← Back
AI Engineer August 10, 2026

LLM Knowledge Bases: a practical guide — Ben Holmes, Warp

Read full transcript 8 segments
  1. All right. Are we ready to go? All right. Are we ready to go? Okay, we're ready to go. Are y'all ready Okay, we're ready to go. Are y'all ready Okay, we're ready to go. Are y'all ready to go? to go? to go? We ready? to go? We ready? All right. Let's do this We ready? All right. Let's do this We ready? All right. Let's do this thing. Uh, all right. Well, hello thing. Uh, all right. Well, hello thing. Uh, all right. Well, hello everyone. I'm thing. Uh, all right. Well, hello everyone. I'm Ben Holmes, developer everyone. I'm Ben Holmes, developer everyone. I'm Ben Holmes, developer relations lead at Warp. Uh, you might relations lead at Warp. Uh, you might relations lead at Warp. Uh, you might have heard of Warp relations lead at Warp. Uh, you might have heard of Warp as a terminal that's have heard of Warp as a terminal that's have heard of Warp as a terminal that's really nice to use for you and your really nice to use for you and your really nice to use for you and your coding agents. You may have also heard coding agents. You may have also heard coding agents. You may have also heard of it as a cloud coding agents. You may have also heard of it as a cloud platform that helps you of it as a cloud platform that helps you of it as a cloud platform that helps you build out software factories. If you build out software factories. If you build out software factories. If you haven't, we have a booth in the build out software factories. If you haven't, we have a booth in the expo. haven't, we have a booth in the expo. haven't, we have a booth in the expo. You can go talk to us about it. Uh, but You can go talk to us about it. Uh, but You can go talk to us about it. Uh, but today I'm actually going to be talking today I'm actually going to be talking today I'm actually going to be talking about something called today I'm actually going to be talking about something called LLM knowledge about something called LLM knowledge about something called LLM knowledge bases. Uh, maybe a show of hands. How bases. Uh, maybe a show of hands. How bases. Uh, maybe a show of hands. How many people have bases. Uh, maybe a show of hands. How many people have an Apple Notes folder many people have an Apple Notes folder many people have an Apple Notes folder that's a complete disorganized mess that that's a complete disorganized mess that that's a complete disorganized mess that you don't know what to that's a complete disorganized mess that you don't know what to do with? Okay, a you don't know what to do with? Okay, a you don't know what to do with? Okay, a lot of people. Uh, and how many of y'all lot of people. Uh, and how many of y'all lot of people. Uh, and how many of y'all have used Obsidian before? lot of people. Uh, and how many of y'all have used Obsidian before? Maybe. And have used Obsidian before? Maybe. And have used Obsidian before? Maybe. And how many of you use it now regularly? how many of you use it now regularly? how many of you use it now regularly? It's a little less how many of you use it now regularly? It's a little less people. That's all It's a little less people. That's all It's a little less people. That's all right. Uh, I'm actually not going to be right. Uh, I'm actually not going to be right. Uh, I'm actually not going to be showing youall too much on there, but if showing youall too much on there, but if showing youall too much on there, but if you're an Obsidian head, this talk is you're an Obsidian head, this talk is you're an Obsidian head, this talk is definitely going to be for you. Uh, so definitely going to be for you. Uh, so definitely going to be for you. Uh, so we're going to be talking about definitely going to be for you. Uh, so we're going to be talking about the ways we're going to be talking about the ways we're going to be talking about the ways that you can organize all of your sort that you can organize all of your sort that you can organize all of your sort of raw thoughts and notes that you're of raw thoughts and notes that you're of raw thoughts and notes that you're taking both of raw thoughts and notes that you're taking both between you and your LLMs taking both between you and your LLMs taking both between you and your LLMs into something that you can actually into something that you can actually into something that you can actually navigate and make sense of and into something that you can actually navigate and make sense of and even navigate and make sense of and even navigate and make sense of and even remember and discover ideas you might remember and discover ideas you might remember and discover ideas you might have forgotten about. Um, so our goal is have forgotten about. Um, so our goal is have forgotten about. Um, so our goal is to go from to go from to go from head over to this guy, uh, jumbled mess head over to this guy, uh, jumbled mess head over to this guy, uh, jumbled mess of scattered head over to this guy, uh, jumbled mess of scattered thoughts like this all the of scattered thoughts like this all the of scattered thoughts like this all the way to something that's nice, organized, way to something that's nice, organized, way to something that's nice, organized, and viewable like this. But I'm getting and viewable like this. But I'm getting and viewable like this. But I'm getting ahead of myself. Uh, our goal and viewable like this. But I'm getting ahead of myself. Uh, our goal is to ahead of myself. Uh, our goal is to ahead of myself. Uh, our goal is to initially start with just a raw folder

