Creative Inspo Agent conversation

### YT Inspo Agent

A set of skills and clis for getting inspo for videos and projects in general. Curate a database of good videos/assets, search through the database

**Features**
- Built around a big database of yt videos & other generic assets. Each video has it’s: thumbnail, title, and analytics. Generic assets can be: images, videos, audio files, or text snippets
- Each video in the db is indexed on it’s title and thumbnail so it’s easy to earch through (combo of vector and agent search. both are vectorized, and the thumbnail is also parsed into detailed text for agent search)
- There is a “assets explorer” site that lets u go through all the assets in the DB in a nice UI, and also serve as a hosted version with an api that the codex instance can work with
- Sites can be generated off of templates for inspiration boards. These are saved in the db

### Data model

- YT Video Table
- Asset Table
- Inspo Site Table



This is the high level for an agent that I'm currently working on. It's what we're gonna build in here. Need to get it set up so that we can have all of this in here. Before we go through and build any of this, ask me questions group by group. Not one by one, but group by group. So like, ask me the questions on the skills or the backend or the data layer, or anything like this, so that we can get aligned on how this should actually work, and then we'll put together a first version.

This is currently being built entirely just for me. Focus is entirely on YouTube stuff. Most important workflows are saving a video, bulk importing videos and playlists, uploading generic assets, yes, searching for inspiration conversationally is definitely important, browsing and filtering manually, yep. Yeah, honestly, like all of the ones that you listed are what we want. Curation should very much be agent-assisted. So the idea would be if you invoke the skill for searching for inspiration, it would use a combination of agent search and vector search to go through and find the best possible things to look at, and then you can like get the assets that you want put together within like a Codex thread. And then once you have those ready, you can fire off like the inspo board skill, inspiration board skill, which will actually put, which will take all of the assets that you picked and create a really nice little site for you to explore and look at all those, and then you can keep iterating back and forth on that. Curated asset, like, the assets are entirely curated by them being added. We don't need special filters in there based on like, you know, whether or not they're curated or not. It's just if an asset is added, that's considered curated. One shared library. The most useful workflow to get started with would be I can run an import skill, I can dump a bunch of YouTube video URLs in there, and then that will result in me having all of those in the database. Then I can go to another chat and I can run the search workflow, which would, both of these would be skills. I can look for inspo for a video that I want to make, it will work with me on titles and thumbnails and stuff like that. And then once we have all of that prepped and ready to go, I want to be able to run a skill to create the inspiration site board thing. This is primarily an agent toolkit.

To start, it should just be accepting pasted video URLs, channel URLs, and playlist URLs. Well, actually, I mean, a lot of this is just the agent will be handling it. So it should accept all of those and then just automatically parse those behind the scenes using OITC. Playlist should not remain connected in the future. It should basically just use those to go and grab all those videos and then import them like normal videos. The video ID should probably be the global dedupe key. Repeat imports will just update the existing ones. The raw YouTube fields in v1 would be the title, the channel, publish date, duration, thumbnail variants, public statistics, and that's it. Nothing else. We don't need those. And the things that we'll be searching on will just be title. And then for the thumbnail, we'll need to have some system for taking that thumbnail and both vectorizing it and also turning it into text for agent search, because it would be way too much to dump a thousand images into one model and have it parse those. We should use GPT-5-6 Luna as the thing that we can use to, during ingestion, take the thumbnail and make it into text. Statistics should be a current snapshot. Maybe in the future we can set up some, like, automation that can run to update the statistics on videos, but not for right now. During processing, we should download and retain the thumbnail, generate the thumbnail descriptions using GPT-5-6 Luna, embed the title, embed the thumbnail. Transcripts we're not saving, so we don't need those. And then the agent stuff, I don't think we need those either. Like, it should just be, like, going off of, well, we can talk about that. I am interested what you think on that. The skill should wait until every video is fully searchable, and it should be clear about, like, what it's doing in the background. Import should behave atomically. If it partially fails, that should just be entirely a failure and it's not persisted. For generic assets, it should only accept local files and just text. But it should be able to, like, take a CSV or a Markdown file of a bunch of titles and shit and then import those. But, like, those are just going to float separately compared to the videos. The videos have all their stuff grouped together. V1 is entirely on public video data.

