Videos s67bE2Ur3bY

Wearing the Agent: From Group Chats to Glasses — Sai Krishna Rallabandi

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AI Engineer· published 2026-07-29· 0:19:08· en-US· indexed 2026-08-10 19:42

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46 shot(s).

keyframes kept every frame deduplicated

What was stored

cues: 155; whisperx 155
chunks: 32; from 155 cues
keyframes: 28; kept of 46 captured
frames with text: 28; 667 lines read
chapters: 12; from the source metadata
keyframe bytes: 5.7 MB; word timings on 155 cues

Provenance

Each pipeline stage, its state and the model that produced it
stage	state	model	started	took
`fetch`	done	—	2026-08-09 23:34	0s
`stt`	done	—	2026-08-09 14:39	22s
`chunk`	done	—	2026-08-09 14:40	0s
`text_embed`	done	—	2026-08-10 19:42	1s
`keyframe`	done	—	2026-08-09 14:40	4m 35s
`ocr`	done	—	2026-08-09 14:44	17s
`frame_embed`	done	—	2026-08-10 19:42	4s

Frames, and what the machine read

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Transcript

155 cues· 2,958 words· 16,320 chars

chunk 0 · 0:13–0:54 · 115 words · 633 chars
0:13 Okay, good afternoon, everyone.
0:16 I'm Sai Krishna, and firstly, I would like to thank all of you for attending the talk.
0:20 This is the final session of the final day, so I realize thanks a lot for attending the talk.
0:27 So let's get started.
0:29 This conference has really been about agentic systems, right?
0:33 Every workshop that we attend, the keynotes, the speaker sessions, the conversations that we have been having in the hallways, all of us have been discussing agents in one form or the other.
chunk 1 · 0:45–1:26 · 124 words · 645 chars
0:45 And I would like to declare that we have won.
0:48 We have built the agentic systems.
0:49 We can build them.
0:51 For a very basic reference, what is an agent?
0:55 An agent is nothing but a combination of systems model, which is the brain of the agent.
1:01 We have harnessed some form of orchestration around it and a set of tools that lets the agent do something.
1:07 Now, this is pretty simplistic.
1:09 We can build an agent in an afternoon.
1:11 It will start doing useful things by the evening.
chunk 2 · 1:15–1:58 · 121 words · 654 chars
1:15 And yes, there are a lot of issues today in terms of the traces, et cetera.
1:20 But we can build systems today.
1:22 And I would like to project forward, trying to see what comes after this.
1:27 And let me start by a basic observation, which is that almost every agent we build today has the customer of size one.
1:37 Claus, Nemo Claus, different flavors of them, all of them cater to one person.
1:42 Even the programming assistants that we build, even when they are deployed in an enterprise setting, they are typically geared towards one customer.
chunk 3 · 1:51–2:24 · 109 words · 552 chars
1:51 So this is great.
1:53 We know the problems and challenges with this setup.
1:55 We know the shape of the things that we want to build.
1:58 But probably the next agent we are going to build is not going to have one single customer.
2:04 It's probably going to be serving a group.
2:08 On top of that, it's probably going to be in wearables such as glasses, and it's going to be on all day.
2:14 So one of my advisors used to say, you know, you work hard as an engineer to solve a problem, and then the moment you solve it, you realize that the question itself has slightly changed.
chunk 4 · 2:25–3:05 · 105 words · 602 chars
2:25 Maybe we are heading towards a setting like that where all of our engineering, we have built it for agentic systems targeting one customer, whereas we might be entering an era where we are deploying these agents in group settings.
2:38 And group settings pose uniquely different challenges compared to settings where we have single users.
2:45 So I have been working inspired by this
2:50 with an agent called Judith, which is deployed in a group setting among friends and family for a period of eight months.
chunk 5 · 2:58–3:39 · 124 words · 632 chars
2:58 Let me illustrate what I mean in the talk by taking a few examples taken from the production system itself.
3:06 On the left, we see one example from this week where it's deployed in a group of attendees of this conference, and I was asking it, okay, how do we go to the conference venue?
3:17 And the agent chose to not answer in the group but DM me because of the privacy issue.
3:23 Similarly, this is a conversation from a couple of weeks ago where my wife and I were trying to organize an event.
chunk 6 · 3:29–4:10 · 110 words · 584 chars
3:29 And it's tried to sync up all the calendars and make sure we get a slot which is available for everyone.
3:37 Then there is a proactive aspect as well.
3:39 All of us, I think after the release of Coding Agents, we are operating on pretty light sleep.
3:46 And the fact that the agent understands we are under less sleep and we have trouble decision making, that's not impressive.
3:56 The impressive part when Glasses agent spoke to me this, was I was driving, it chose to not announce this
chunk 7 · 4:04–4:43 · 122 words · 683 chars
4:04 from the media of the car, but it chose to speak it directly to me in the glasses, preserving the privacy again.
4:11 And then a group setting has conversations that are lasting over a period of time.
4:16 So this is an example where a bunch of friends have been discussing a particular topic that is constantly evolving, and the agent was
4:25 intelligent enough to curate the content and the memory, which is relevant, and filter out the things that are not needed.
4:32 And finally, a simple application from an agent that my daughter uses, who is three-year-old, who is using the agent to learn a lot of things like capitals of the countries, different numbers, et cetera, keeping us posted as well.
chunk 8 · 4:44–5:29 · 122 words · 657 chars
4:44 as to the progress of the kid and making sure that she doesn't forget the things that she learned and we also are aware of the things that she's learning.
4:51 So all of these are examples where agents in a group setting have slightly different dimensions when they are deployed.
4:59 And
5:01 The aspect of group deployment is also not unique.

Chapters

0:00 Introduction: agents for groups, not one user
1:28 Why single user agents fall short
2:45 Eight months in a real group chat
3:47 What changes when the agent joins a group
5:17 Two problems: guarding and memory
5:55 Securing an agentic system
7:44 When two safe skills collide
9:27 Designing a guard agent
10:21 A small model with per user adapters
11:49 Catching prompt injection
12:29 Designing memory for groups
15:29 Context growth and token cost