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Lex Introduces Context Tags for Streamlined AI Writing

Key Points

  • The speaker finds traditional chatbot interfaces clunky for AI‑assisted writing, often juggling multiple models (Perplexity, ChatGPT, Claude) and endless copy‑pasting to get usable output.
  • They crave a simpler, AI‑native writing modality that lets them partner with AI without constant manual stitching of prompts and results.
  • Lex, a lesser‑known text‑focused platform, introduces “context tags” that act like code variables, allowing users to inject style, research, audience, length, and core insights instantly into a document.
  • Lex also enables seamless switching between different AI models within the same workflow, eliminating the need to hop between separate tools and dramatically speeding up iterative content creation.

Full Transcript

# Lex Introduces Context Tags for Streamlined AI Writing **Source:** [https://www.youtube.com/watch?v=pvzo9JfsK6Y](https://www.youtube.com/watch?v=pvzo9JfsK6Y) **Duration:** 00:04:14 ## Summary - The speaker finds traditional chatbot interfaces clunky for AI‑assisted writing, often juggling multiple models (Perplexity, ChatGPT, Claude) and endless copy‑pasting to get usable output. - They crave a simpler, AI‑native writing modality that lets them partner with AI without constant manual stitching of prompts and results. - Lex, a lesser‑known text‑focused platform, introduces “context tags” that act like code variables, allowing users to inject style, research, audience, length, and core insights instantly into a document. - Lex also enables seamless switching between different AI models within the same workflow, eliminating the need to hop between separate tools and dramatically speeding up iterative content creation. ## Sections - [00:00:00](https://www.youtube.com/watch?v=pvzo9JfsK6Y&t=0s) **Untitled Section** - ## Full Transcript
0:00I really like it when we get new 0:01modalities that we can talk about new 0:03interfaces that we can talk about for 0:06tasks that are truly AI native so 0:08writing is one of those tasks it's moved 0:10from I think about it in my brain I do 0:12all the work in my brain I write it down 0:14which was our whole world until 0:1620122 to now I work with AI I partner 0:20with AI but we don't have good 0:22modalities to support that what I mean 0:25by that is the chatbot kind of sucks 0:27like I have to sit there and type it in 0:30and what I find is I'm not happy with 0:32just the output of the chatbot and a lot 0:34of people will tell you on the internet 0:35well that's because the chatbot is bad 0:37and you have to edit it extensively and 0:38all of that what I do is I actually have 0:42like three or four different AI sources 0:43running at the same time and I'm mixing 0:45and matching them there's a lot of copy 0:46pasting so I go to perplexity I get a 0:49bunch of sources I paste that into Chad 0:52gp40 and I get something going with that 0:55then I ask 01 to think about it and look 0:57at it then I say this doesn't feel clean 1:00muscular Pros I need to one voice it I 1:02bring it over to Claude Sonet 3.5 to try 1:05and one voice this is getting 1:06complicated right like there's a lot of 1:08copy and pasting going back and forth so 1:12I would love to have a world that was 1:14simpler and what I found is that Lex 1:17actually offers that so Lex is a kind of 1:21little known tool but it's entirely 1:23focused on text it's like it's 1:24Reinventing what word is and I got a 1:27sneak peek at a new feature they're 1:29bringing 1:30that really underlines how you can have 1:32a different ux modality when it comes to 1:36writing so they are introducing context 1:39tags context tags are this idea that you 1:43can evoke an entire piece of context for 1:45your writing like a variable in code so 1:49if you're just kind of going along and 1:51you're like I want to write something 1:52with this this this and this you can 1:54just tag in context tags and it Imports 1:57all of that context into the 2:01document and what I love about that is I 2:04have the option to essentially use a 2:07recipe to write an article now I can say 2:10I want it in this style and I evoke a 2:12context tag I've built for that style I 2:14want it with this research and I evoke a 2:16context tag I filled in for that 2:18research I want it with this length and 2:22audience and I evoke a context tag for 2:24that I want it with this set of core 2:29insights that I've veloped I have it all 2:31I can just context tag it in and then I 2:33can remix reuse adjust those context 2:36tags as I go and it's super fast 2:39especially if you're writing blog posts 2:41multiple times if you're kind of in the 2:43same content stream and you're reusing 2:44those content context tags it just runs 2:48quick and instead of me having to keep 2:51all of that in my head and repeat it or 2:53copy and paste prompts in it just goes 2:55fast and Lex lets you switch between 2:58models in the same flow so I don't have 3:00to like copy and paste into CLA and into 3:02open AI Etc it's just right there I just 3:05switch the model and keep going so I 3:07love it I also love the little touches 3:09they bring like when they're editing 3:11they actually show you red 3:13strikethroughs for deletions green for 3:15additions it's very easy to see how the 3:17model is working with the text you can 3:19do contextual editing in pieces um I 3:22think context tags are coming out for 3:23everyone in the next week or so I got a 3:25sneak peek I love them uh I'm going to 3:28put a link to an article I wrote using 3:31five or so different context tags just 3:33to show you what it looks like it's on 3:34writing and how writing is changing 3:36because that's what this is about uh 3:38I'll put that in the YouTube description 3:40uh you can feel free to check it out I 3:42would love to hear from you what are 3:44other new kinds of modalities or 3:46interfaces that you have seen that feel 3:48truly AI native that work with how our 3:51brains are now working now that we have 3:53artificial intelligence as a partner for 3:55these kinds of tasks like to me what Lex 3:58is doing feels a little bit analogous to 4:00what cursor has been doing or wind surf 4:03has been doing for coding but they're 4:05doing it for writing so I'm curious what 4:07you guys think and I would love to hear 4:09more examples of interfaces like that 4:11cheers