Yes, the default search should automatically combine those. It should just be like the agent has the ability to use both under the hood. So like it can do a broad search for just like videos that or thumbnails that match some idea. Like if you have thumbnails that are on ranking videos, the ranking videos will just automatically show up in that hopefully. But then also it can use agent search to curate and make sure that all of those results look good. It's a hybrid approach. Then for title inspiration and thumbnail inspiration, the conversational workflow should just decide what signals that matter. Like the user's prompt should be like, hey, I want to find the, come up with the thumbnail for this video and then describe the video. Or, oh, I wanna iterate on the title for this video. Or I wanna do both. Like it should be obvious from the conversation. As far as re-reviewing the thumbnails, inspecting, like how much will that hurt context? Like, is dumping 30 images into context a good idea? If it's okay, then like I'm okay with like having it review, manually review 30 thumbnails and then do that from there, as long as that's not too big of a deal. Yeah, of course, users should be able to provide reference images and videos as well as text prompts. Like the interface for this, it's a skill, and it will be the codex interface. Then the filters that matter in v1, channel, publish date, duration, view count. It's less of a filter and more just something that should be displayed as part of this as like a reference. The like count should not be part of this. Import batch should not be part of it. Asset type should be part of it. Results in Codex should be concise recommendations with reasoning is pretty much what we want, at least to start. Like the role of the chat is to put together how this should look and feel, or sorry, like what the user's looking for, and then like it gets crystallized into something later. Yeah, the search suggestion should maintain the working selection. But again, with all of these things you're asking here, these are hyper-specific behavioral things that we don't need to prescribe to it. I don't want to overbloat this skill with do this, do this, do this, do this in very specific scenarios. It should be a much broader like, hey, you have this database, here's how to search it, here's like help the user put together this stuff and come up with better thumbnails, and then the agent can figure it out from there. It's very smart. It doesn't need all these guidelines. Generic assets should be in a separate tool, and then the agent can combine them. But like, the main thing is just these are separate database or separate tables within the database, so it'll have to do that, and it can just do tool calls to search each of these. And then as far as like CSV and markdown title collections, like, again, it's just based on what's in it. Like the agent should be able to read it and figure out what's in there. We don't need to prescribe that. The search should favor relevance, but it should also diversify like different types like under one bucket. Like it should go for the general field that the user's looking for, but also like get some diverse results in there to really help with the inspiration side of things.

V1 should definitely begin local first, hosting is later. The stack should be TypeScript, vector search for sure. And then instead of Postgres, we should use SQLite, because when we do host this, we'll be hosting it with Cloudflare primitives, so it'll be a D1 database. So we want to use SQLite. S3-compatible object storage, yeah, that's fine, but it'll also be R2 when we host it. Like I said, it'll all be Cloudflare. The codex skill should communicate through a dedicated CLI, 100%. And that CLI, we should write it using Effect v4. Have a sub-agent go off and explore how Effect v4 works. We want to use all of the effect primitives for CLI and fetch and random stuff like that, and build it around effect primitives. Because what we can do with that is we can have multiple implementations here. We can have one interface for search and stuff like that, and then that'll have two different implementations. One will be the local, one will be the hosted. And we'll just start with the local one. That's the one that makes the most sense. Should design for tens of thousands, but I don't think that really changes too much. This should scale nicely. For the embedding stuff, I want to use the OpenAI embedding models. I can get you an OpenAI API key for that we can auth with the CLI. But the embedding should use the latest version of the OpenAI embedding models. We should retain only the best downloaded thumbnail while reporting. Yeah, only retain the best one, but we can keep all the thumbnail URLs, that's fine. Yeah, staging-based import is fine. I would like that workflow to have like kind of a nice feel within the codex chat where it starts by pulling down the videos and says, okay, I got this many videos. And then it says like what it's currently doing. So it is embedding the videos, and then it is parsing the videos, and then it is saving to the database, and then it gives you the final report in a table at the end there. One API credential is totally sufficient. We don't need to do browser login stuff for V1. And again, for this true V1, we're not even touching the browser. We're doing all of this locally.

Yep, that constraint on the embeddings is totally fine. Yep, the text embeddings for a large model, all makes sense, that's good. Yep, I think that the local ones being in SQLite and using the local vector extension sounds good to me for local object storage. The managed directory, this should exist within a home directory dot directory type thing. So we should have like a .creative-inspo-agent thing that gets auto-created in the user's home directory. And that's where the local assets will live, that's where the SQLite database will live, that's where the config will live, all of that stuff should be in there. The CLI, yeah, emitting a progress event is a good idea. I'm kind of imagining like, I don't think that we need to build all of that into the CLI as like one workflow, but rather just expose them as tools that the model can then handle the orchestration of. Because if we have like a hard-coded workflow, that's harder for the agent to fix random stuff that goes wrong and like handle it step-by-step. So like fetching data, that should just be handled by the OYTC CLI and not built into this one. So like it just calls that. Then for the describing, that should just be it firing off sub-agents using Luna to actually go and do that description. So again, not part of the CLI. Embedding, there should be an embedding command within the CLI to generate the embedding. So it can do it that, that way, that's totally fine. And then saving should also be a separate command. So then the skill will just handle the workflow of going through all of that stuff. And the OpenAI authentication will be using the OpenAI API key. But the credential management flow will be through the CLI. So you should be able to do like the CLI login, and then that will tell you to paste in your API key, you paste it in there, and then that gets saved to like an auth.json file within the home directory thing that we have set up for this. And you can also log out, check auth status, all that kind of things.