  2. initially start with just a raw folder initially start with just a raw folder of all of your thoughts. We're going to of all of your thoughts. We're going to of all of your thoughts. We're going to be tracking of all of your thoughts. We're going to be tracking our notes as markdown for be tracking our notes as markdown for be tracking our notes as markdown for this example. And I'll be showing you this example. And I'll be showing you this example. And I'll be showing you the app that I this example. And I'll be showing you the app that I actually built myself the app that I actually built myself the app that I actually built myself called Hubble that'll let you navigate called Hubble that'll let you navigate called Hubble that'll let you navigate and write notes easily inside of called Hubble that'll let you navigate and write notes easily inside of there. and write notes easily inside of there. and write notes easily inside of there. Uh, but you can use any Markdown viewer, Uh, but you can use any Markdown viewer, Uh, but you can use any Markdown viewer, Warp, Obsidian, whatever you like. Uh, but you can use any Markdown viewer, Warp, Obsidian, whatever you like. Uh Warp, Obsidian, whatever you like. Uh Warp, Obsidian, whatever you like. Uh then we'll talk about how you might turn then we'll talk about how you might turn then we'll talk about how you might turn that raw set of thoughts into something that raw set of thoughts into something that raw set of thoughts into something that's a bit more that raw set of thoughts into something that's a bit more organized and that's a bit more organized and that's a bit more organized and interconnected. So enriching notes to interconnected. So enriching notes to interconnected. So enriching notes to connect related backlinks and interconnected. So enriching notes to connect related backlinks and tagging connect related backlinks and tagging connect related backlinks and tagging things based on categories so that you things based on categories so that you things based on categories so that you can find them or so agents can find can find them or so agents can find can find them or so agents can find them. Then we'll go a can find them or so agents can find them. Then we'll go a little bit further them. Then we'll go a little bit further them. Then we'll go a little bit further into wikis actually generating uh into wikis actually generating uh into wikis actually generating uh something that you can click around something that you can click around something that you can click around around something that you can click around around areas of research that you have around areas of research that you have around areas of research that you have personal interest etc. uh that around areas of research that you have personal interest etc. uh that qualify personal interest etc. uh that qualify personal interest etc. uh that qualify the people concepts and sources that all the people concepts and sources that all the people concepts and sources that all of your notes contain. Then finally, of your notes contain. Then finally, of your notes contain. Then finally, we'll of your notes contain. Then finally, we'll talk a bit about visualizations we'll talk a bit about visualizations we'll talk a bit about visualizations like that fancy graph view I was showing like that fancy graph view I was showing like that fancy graph view I was showing you. It's very easy to do these days now you. It's very easy to do these days now you. It's very easy to do these days now that you. It's very easy to do these days now that agents can access your machine and that agents can access your machine and that agents can access your machine and use HTML. Um, so the first thing I use HTML. Um, so the first thing I use HTML. Um, so the first thing I wanted to talk use HTML. Um, so the first thing I wanted to talk about is how you get raw wanted to talk about is how you get raw wanted to talk about is how you get raw thoughts down actually. Uh, because it thoughts down actually. Uh, because it thoughts down actually. Uh, because it is pretty thoughts down actually. Uh, because it is pretty easy now to whip out Apple is pretty easy now to whip out Apple is pretty easy now to whip out Apple Notes and write something. Uh, but I Notes and write something. Uh, but I Notes and write something. Uh, but I would argue it Notes and write something. Uh, but I would argue it should be even easier uh would argue it should be even easier uh would argue it should be even easier uh to get everything down. So, something to get everything down. So, something to get everything down. So, something that I'm going to show you here, to get everything down. So, something that I'm going to show you here, uh, that I'm going to show you here, uh, that I'm going to show you here, uh, maybe another show of hands. How many maybe another show of hands. How many maybe another show of hands. How many people use Whisper Flow or something people use Whisper Flow or something people use Whisper Flow or something like that? Okay, people use Whisper Flow or something like that? Okay, that's not enough like that? Okay, that's not enough like that? Okay, that's not enough hands. It's honestly not enough hands.

