Customers Don’t Want Another Chatbot" - How A2UI Is Revolutionizing AI Interfaces

“And then we figured out that the customers didn’t want another chatbot. They neither tend to love reading nor writing that much” - paraphrasing Jakob Panten at the AWS Summit in Stockholm back in 2024.

𝗛𝗲 𝗮𝗻𝗱 𝗵𝗶𝘀 𝘁𝗲𝗮𝗺 𝗽𝗶𝘃𝗼𝘁𝗲𝗱 𝘁𝗼 𝗮 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗰𝗼𝗺𝗽𝗮𝗿𝗶𝘀𝗼𝗻 𝘁𝗮𝗯𝗹𝗲. This eliminated the need for users to craft long prompts while building concise, purpose-specific answers in the form of product comparison tables.

🌅 The Dawn of the Renaissance Developer

It’s that time of the year. AWS Community gets ready for the event of the year: re:Invent. And Werner publishes his tech predictions [1]. Like every year, a densely packed piece with loads of gems in it. This year Werner came up with 5 major themes, if I didn’t miscount. I covered the first one in my initial post [2].

The second one is about:

𝗪𝗵𝗮𝘁 𝗵𝗮𝗽𝗽𝗲𝗻𝗲𝗱 𝘁𝗵𝗶𝘀 𝘆𝗲𝗮𝗿 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝘁𝗵𝗶𝗻𝗴𝘆 𝗮𝘁 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰? 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗰𝗼𝗺𝗶𝗻𝗴 𝗻𝗲𝘅𝘁?

The week(s) after re:invent are typically the time, where a pile of very good content videos pile up at my end and I have both a hard and fun time to get through this.

Today the “𝗔𝗪𝗦 𝗿𝗲:𝗜𝗻𝘃𝗲𝗻𝘁 𝟮𝟬𝟮𝟱 - 𝗪𝗵𝗮𝘁 𝗔𝗻𝘁𝗵𝗿𝗼𝗽𝗶𝗰 𝗟𝗲𝗮𝗿𝗻𝗲𝗱 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱 (𝗔𝗜𝗠𝟮𝟳𝟳” ended up on the top of the pile and turned the time on the rowing machine in the gym to a fun learning experience. After all it’s a level 200 session - should be able to follow it during a casual workout, right?

What happens in Las Vegas … Nah - let’s have a look. All things (Gen) AI. Re:Invent 2025 edition

From the original 2024 article:

“I turned out to be a very challenging but good learning experience. Although is it pretty hard to follow all those updates - even just on one single topic like GenAI. For me it turned out to be useful way of absorbing the information, I hope you as a ready get some benefit from this as well.

What happens in Las Vegas … Nah - let’s have a look. All things (Gen) AI.

The morning after re:invent day1 having a morning coffee over the lastest announcements. The unofficial AWS News Feed lists 49 - forty nine - announcements [1]. Quite some stuff, but I’m only shortly glimpsing over them. Promise?! Last year I wrote an article here [2], in which I was focussing on the AI enhancements over the re:invent 2024 days. Helped me at the time to get a better overview, not sure if I will do this again for this year. Views: Helpful?

🤔 “𝗪𝗿𝗶𝘁𝗲 𝗙𝗶𝗿𝘀𝘁 𝗼𝗿 𝗕𝘂𝗶𝗹𝗱 𝗙𝗶𝗿𝘀𝘁? 𝗪𝗵𝘆 𝗔𝗜 𝗶𝘀 𝗥𝗲𝘄𝗿𝗶𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝗥𝘂𝗹𝗲𝘀 𝗼𝗳 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁

This week I had the pleasure of listening to a presentation by Brent Smith, who highlighted the value of prototyping and empowering builders in the age of AI.

🔧 Why Prototyping Matters

Prototyping isn’t new—it’s a smart investment in any product development process. It enables early detection of design flaws, improves usability through real user feedback, and reduces costly mistakes before full-scale production. Prototyping aligns designs with manufacturing constraints, accelerates time to market, and builds stakeholder confidence by turning ideas into tangible, testable solutions.

Another super interesting conversation with Ilya Sutskever at the Dwarkesh Podcast[1]which made me fall short on my exercises in the gym last night as brain detached from body to process the input. Still on it.

One interesting aspect is Ilya talking about how essentially from his perspective it’s again time for research as “just” scaling the current set of technologies likely will generate a large amount of revenue with a considerable amount of cost, but research is required to get to the next level of AI.

𝗡𝗼 𝗹𝗼𝗻𝗲𝗹𝘆 𝗵𝘂𝗺𝗮𝗻𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲 𝗮𝗻𝘆𝗺𝗼𝗿𝗲?! 🤖 - 𝗪𝗲 𝗮𝗹𝗹 𝗴𝗲𝘁 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 𝗯𝘆 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁𝘀

🎯 It’s this time of the year. The AWS Community gets ready for the event of the year: re:Invent. And Werner Vogels publishes his tech predictions [1]. Like every year, a densely packed piece with loads of gems in it. Looking forward to his keynote on Thursday. This year Werner came up with 5 major themes, if I didn’t miscount. The first one is about:

🎙️ In a fantastic interview “How AI will change software engineering – with Martin Fowler” at the Pragmatic Engineer Podcast [1], Martin Fowler highlights the non-determinism introduced by Agentic AI as the big challenge for adoption. So big of a challenge that he compares it to the evolution from assembler code to higher-level programming languages.

🤔 Indeed, I see a lot of customers struggling with this non-determinism. What is correct? How do I evaluate a system? What about cascading effects in multi-agent systems?