structure
Superesque is a 4-week online education program that involves a lot of human-AI collaboration and independent AI building. We run live sessions each week, but most of the work is done by students working independently with the agents that we host on TypingMind.
Superesque program structure
Agent suite & learning design
I've linked a slide deck that should give you an idea of the agent suite we use in the program. (As you'll see, we like to have fun giving our agents personalities!). What's innovative and unique about Superesque is that students work with certain agents to advance their learning, and then put that learning into practice by working with other agents (namely Supernaut and Supernaut-Evals, our AI prompt engineering team) to build increasingly sophisticated assistants that they train on their own expertise.
Superesque agent suite
How TypingMind enables the student experience
Thanks to TypingMind, I can make certain agents available to students at appropriate points of the program, give the students instructions, and let them go and play. They can build and set-up their own agents in private agent portals. The program runs itself.
TypingMind enables student experience
Why this matters for AI in education
In addition to running Superesque, I teach innovation at UTS Business School in Sydney. I believe that the pedagogical model we're pioneering in Superesque represents the future of online education. The basic model can be applied in all sorts of ways. Once I have established Superesque, I plan to explore other use cases for this educational model. It's simple, engaging and scalable.
Most Valuable Features
The comprehensive set of controls in the agent portal is invaluable for AI builders
What's really interesting here is how TypingMind becomes part of the learning environment itself and not just the place students "use AI," but where they actually experiment, build, and apply what they're learning in real time.
Which TypingMind features do you find most valuable in your work, and how do you use them day to day?
Agent building controls
The comprehensive set of controls in the agent portal is invaluable for AI builders. I appreciate how TypingMind is constantly adding new features, always with an eye to the latest models and technical developments.
Model + plugin setup
To be honest, I like to keep my practice quite simple - I mainly use Anthropic and Gemini models with a few plugins (especially Perplexity) - so I don't have a lot of use for all the features, but it's good to know that they're there. I think in the coming year, I will start exploring them more.
Knowledge base
The knowledge base feature is also essential - hugely valuable. Though I'd like to see more structured development of this. I use Notion for my external RAG, and I find it frustrating how I can't carefully select what contents I sync and also how difficult it is to edit the synced content in TypingMind. Once you've pulled a volume of stuff into the knowledge base, things get quite messy. I believe you're working on this - I'd love to know what you have in the pipeline.
Overall Fit & Evaluation
That makes a lot of sense, Tim, especially the balance between keeping your setup simple while knowing the depth is there when you need it. And it's helpful to hear such concrete feedback on the knowledge base!
Taking a step back from individual features, we're curious about the bigger picture.
Has TypingMind overall been able to meet what you need?
Yes, for all the reasons I've discussed. I'm also exceedingly impressed by the promptness and general helpfulness of the TypingMind support team. If I have any issues, I can email you, and you'll get back to me within 24 hours, usually with a solution. That gives me a lot of confidence in the team and the company.
Metrics & Impact
The metrics that matter for us at the moment are qualitative, namely testimonials and word-of-mouth reviews….Reviews like this would not be possible without the TypingMind Teams platform!
Superesque analytics dashboard
You mentioned that Superesque is still in its early stages, but we're curious - so far, what have you been seeing in terms of impact?
Where things stand today
Superesque is still in the pilot stage so we don't have any mind-blowing metrics to share. The students make healthy use of the platform, as you'll see from the screenshots I shared of our analytics page.
One student in the first cohort managed to chew through 30 million tokens in the space of four weeks, which probably reflects poor token management but also sheer enthusiasm!
What matters most right now
The metrics that matter for us at the moment are qualitative, namely testimonials and word-of-mouth reviews. These are exceedingly positive. I just received the following testimonial from Steve Fox, Principal and Digital Practice Lead at Architectus:
Tim's Supereque AI Agent training program is a rare mix of AI skills, personal growth and real professional development. I really liked how the course was structured – everything built logically, and the supporting resources and materials were genuinely useful rather than just 'extras.' I'd happily recommend it to anyone looking to seriously upskill. Partway through, I hit a real epiphany: I stopped just 'trying AI tools' and started changing my behaviour and approach to how I use AI day-to-day. It's shifted the way I think, work and experiment with this technology.
Reviews like this would not be possible without the TypingMind Teams platform! 😊 Thank you for existing!
Suggestions for Improvement
Before we wrap up, we'd love to hear if there's anything you wish TypingMind could do even better.
Do you have any suggestions for improvement? Is there something you want to do with TypingMind but cannot do yet?
As noted, I'd like to see improvements to the knowledge base. A RAG system is such an important part of AI building. I don't need an on-platform vector database like Cassidy.
But I would appreciate the ability to structure the contents of my knowledge base a bit more and organize things into folders and subfolders. That would be helpful.
Also, for Typingmind teams, it would be great if we could give students a personal knowledge base. Even if it just had minimal storage data, it would mean I could train them on how to build and use a knowledge base, which is super important from an educational point of view.
Recommendation
Often people will start the program questioning why we need to work on TypingMind. By the end, they're saying, 'I'm never going back to ChatGPT.'
To wrap things up, looking at your experience so far, would you recommend TypingMind to others?
Encourage student to purchase TypingMind
I encourage every student in Superesque to purchase a TypingMind license key and I think most of them do. Often people will start the program questioning why we need to work on TypingMind. By the end, they're saying, "I'm never going back to ChatGPT."
Unlike Cassidy and Make and other platforms like that, which are pitched towards enterprise, TypingMind is very user friendly - it feels like a great consumer product waiting to break through.
Why TypingMind adoption may be lagging (for now)
Frankly, I think the only reason why more people are not using the platform is because the kind of practice it makes possible is ahead of the curve in terms of the average person's level of AI maturity. I think this makes TypingMind strongly positioned going forward.
Future trends
OpenAI's recent enterprise adoption report registered a 19x increase in the use of custom GPTs, indicating that people are going beyond being AI prompters and chatbot consumers to being AI builders. I would like to think that in 2026, we will see more people getting on board the AI build train, and I expect they'll see value in TypingMind, which has a huge amount to offer business and enterprise, but is also nicely positioned to scoop up consumer interest, as I've suggested.
Final Thought
What stands out about Superesque is how naturally AI building fits into the learning experience. Learners not only use AI agents, but also build them, evaluate them, and apply them to their own work.
Stay tuned for more stories!
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