  3. hands. It's honestly not enough hands. hands. It's honestly not enough hands. Uh, because you may not be aware, but Uh, because you may not be aware, but Uh, because you may not be aware, but voice dictation, even though it is voice dictation, even though it is voice dictation, even though it is pretty awkward to talk into your pretty awkward to talk into your pretty awkward to talk into your computer with a bunch of co-workers computer with a bunch of co-workers computer with a bunch of co-workers around, it is the fastest way to get around, it is the fastest way to get around, it is the fastest way to get your thoughts onto paper. It's going to your thoughts onto paper. It's going to your thoughts onto paper. It's going to be like your thoughts onto paper. It's going to be like 200 words per minute, I believe, be like 200 words per minute, I believe, be like 200 words per minute, I believe, is the average. Unless you're an is the average. Unless you're an is the average. Unless you're an absolute Olympic typist, it is the average. Unless you're an absolute Olympic typist, it will be absolute Olympic typist, it will be absolute Olympic typist, it will be faster than any other method that you faster than any other method that you faster than any other method that you have. So, I suggest getting some sort of have. So, I suggest getting some sort of have. So, I suggest getting some sort of voice input tool have. So, I suggest getting some sort of voice input tool uh just to get down voice input tool uh just to get down voice input tool uh just to get down context. There are a number of these. context. There are a number of these. context. There are a number of these. And by the way, for context. There are a number of these. And by the way, for the people who And by the way, for the people who And by the way, for the people who aren't paying for Whisper Flow aren't paying for Whisper Flow aren't paying for Whisper Flow subscriptions, you're in luck. You don't subscriptions, you're in luck. You don't subscriptions, you're in luck. You don't have to pay anymore for this subscriptions, you're in luck. You don't have to pay anymore for this kind of have to pay anymore for this kind of have to pay anymore for this kind of stuff. There are local models that can stuff. There are local models that can stuff. There are local models that can do this. So, a bit of a side tangent on do this. So, a bit of a side tangent on do this. So, a bit of a side tangent on tool chains do this. So, a bit of a side tangent on tool chains that you should probably tool chains that you should probably tool chains that you should probably check out. Uh I love highlighting this check out. Uh I love highlighting this check out. Uh I love highlighting this one. It's called Handy. Uh it's an open- one. It's called Handy. Uh it's an open- one. It's called Handy. Uh it's an open- source one. It's called Handy. Uh it's an open- source tool for voice dictation that source tool for voice dictation that source tool for voice dictation that just uses a local model, stays on just uses a local model, stays on just uses a local model, stays on device, very easy to use. just uses a local model, stays on device, very easy to use. Uh there's device, very easy to use. Uh there's device, very easy to use. Uh there's another one called Voice Inc. which is another one called Voice Inc. which is another one called Voice Inc. which is very similar. Uh this one I believe another one called Voice Inc. which is very similar. Uh this one I believe is very similar. Uh this one I believe is very similar. Uh this one I believe is like a $20 lifetime fee just to get like a $20 lifetime fee just to get like a $20 lifetime fee just to get updates in the app. Might as well do it updates in the app. Might as well do it updates in the app. Might as well do it just to support updates in the app. Might as well do it just to support the developer. That's just to support the developer. That's just to support the developer. That's the one that I use. And it gives you a the one that I use. And it gives you a the one that I use. And it gives you a hot key uh as well as a mobile app.

