Videos Btk8wDUVs74
From Systems of Record to Systems of Context — Omri Bruchim & Tomer Ast, monday.com
Scene timeline
41 shot(s).
keyframes kept every frame deduplicated
What was stored
- cues
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- keyframes
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- kept of 41 captured
- frames with text
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- 691 lines read
- chapters
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- keyframe bytes
- 5.0 MB
- word timings on 196 cues
Provenance
| stage | state | model | started | took |
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done | — | 2026-08-11 00:24 | 1m 07s |
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done | — | 2026-08-11 00:25 | 1m 42s |
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done | — | 2026-08-11 00:27 | 15s |
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done | — | 2026-08-11 00:27 | 6s |
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Transcript
196 cues· 2,367 words· 12,829 chars
- 0:14 Hey, everyone.
- 0:16 We are super excited to be here.
- 0:17 Thanks for having us.
- 0:19 Today, we're going to talk about how we shift Monday.com from a system of record into a system of context.
- 0:27 And honestly, the title tells the whole story in just a single line.
- 0:32 For decades, we built software that records what happened,
- 0:37 Every task, every document, every message, every status update just put into the record.
- 0:45 What we want to talk today is take it a step further.
- 0:48 We want software that actually understands the connection between them.
- 0:55 I want to start from a simple question that each one of us ask himself every morning.
- 1:00 What should I focus on right now?
- 1:03 It sounds almost trivial, but to be honest with yourself, if you ask your agent, whether it's Gemini, GPT, or even Cloud, if you ever typed this question, you probably got a list of bullets not related to each other, a list of items dressed up like a confident paragraph.
- 1:25 But it's not really connected to what you're working on.
- 1:30 Actually, I tested last week, and Claude asked me to go to the gym.
- 1:34 I don't know if it's a compliment or not, but this is what he suggested.
- 1:41 And what really make it so frustrating is like your AI assistant have all this data.
- 1:47 It has all the boards, the tasks, the emails, the Slack messages, everything that you ever touched if you connect it.
- 1:54 But it still can't really answer it.
- 1:58 It has all the data, but it has zero understanding.
- 2:04 So this is the real challenge we are facing.
- 2:07 This is the heart of the entire talk.
- 2:09 The problem was never the missing of data, the retrieval.
- 2:12 The problem is like the missing understanding.
- 2:15 Those are two totally different things and almost everyone mixed between them.
- 2:21 Understanding is the word that we're gonna focus the entire talk.
- 2:25 Not context, not memory, not retrieval, understanding.
- 2:30 So quick about our results.
- 2:32 My name is Tomer.
- 2:33 My name is Omri.
- 2:34 This is Tomer.
- 2:35 We're both engineering manager at Monday.com, working on exactly the problem that we're going to talk about.
- 2:43 A little bit context about where we're coming from.
- 2:46 Monday.com is a global software company.
- 2:49 We build a AI work platform used by hundreds of thousands of teams.
- 2:54 And the part that really matters for the talk is that Monday is where the work lives.
- 3:00 We help companies to doing the work, not just like saving records.
- 3:04 Every project, every task, every decision, every meeting, the nodes, the action item, everything logs into the system.
- 3:12 And our mission has always been to help the teams to achieve their business outcome.
- 3:18 Whether you are a salesperson, so we want to help you create an agent that's called to your prospect and help you sell the product.
- 3:26 And if you are a finance team or marketing, we want to help you with the research.
- 3:32 So each one of the disciplines, we want to help you to doing the job.
- 3:37 And together we have four big bets on the AI Work Platform.
- 3:40 We have Monday Sidekick, we're gonna talk about it mostly today.
- 3:44 Monday Vibe, if you want to build your own software.
- 3:47 Monday Agent, if you want to create your own agent into the platform.
- 3:50 And if you want some more deterministic flow, we have Monday Workflows.
- 3:55 But today we're gonna focus on Sidekick.
- 3:57 Sidekick is your intelligent AI personal assistant that understands your work, think and execute
- 4:04 with you, like a bird on your shoulder.
- 4:06 He knows you, he knows your business.
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Chapters
- 0:00 From system of record to system of context
- 0:56 The gym answer: data without understanding
- 2:36 monday.com, Sidekick, and where work lives
- 4:31 Three reasons context is hard
- 7:19 The Monday world model
- 8:15 The data model and its two engines
- 10:21 Why the split mirrors the brain and lambda architecture
- 11:14 How it comes together, and the honest limits
- 13:22 Answering the question with Sidekick