athena-oracle/transcripts/chunks/c08.txt

# oracle/transcripts/chunks/c08.mp3
# model: tiny | lang=en

[0.0s] sample project. So this example we actually create a group chat where you can message a room.
[6.4s] And then we can set a keyboard, Hermit, come up with a new game idea to build. It will read
[11.4s] our obsidian vaults of the memory that it tells that earlier. And then all our agents just
[15.5s] chip in and the speed to each other and the bounce ideas off each other. So like for example,
[19.8s] Joe and I are like, oh that's a clever twist. Clawd, let's do that. And then code x as I
[24.5s] know what this sounds really good to integrate over and over and over. Let's add that to our pipeline,
[29.8s] which brings me to the next setup. So we've got a paperclip for agent orchestration. We have
[34.8s] the AI agent group chat. We can also see the history of all our group chats here. Always good to add
[39.5s] history inside the agent or I suppose you won't be able to find stuff in your loop stuff and you're
[43.5s] great. Let's all substitute the confine later. And then finally we have the pipeline. So with the pipeline system,
[49.3s] you can drop an idea in here and you can go from get me idea to going into the human approval
[56.5s] section and just implement it. And this was really good because I found like a lot of people
[60.6s] including myself would have so many amazing ideas but it's very difficult to implement it for him.
[65.4s] So with this system, you can take all your ideas all to master this from the group chat because
[69.8s] the agents add this into the pipeline. And then anything that you like right, we need to build this today.
[74.8s] Okay great, let's just build it. It will come up with a plan. It will plan it out. Then we can
[79.8s] approve it. Then it will build it and then we can view what was actually built previously. And we actually
[85.0s] have a full gallery where we can see all of our ideas. And so we can go from idea to implementations so quickly.
[92.2s] Which is really really cool. So for like okay we need to build out this website, boom shout,
[96.0s] like we can open up that website here later. And again I think it's so important to have like a gallery
[101.4s] and a workspace and stuff that you can see and say for later. Because if you don't,
[106.2s] the biggest issue is that you will not be able to find it. It would just get lots of new downloads.
[111.8s] And that will go with the other 100 projects you're working on and then you won't be able to find it.
[115.7s] So that's why I'm going to a gallery and a pipeline is so so useful. Now what we also have over here is we have,
[122.3s] for example, Claude. And anytime I'm like Claude actually brings something useful out,
[126.9s] we add that feature in as well as a separate tab. I'd recommend that for you too. So for example,
[132.4s] if you saw the ultra-code update, this was amazing. You can have a 14 of agents working in parallel,
[139.3s] working together towards one task and you don't have to orchestrate it, Claude is your extraator
[143.9s] and it builds the subagents for you. So with this system we just added that as a separate tab. And it's like
[149.4s] you create your own custom version of Claude that you can edit, you can change your UI of any time you want,
[154.2s] you can come back to at any point. Then we have Hermes. So Hermes again, really, really powerful.
[162.0s] One of the things that I noticed is like they bring out new, there's always new models that we can plug into
[166.2s] Hermes and this way you want to focus on the system, not the model. So for example,
[171.4s] G556 comes out, no problem. We're going to build that out. It doesn't change how I work.
[176.5s] Doesn't make me have to rebuild anything. It's just like we can add the model inside the system.
[181.4s] The same, for example, a lot of people asking about how to have a voice activated AI agent that we
[185.8s] can talk to. And so we actually build that into this system as you can see. So what it can do is you can listen to me,
[192.2s] you can talk to me, it can build stuff out for me. And then again, we've got the full gallery here of
[197.9s] everything we've created. But we have Hermes all recall. For me, I was just find way too much time was being taken,
[205.0s] research in the latest news. And so I created this. I also think a great tip for you here if you're
[209.5s] building out your own agent or S is that you make sure it's super visual and fun to use. So for example,
[216.0s] we just added this law icon here. I think it's just a little touch. It's a little UI touch, but make it fun and easy to
[223.8s] use and very memorable. So when I see this in my archive, I know exactly what this does because I associate
[230.2s] the image with the workflow here. And if you don't like the UI of some like that, you can always customize
[235.6s] it for later too. So we have an image studio here too, but we actually have a video on a voice session as
[242.0s] well. You'll not see your previous sessions or what's been done across all of your AI agents. Which is
[246.5s] great when you see the status, we can see the skills installed into a Hermes agent, the campband, the plugins,
[252.4s] the doctor of the insights. These are all just for real cool ideas. Again, as you make it more complex,
[258.4s] more things can break. And also if you're using APIs in any part of that, just be careful because
[264.4s] you know, no more than you don't want to rinse the tokens if you're using the API XT in get expensive.
[268.5s] And number two, sometimes the API is for break or let expire and you have to be careful about too.
[274.2s] What I also like to do is let separate the outputs by the system depending on the model. And one of
[280.9s] me and by that for example is we have Hermes here. What I recommend to you is that you build out workspace
[285.9s] where you can track all your creations by the model that's created it. So when we were testing out
[291.8s] Grok 4.5 earlier this week, we have all of the creations from Grok 4.5 saved inside the workspace.
[299.4s] Really is.