  4. the one that I use. And it gives you a hot key uh as well as a mobile app. So hot key uh as well as a mobile app. So hot key uh as well as a mobile app. So if you wanted to get something down, you if you wanted to get something down, you if you wanted to get something down, you can just hold either the option key or can just hold either the option key or can just hold either the option key or the function key on your can just hold either the option key or the function key on your computer and the function key on your computer and the function key on your computer and it'll start writing down everything that it'll start writing down everything that it'll start writing down everything that you're saying and it will turn it into it'll start writing down everything that you're saying and it will turn it into a you're saying and it will turn it into a you're saying and it will turn it into a formatted um set of sentences, formatted um set of sentences, formatted um set of sentences, paragraphs, etc. on the other side. formatted um set of sentences, paragraphs, etc. on the other side. Cut paragraphs, etc. on the other side. Cut paragraphs, etc. on the other side. Cut off a little at the end there, but you off a little at the end there, but you off a little at the end there, but you can see the punctuations are coming in. can see the punctuations are coming in. can see the punctuations are coming in. Great. And this can see the punctuations are coming in. Great. And this whole uh set here with Great. And this whole uh set here with Great. And this whole uh set here with all these paragraph breaks, this was all these paragraph breaks, this was all these paragraph breaks, this was just one long transcription all these paragraph breaks, this was just one long transcription I wrote down just one long transcription I wrote down just one long transcription I wrote down after listening to a podcast. This was after listening to a podcast. This was after listening to a podcast. This was uh just me listening to the Acquired uh just me listening to the Acquired uh just me listening to the Acquired podcast about the founding of Walt podcast about the founding of Walt podcast about the founding of Walt Disney. Uh little bit offbeat for me. Uh Disney. Uh little bit offbeat for me. Uh Disney. Uh little bit offbeat for me. Uh but I Disney. Uh little bit offbeat for me. Uh but I thought it was an interesting read but I thought it was an interesting read but I thought it was an interesting read just about uh how these sorts of just about uh how these sorts of just about uh how these sorts of businesses are founded. just about uh how these sorts of businesses are founded. Uh so I decided businesses are founded. Uh so I decided businesses are founded. Uh so I decided to take out a voice dictation app and to take out a voice dictation app and to take out a voice dictation app and write it down. And that's what I've been write it down. And that's what I've been write it down. And that's what I've been doing for all of my notes write it down. And that's what I've been doing for all of my notes at this point. doing for all of my notes at this point. doing for all of my notes at this point. Either come to my computer or on my Either come to my computer or on my Either come to my computer or on my phone, I just kind of type into it to phone, I just kind of type into it to phone, I just kind of type into it to get all the raw phone, I just kind of type into it to get all the raw data. And the reason I'm get all the raw data. And the reason I'm get all the raw data. And the reason I'm suggesting you do this is if you want to suggesting you do this is if you want to suggesting you do this is if you want to get to a point suggesting you do this is if you want to get to a point where you can actually get to a point where you can actually get to a point where you can actually have LMS generate wiks, visualizations, have LMS generate wiks, visualizations, have LMS generate wiks, visualizations, etc., have LMS generate wiks, visualizations, etc., you need a lot of raw data. You etc., you need a lot of raw data. You etc., you need a lot of raw data. You need a lot of raw materials. So don't need a lot of raw materials. So don't need a lot of raw materials. So don't worry if you're being a little bit worry if you're being a little bit worry if you're being a little bit scrappy, a little bit rambly. You're not scrappy, a little bit rambly. You're not scrappy, a little bit rambly. You're not formatting things with perfect bullet formatting things with perfect bullet formatting things with perfect bullet points. That's fine.

