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Beyond Components: Designing Generative UI for MCP Apps — Ruben Casas, Postman

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AI Engineer· published 2026-06-03· 0:16:58· en-US· indexed 2026-08-10 19:45

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67 shot(s).

keyframes kept every frame deduplicated

What was stored

cues: 170; whisperx 170
chunks: 29; from 170 cues
keyframes: 48; kept of 67 captured
frames with text: 48; 816 lines read
chapters: 13; from the source metadata
keyframe bytes: 6.4 MB; word timings on 170 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage	state	model	started	took
`fetch`	done	—	2026-08-10 01:01	1m 43s
`stt`	done	—	2026-08-10 01:03	17s
`chunk`	done	—	2026-08-10 01:03	0s
`text_embed`	done	—	2026-08-10 19:44	0s
`keyframe`	done	—	2026-08-10 01:03	1m 35s
`ocr`	done	—	2026-08-10 01:04	17s
`frame_embed`	done	—	2026-08-10 19:44	8s

Frames, and what the machine read

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Transcript

170 cues· 2,486 words· 13,350 chars

chunk 0 · 0:16–0:57 · 114 words · 561 chars
0:16 Hello, everybody.
0:16 So I know I am the person standing between you and your lunch, but this is going to be a very interesting talk that combines the previous two talks into the future.
0:27 And that's what I want to talk about today.
0:29 So back in November 2022, what we used to do was we used to go to Charge EPT and ask Charge EPT to create a component and we would just copy
0:40 paste, you had to ask reply in code blocks, then again, fix it, repeat.
chunk 1 · 0:46–1:29 · 105 words · 560 chars
0:46 And this is what I call the poor man's byte coding.
0:50 And we have come a long way.
0:53 It kind of worked.
0:56 It was very exciting.
0:57 You could get models who could actually build some UI for you.
1:03 And surely, that was not going to write better code than me, right?
1:07 And then things improved very, very rapidly, very, very fast.
1:12 What happened last year, and if you are aware what happened in the last months of 2025, was this acceleration, an incredible inflection point where things changed.
chunk 2 · 1:24–2:03 · 86 words · 464 chars
1:24 And it will go down in the history books as things changed very fast all at once.
1:30 And this is in part because of the release of two very important models, which were 5.2, sorry, it was, yeah, GPT 5.2 and Opus 4.5.
1:42 And they were not just very good at most of the tasks, long horizon tasks.
1:48 They were also very good at high fidelity UI generation.
1:53 And they were producing very good working UI, sometimes thoughtful, sometimes really, really good, and also very fast.
chunk 3 · 2:05–2:47 · 106 words · 540 chars
2:05 Now, I experienced this when I tried one of these models, tried to rewrite my blog.
2:10 I know people have used this in more creative ways, but I just tried a single prompt, rewrite my blog.
2:16 And then he did this, which I didn't ask for.
2:19 He created a nice search box with a blur animation with accessibility out of the box.
2:27 And then that's when I realised that in the space of three years from when ChartGPT was released to today, we went from, you know, a few lines of code is great, it runs, oh, it now can write better front-end code than me.
chunk 4 · 2:49–3:31 · 121 words · 619 chars
2:49 And, you know, I don't mind.
2:51 No ego.
2:54 It's just reality.
2:55 So here's a question.
2:56 If these models are so good at writing UI code, why are we still stuck in this mainly old paradigm of mostly static UI?
3:08 And where is that Jarvis moment that we've been talking about earlier?
3:13 Where are my floating UI windows that appear and disappear?
3:17 And why are we not there yet?
3:19 So my name is Ruben Casas.
chunk 5 · 3:20–4:04 · 132 words · 692 chars
3:20 I am a staff engineer at Postman.
3:22 And I've been looking at UI and generative UI for the past year.
3:26 And I've been working with MCP apps as well.
3:28 And today, I want to show you what we're doing today and where we're going in the future.
3:33 So the news are we have a new computer.
3:37 And as Andrew Capathy put it, interacting with this new computer is like talking to the terminal.
3:43 You have direct access to this operating system.
3:47 And the GUI has not been invented yet.
3:48 It's like we are in the 70s, where everything was just text.
chunk 6 · 3:52–4:34 · 111 words · 611 chars
3:52 And we have a super intelligence, but we don't have a mature interface language.
3:57 And today, we are still trying to figure out what is this new interface for this computer.
4:05 And people ask, is it chat?
4:07 I'll show you what we're doing today.
4:08 And actually, this was a very recent tweet last week, where people were complaining that most SaaS companies have been adding chat to their home pages, and everybody's just putting chat everywhere.
4:21 And that's fine.
chunk 7 · 4:22–5:06 · 124 words · 609 chars
4:22 I don't have a problem with chat.
4:25 It's not the final UI.
4:27 It's OK for now.

Chapters

0:00 Introduction: The evolution from 'poor man's bit coding' to high-fidelity UI generation
2:56 Why are we still stuck with static UI?
3:33 The new computer: Searching for the interface of the future
4:47 The role of MCP apps and 'Super Apps'
5:52 Three levels of UI generation: Static, Declarative, and Generative
6:03 Understanding Static UI components (e.g., AG UI, Goose)
7:42 The benefits of Declarative UI (e.g., JSON/YAML renderers)
10:06 Moving to the next level: Generative UI components
11:25 The challenge of trust: The need for sandboxing and containment
12:22 Why MCP apps are the ideal delivery mechanism for Generative UI
13:21 The 'TV/Radio' analogy: Imagining the future of agent interaction
14:46 Beyond components: Towards true human-agent collaboration
16:16 Conclusion: Shaping the future of user interfaces