We’ve been really thinking about UI (and conversational UI) in the age of agents and meeting the users where they are. For our agent control plane, we have a GUI for our natural language policy studio for security and GRC teams. For developers, we have a TUI that meets them where they are in the terminal so that they can better build and guide their agents that need to adhere to rules set by others. Wrote more about this here:
Finally, an otter watching map built around my needs.
I got to be honest, I've found AI to be deeply impressive, wildly profound, utterly magical, but often rather useless. This idea reads all my emails, scans my calendar, compares with my notion, access my past articles and prepares a prep doc for me, is wildly impressive, but not remotely exciting.
I can do this myself in seconds, I have a memory, I know what's important instinctively , I can't help but think that most people who rate this stuff have never really done a normal job
Perhaps I'm being miserable because you have to triple check everything, perhaps it's because if a briefing document is even slightly wrong, it could scupper a massively important meeting.
This stuff seems to be designed for people that don't do especially important things all day long but are mega busy. Sorry but I'm the opposite, if a meeting's worth so little to me that I'm going to get AI to prepare me for it, I'm going to just cancel the meeting , it's not worth my time being in it.
Yes! I still cannot believe that for someone, having a back-and-forth conversation in a chat about their day in the calendar is better than just opening and looking at it. Looking is like 10 times faster. Why would I want to type?
The changes you describe really do seem like a step change from last year. I’m looking forward to the spiraling effects these newer tools may bring about through self-improvement.
> It is always good to be cautious about papers that make claims based on older AI models, but in this case I doubt there has been much change between the now-obsolete GPT-4o and GPT-5.4 (or whatever), since both still tend to produce walls of text.
…unless you ask for visual interfaces to surface the ideas within those walls of text, something Claude does particularly well. A question underlying this post is why Anthropic seems to have taken the lead in the developments you describe, and whether other labs will catch up in time.
Agreed on the interface bottleneck — but for enterprise, better interfaces may be necessary without being sufficient. The structural limits (context degradation, single-user isolation, linear vs. hierarchical work) don't fully dissolve just because the interface improves. Dispatch is impressive, but it's still one agent talking to one person. Enterprise work is multi-stakeholder, compliance-bound, and requires auditability that no chat-derived interface naturally provides.
Wrote about this in January from the enterprise workflow angle — the conclusion was similar to yours, but the prognosis was more cautious: chat (and its derivatives) may always be better as an entry point than an operating system.
Not Dispatch related, but... One of the things I enjoy of the Cowork interface vs OpenAI chats is something as simple as when we have to select between a few options to continue. Cowork shows you a few cards where you can click on your preferred option (or type in your preference if different). In ChatGPT I have to refer back to the whole list of decisions we need to make and type out " "1-a ; 2-d ; 3-It needs to be more concise"...
This is a fair critique of the chatbot format. This perfectly describes the friction I've been feeling with filtering through a wall of text to find what I need.
I'll be honest, I didn't know about Pomelli or Stitch, but it's interesting to hear them contrasted with the more familiar chatbot format. They make me curious to see if we'll see more tailored AI tools like this from the other big AI companies.
We’ve been really thinking about UI (and conversational UI) in the age of agents and meeting the users where they are. For our agent control plane, we have a GUI for our natural language policy studio for security and GRC teams. For developers, we have a TUI that meets them where they are in the terminal so that they can better build and guide their agents that need to adhere to rules set by others. Wrote more about this here:
https://substack.com/@joshdevon/note/c-235648237
Finally, an otter watching map built around my needs.
I got to be honest, I've found AI to be deeply impressive, wildly profound, utterly magical, but often rather useless. This idea reads all my emails, scans my calendar, compares with my notion, access my past articles and prepares a prep doc for me, is wildly impressive, but not remotely exciting.
I can do this myself in seconds, I have a memory, I know what's important instinctively , I can't help but think that most people who rate this stuff have never really done a normal job
Perhaps I'm being miserable because you have to triple check everything, perhaps it's because if a briefing document is even slightly wrong, it could scupper a massively important meeting.
This stuff seems to be designed for people that don't do especially important things all day long but are mega busy. Sorry but I'm the opposite, if a meeting's worth so little to me that I'm going to get AI to prepare me for it, I'm going to just cancel the meeting , it's not worth my time being in it.
Yes! I still cannot believe that for someone, having a back-and-forth conversation in a chat about their day in the calendar is better than just opening and looking at it. Looking is like 10 times faster. Why would I want to type?
The changes you describe really do seem like a step change from last year. I’m looking forward to the spiraling effects these newer tools may bring about through self-improvement.
> It is always good to be cautious about papers that make claims based on older AI models, but in this case I doubt there has been much change between the now-obsolete GPT-4o and GPT-5.4 (or whatever), since both still tend to produce walls of text.
…unless you ask for visual interfaces to surface the ideas within those walls of text, something Claude does particularly well. A question underlying this post is why Anthropic seems to have taken the lead in the developments you describe, and whether other labs will catch up in time.
Agreed on the interface bottleneck — but for enterprise, better interfaces may be necessary without being sufficient. The structural limits (context degradation, single-user isolation, linear vs. hierarchical work) don't fully dissolve just because the interface improves. Dispatch is impressive, but it's still one agent talking to one person. Enterprise work is multi-stakeholder, compliance-bound, and requires auditability that no chat-derived interface naturally provides.
Wrote about this in January from the enterprise workflow angle — the conclusion was similar to yours, but the prognosis was more cautious: chat (and its derivatives) may always be better as an entry point than an operating system.
https://medium.com/advisor360-com/why-chat-interfaces-cant-fully-replace-enterprise-workflows-a97cc6e3749f
Not Dispatch related, but... One of the things I enjoy of the Cowork interface vs OpenAI chats is something as simple as when we have to select between a few options to continue. Cowork shows you a few cards where you can click on your preferred option (or type in your preference if different). In ChatGPT I have to refer back to the whole list of decisions we need to make and type out " "1-a ; 2-d ; 3-It needs to be more concise"...
I was always wondering why it feels like there's a gap on how I imagine I can use AI and how I use it as a layperson.
I'll be interested to know how AI will be develop to accommodate regular users
This is a fair critique of the chatbot format. This perfectly describes the friction I've been feeling with filtering through a wall of text to find what I need.
I'll be honest, I didn't know about Pomelli or Stitch, but it's interesting to hear them contrasted with the more familiar chatbot format. They make me curious to see if we'll see more tailored AI tools like this from the other big AI companies.