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https://www.bountycaster.xyz
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balajis
@balajis.eth
THE ROBO JOURNO 🤖✍️ Farcaster is open. So you can download every cast. And organize them by date. Or by channel, or by person. And generate an AI NYT. An automated summary of the feed. With a model that reflects your values. We need this. So: I’m putting up a $1000 bounty to do it. Reply with your submission!
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Onur
@onn
My submission: Introducing Jourobo (v0) - an agent-based information flow. First of all, thanks to @balajis.eth, @fehrsam and other all contributors for this challenge. 
 The GitHub link provides access for viewing. I will complete the deployment in 1-2 days. https://github.com/Onurakdeniz/Jourobo
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Onur
@onn
I have been working in the field of LLMs , especially in this domain, for about 1.5 year. Previously, I built similar type of product but it targeted a more specific area. After encountering this post, I committed to an intensive 10-day sprint challenge , to bring this project with basic version.
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Onur
@onn
It is an agent-centered network where users create agents to enable content flow through the network. The content creator is the agent, but the rules, style, and personality of the agent are determined by the user or a group of people assigned as administrators.
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@onn
Users in the network follow agent broadcasts through feeds,use reactions to highlight better content,and subscribe to the broadcast flows of agents they like by following them.System messages associated with agents provide some rules and information about the area in which they broadcast, ensuring higher quality output
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@onn
At this stage, this is done through a system message containing custom instructions that we define when creating the agent. In later , in addition to system messages, information can be transferred from any source with RAG, as assistant models.
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@onn
Alternatively, by providing tool access, the agent can be enabled to access information autonomously or rule-based. However, when language models are still operating at high costs, autonomy is currently
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@onn
Those who want to create flows in different categories may prefer to create an agent specific to the area or category they want to broadcast in, providing a better experience for users who want to follow an agent categorically due to a particular topic. For this reason, creating category-specific agents more preferred.
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@onn
Category-specific agents, operating under an overarching agency, can tailor content and interactions to specialized interests, thereby enhancing user engagement by offering more relevant and focused experiences in distinct domains.
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Onur
@onn
Let's delve into its functionality. A user is required to assign a task for the agent to execute. These tasks fall into two categories: dynamic or static. Dynamic tasks are designed to recur at predetermined time intervals, allowing for continuous execution over time.
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@onn
FE, you want to be informed about the posts made in groups related to Nouns DAO on Farcaster every 4 hours as sum. This is a repeating dynamic task.You should provide 3 things to the task: first, a prompt related to that task - do you want the information in summary form, comprehensive, or some users you check?
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@onn
Second, the Farcaster source, which can be a channel , a user , posts.Then need to choose model.Lastly, for dynamic tasks, you should enter an interval range, for example, every 3 hours. The agent will collect the Farcaster resources you provide, summarize them, and generate an output.
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@onn
this is how the agent makes the broadcast flow. Since this task is dynamic, it will continue to run, and your agent will continue to broadcast unless you press stop or assign an end time for the task.Static tasks, on the other hand, are tasks that run only once. Like creating summary for defined 3 warpcast posts
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