  5. formatting things with perfect bullet points. That's fine. The goal should points. That's fine. The goal should points. That's fine. The goal should just be get down as many thoughts in the just be get down as many thoughts in the just be get down as many thoughts in the moment as possible. Maybe it's a just be get down as many thoughts in the moment as possible. Maybe it's a meeting moment as possible. Maybe it's a meeting moment as possible. Maybe it's a meeting transcript, maybe it's research notes transcript, maybe it's research notes transcript, maybe it's research notes after you've read an important passage. after you've read an important passage. after you've read an important passage. Whatever it is, after you've read an important passage. Whatever it is, just being able to get Whatever it is, just being able to get Whatever it is, just being able to get your idea down on the paper uh makes it your idea down on the paper uh makes it your idea down on the paper uh makes it very effective for LMS to go access your idea down on the paper uh makes it very effective for LMS to go access it very effective for LMS to go access it very effective for LMS to go access it later. Um, so now let's talk a little later. Um, so now let's talk a little later. Um, so now let's talk a little bit about turning those raw materials bit about turning those raw materials bit about turning those raw materials into something more useful. bit about turning those raw materials into something more useful. Uh, this is into something more useful. Uh, this is into something more useful. Uh, this is another note that I took about the another note that I took about the another note that I took about the founding of Ferrari. I went down a founding of Ferrari. I went down a founding of Ferrari. I went down a little rabbit hole founding of Ferrari. I went down a little rabbit hole when I started little rabbit hole when I started little rabbit hole when I started listening to this guy. Uh, and this is listening to this guy. Uh, and this is listening to this guy. Uh, and this is what you can get to listening to this guy. Uh, and this is what you can get to if you just ask an what you can get to if you just ask an what you can get to if you just ask an LLM to do a little bit of recon for you. LLM to do a little bit of recon for you. LLM to do a little bit of recon for you. So, you'll notice that in the center is So, you'll notice that in the center is So, you'll notice that in the center is the same note, same sort of style of the same note, same sort of style of the same note, same sort of style of like a voice dictation transcript, but like a voice dictation transcript, but like a voice dictation transcript, but we've got some like a voice dictation transcript, but we've got some more details now. We can we've got some more details now. We can we've got some more details now. We can see the tags that are for the topic. So, see the tags that are for the topic. So, see the tags that are for the topic. So, we can see this see the tags that are for the topic. So, we can see this was a podcast. It's we can see this was a podcast. It's we can see this was a podcast. It's related to these focus areas. You can related to these focus areas. You can related to these focus areas. You can also see the source. It was able to related to these focus areas. You can also see the source. It was able to pull also see the source. It was able to pull also see the source. It was able to pull down the URL and find it. It also wrote down the URL and find it. It also wrote down the URL and find it. It also wrote down when it was enriched. We'll talk down when it was enriched. We'll talk down when it was enriched. We'll talk about why I down when it was enriched. We'll talk about why I do that in a second. And at about why I do that in a second. And at about why I do that in a second. And at the bottom, it also finds some back the bottom, it also finds some back the bottom, it also finds some back links of those. This is related to that links of those. This is related to that links of those. This is related to that other podcast you were listening to.