That's a good set of starting skills. I'm good with that. The OITC should remain a separate dependency, yes. If it's not discovered when you try and, like, run the import, it should then just give you instructions on how to install it. Or actually, even better, it should just, like, tell you how, it should just do it for you if you give a branch. It'll just ask, like, hey, we need this. Can I install it? And then it'll install it and be like, hey, we need to auth with API key. Here's the steps to go get that API key, or do the OAuth login, one of the two. It'll just break that down for you and, like, self-heal in that way. That's a lot of the benefit we get from this. The persistence primitive, yeah, I think that's okay. That should probably be a separate skill and honestly something we'll do later. I think for now, let's just skip the persistence part. The info board will be the way we persist things. Outside of that, it's just saved within the chat. And yes, the CLI should be JSON first for agents. Definitely have optional human re-roll tables. Yes, search should include that, the paths, metadata, all that stuff. The skill should live repository local for development. Then if this all works, we can set up a way to, we'll set up the installation for my main machine, but for now just keep them in the repository within a .codex directory. I think that those are fine for V1. I don't think we need anything else.

Oh yeah, to be clear, I am deferring the persistence of a search session's selected results. I am not deferring the searchable SQLite library. Each board should definitely have a board.json. Yeah, I'm okay with that being a durable source of truth for now. Yes, that's where the board should live locally, and then we should be able to publish them, but we'll deal with that later. It should definitely include the selected videos. And what I'm imagining is like, just like, not walls of text, not lots of crap, no little subheadings, no all-caps bullshit, none of that. Just like a really nice, kind of like, wall, like glass wall of like all the thumbnails like together, and then each one has its thumbnail, its title, and then some statistics plus the channel info on it. V1 should provide a strong default template, and then reasonable name templates are definitely deferred. Yeah, I think during iteration, we can regenerate the board manifest. I'm iffy on the board manifest in general, but for now we can stick with that. The browser automation, it's not browser automation we're deferring, it's browser login we're deferring. And we should not be just doing static HTML files here, we should be doing Vite apps, like React Vite apps. Wanna use that for this.

It should be a unique TypeScript React Vite project. They should not have anything shared between them at all. board.json... Actually, no, I wanna throw out the whole board.json thing. I think it sucks. Because the thing is, with this, I don't wanna, like, you're being super scripted with all of this. We don't need to be prescribing stuff like a board.json. What we should be doing is just, like, having some guidelines and, like, a pre-built template React Vite app that is like, hey, here's what one would look like. And then the agent can take that and then create a new one based on that, and then fill in the content dynamically based on the thing, and then we're just, like, changing that Vite project. All we're really doing is just, like, creating a bunch of random Vite apps that live in a directory with a key on them by their name so that we can, like, grab them. And then if you tell the agent to run it, it'll run it in dev. And then when we want to go to deploy it, it'll be super easy for it to wrap everything up and deploy that up. When clicking on a card, it should open the video in a new tab. But like, for all the, like, specifics on this, we will do, we will put together the template, but we'll do that later in a different thread. For now, just focus on the CLI and ingestion and search and stuff like that.

cli should be named "creative-agent" Honestly, let's just do YouTube video library first because the local generic assets are way, way easier. Yeah, one JSON batch passed in after the skill is fetched, describe the embeddings. That's totally fine, we can do that. Yes, should definitely expose lots of flexible primitives. Deletion and reindexing should definitely ship initially. And one big thing to remember with all of this is simplicity. Focus hard on simplicity.

Biome is good with me. The model names are, yeah, those are okay. We can stick with those. Everything else I think is okay. Yeah, yeah, this is good. Get the first version of this implemented. As you're implementing it, make sure to use sub-agents for researching and planning, the sub-agents for implementation, and your main job is to act as orchestrator for all of this. And before you begin any of it, make sure to persist this plan and spec and, like, all of the things that we came up with here, like describing the product, persist that to a markdown file in the root of this project so that we can maintain that in the future.

/Users/davis/Developer/creative-inspo-agent/INSPO_PAGE_SPEC.md created the inspo page spec file. don't need to do anything with it now but just want you to know that it's there so don't try and overwrite it or break anything around it. just commit it and be ready to make me do something with it later.

set this to be the remote url for it [davis7dotsh/creative-inspo-agent](https://github.com/davis7dotsh/creative-inspo-agent) then commit and push everything up to that

Go ahead and start building out the first drafts of the inspo page based on the spec with a sub-agent in the background. And then while that's running, can you walk me through the stuff that we currently have set up, the skills and all that, and some ways to test them, and also what needs to be authenticated in order to get them to work.

I've got the api key, what do I need to run to fill it in?

just tested it, and it's working

Can u make these a bit bigger, and also add some darkness behind the title when not hovered so it's easier to read and make the view counts bigger

Can u take this conversation, and save the assistant and user messages as a markdown file in my downloads folder?

actually scratch that, instead of a md file in downloads, make a columbia pages doc for it and send me the link. Just have it show the transcript with my message(s) and then the assistant message response