  6. other podcast you were listening to. other podcast you were listening to. Let's go ahead and link them together. Let's go ahead and link them together. Let's go ahead and link them together. And that web gets tighter and tighter And that web gets tighter and tighter And that web gets tighter and tighter the more And that web gets tighter and tighter the more things that you get down. Uh, the more things that you get down. Uh, the more things that you get down. Uh, and the way that you can get from this and the way that you can get from this and the way that you can get from this to something and the way that you can get from this to something like this is through an to something like this is through an to something like this is through an agent skill as you might expect. So, I agent skill as you might expect. So, I agent skill as you might expect. So, I have a agent skill as you might expect. So, I have a skill for that right over here. have a skill for that right over here. have a skill for that right over here. And it's just called enrich note. Enrich And it's just called enrich note. Enrich And it's just called enrich note. Enrich note. And it's just called enrich note. Enrich note. So right here it's just showing note. So right here it's just showing note. So right here it's just showing how you might instruct an agent to take how you might instruct an agent to take how you might instruct an agent to take one of those note how you might instruct an agent to take one of those note files and turn into one of those note files and turn into one of those note files and turn into something that's more useful. So here something that's more useful. So here something that's more useful. So here it's just saying let's go ahead and it's just saying let's go ahead and it's just saying let's go ahead and enrich that it's just saying let's go ahead and enrich that note. Put a little time enrich that note. Put a little time enrich that note. Put a little time stamp on there so if we ask the agent to stamp on there so if we ask the agent to stamp on there so if we ask the agent to do another pass it remembers that stamp on there so if we ask the agent to do another pass it remembers that some do another pass it remembers that some do another pass it remembers that some other agent did it in the past. Uh have other agent did it in the past. Uh have other agent did it in the past. Uh have it generate some tags. I actually other agent did it in the past. Uh have it generate some tags. I actually put it generate some tags. I actually put it generate some tags. I actually put all of my tags into this little uh all of my tags into this little uh all of my tags into this little uh reference folder over here. That way the reference folder over here. That way the reference folder over here. That way the agent reference folder over here. That way the agent isn't inventing new tags every agent isn't inventing new tags every agent isn't inventing new tags every time it goes through and tries to add time it goes through and tries to add time it goes through and tries to add more detail. This time it goes through and tries to add more detail. This gives it a concrete more detail. This gives it a concrete more detail. This gives it a concrete list of things to look through. I list of things to look through. I list of things to look through. I actually instruct the agent to list of things to look through. I actually instruct the agent to be actually instruct the agent to be actually instruct the agent to be reluctant to add new tags because Claude reluctant to add new tags because Claude reluctant to add new tags because Claude loves to get creative. Uh so just loves to get creative. Uh so just loves to get creative. Uh so just telling it loves to get creative. Uh so just telling it please don't do that. Uh use telling it please don't do that. Uh use telling it please don't do that. Uh use the instructions, but if you really find the instructions, but if you really find the instructions, but if you really find a pattern, go ahead and add something to a pattern, go ahead and add something to a pattern, go ahead and add something to this list. You can go ahead and do that.

  7. this list. You can go ahead and do that. this list. You can go ahead and do that. Uh also telling it to go research the Uh also telling it to go research the Uh also telling it to go research the source with web tools. Uh also telling it to go research the source with web tools. At this point, source with web tools. At this point, source with web tools. At this point, all the agents have web search. If not, all the agents have web search. If not, all the agents have web search. If not, exa is a great little tool that you can exa is a great little tool that you can exa is a great little tool that you can add into exa is a great little tool that you can add into your harness to go find that add into your harness to go find that add into your harness to go find that for you. And the last one's those for you. And the last one's those for you. And the last one's those related notes. to find back links, for you. And the last one's those related notes. to find back links, use related notes. to find back links, use related notes. to find back links, use some file calls, find related notes some file calls, find related notes some file calls, find related notes using key term search, and put them into using key term search, and put them into using key term search, and put them into the bottom. using key term search, and put them into the bottom. So then we have that the bottom. So then we have that the bottom. So then we have that interconnected web. Uh, and to run this interconnected web. Uh, and to run this interconnected web. Uh, and to run this skill, you can of interconnected web. Uh, and to run this skill, you can of course do it manually skill, you can of course do it manually skill, you can of course do it manually with whatever harness. Uh, I'm going to with whatever harness. Uh, I'm going to with whatever harness. Uh, I'm going to be using warp just to show you here be using warp just to show you here be using warp just to show you here because totally unbiased. I'm a really because totally unbiased. I'm a really because totally unbiased. I'm a really big fan of warp. Can you believe it? Uh, big fan of warp. Can you believe it? Uh, big fan of warp. Can you believe it? Uh, but big fan of warp. Can you believe it? Uh, but it also does give you access to any but it also does give you access to any but it also does give you access to any model including OpenWeight. So if you've model including OpenWeight. So if you've model including OpenWeight. So if you've ever been wanting to experiment with ever been wanting to experiment with ever been wanting to experiment with like ever been wanting to experiment with like GLM 5.2, too, just very good at like GLM 5.2, too, just very good at like GLM 5.2, too, just very good at this sort of task. You certainly can. In this sort of task. You certainly can. In this sort of task. You certainly can. In fact, I'll this sort of task. You certainly can. In fact, I'll let's go ahead and flip over fact, I'll let's go ahead and flip over fact, I'll let's go ahead and flip over to that just to try it. And I'll go to that just to try it. And I'll go to that just to try it. And I'll go ahead and call this skill to that just to try it. And I'll go ahead and call this skill by hopping ahead and call this skill by hopping ahead and call this skill by hopping into our little note here. I might go into our little note here. I might go into our little note here. I might go ahead and into our little note here. I might go ahead and call enrich note. And then ahead and call enrich note. And then ahead and call enrich note. And then I'll pull in this note from earlier. I'll pull in this note from earlier. I'll pull in this note from earlier. Grab I'll pull in this note from earlier. Grab that file path and just tell it to Grab that file path and just tell it to Grab that file path and just tell it to go ahead and add more detail to this go ahead and add more detail to this go ahead and add more detail to this guy. And I go ahead and add more detail to this guy. And I can show you a completed run guy. And I can show you a completed run guy. And I can show you a completed run of this, too. Uh right over here we can of this, too. Uh right over here we can of this, too. Uh right over here we can see of this, too. Uh right over here we can see uh this was well we'll talk about see uh this was well we'll talk about see uh this was well we'll talk about this in a moment but asking it to do it this in a moment but asking it to do it this in a moment but asking it to do it on a sort of automation this in a moment but asking it to do it on a sort of automation across all of on a sort of automation across all of on a sort of automation across all of your notes. Uh it go ahead and it will your notes. Uh it go ahead and it will your notes. Uh it go ahead and it will go ahead and find your notes. Uh it go ahead and it will go ahead and find any notes that weren't go ahead and find any notes that weren't go ahead and find any notes that weren't enriched in the past. So remember that enriched in the past. So remember that enriched in the past. So remember that at the top here we gave it a little at the top here we gave it a little at the top here we gave it a little timestamp at the top here we gave it a little timestamp every time it gets enriched.

  8. timestamp every time it gets enriched. timestamp every time it gets enriched. So the next time we ask an agent to do So the next time we ask an agent to do So the next time we ask an agent to do it, it was look for anything that's not it, it was look for anything that's not it, it was look for anything that's not tagged it, it was look for anything that's not tagged yet. It'll go through run that tagged yet. It'll go through run that tagged yet. It'll go through run that whole flow across all those notes. It'll whole flow across all those notes. It'll whole flow across all those notes. It'll make some modifications to whole flow across all those notes. It'll make some modifications to the files and make some modifications to the files and make some modifications to the files and then on the other side you get a more then on the other side you get a more then on the other side you get a more organized notebook than you had before. organized notebook than you had before. organized notebook than you had before. It's very

Summary

This tech talk focuses on organizing raw thoughts and notes into LLM knowledge bases, drawing parallels to disorganized personal note-taking systems like Apple Notes or Obsidian. The practical takeaway is to transform scattered ideas into a structured, navigable, and discoverable knowledge system using markdown files, with tools like Hubble or Obsidian enabling this transformation.

View original episode ↗