Content Curation Agent

🤖 Explain with AI

The Content Curation Agent is a strategic thought-leadership tool designed to keep your brand relevant and active. It automates the process of discovering high-quality industry news and trending topics, transforming them into ready-to-post social media updates. This ensures your audience sees you as an informed authority without your team spending hours scrolling through feeds.

Capabilities & Features¶

The Content Curation Agent is optimized for the following curation tasks:

• Intelligent Discovery: Continuously scans trusted sources (RSS feeds, news sites, specific influencers) to identify articles relevant to your specific niche.
• Relevance Filtering: filters out noise by analyzing content against your brand’s keywords and audience interests.
• Commentary Drafting: Instead of just sharing a link, it generates insightful captions or summaries that add value and spark conversation.
• Platform Adaptation: Formats the curated content appropriately for different channels (e.g., a professional take for LinkedIn vs. a quick tip for X/Twitter).

Integration Guide¶

Unlike standard API-integrated tools, the Content Curation Agent is deployed and managed directly through 4Geeks’ support and engineering teams.

1. Request Access: Contact your assigned 4Geeks account manager to request the Content Curation Agent.
2. Configuration: A 4Geeks staff member will work with you to curate your “whitelist” of sources, define forbidden topics, and set the tone for your commentary.
3. Deployment: The agent is connected to your content calendar or social management dashboard (e.g., Buffer, Hootsuite) by 4Geeks technicians.

Workflow Scenarios & Token Usage¶

The following scenarios illustrate how the agent interacts with users and estimates the associated costs based on the 4Geeks token model.

Scenario 1: Daily Industry Round-Up¶

A tech company wants to share the top 3 AI news stories of the day on LinkedIn every morning. The agent scans 50+ sources, picks the top 3, and writes a summary post.

sequenceDiagram
  autonumber
  actor Scheduler as Cron Job
  participant Agent as Curation Agent
  participant LinkedIn as Social Platform

  Scheduler->>Agent: Trigger Daily Scan (08:00 AM)
  Note right of Scheduler: Input: ~50 words (Instructions)

  Agent->>Agent: Scan Feeds & Select Top 3 Articles
  Agent->>Agent: Summarize & Draft "Morning Update"

  Agent-->>LinkedIn: Push Draft for Approval
  Note left of Agent: Output: ~300 words

Cost Estimation¶

• Input Data: System instructions + Metadata of selected articles (~100 words).
• Output Data: 3 Short summaries + Introductory text (~300 words).
• Total Volume: ~400 words.
• Token Calculation: 400 words ÷ 0.75 words/token = ~533 tokens.
• Estimated Cost: ~500 - 550 Tokens

Scenario 2: “Breaking News” Reaction¶

A major regulatory change happens in the client’s industry. The agent identifies this high-priority keyword (“GDPR update”) and drafts an immediate, reassuring tweet for the CEO’s account.

sequenceDiagram
  autonumber
  actor News as News Source
  participant Agent as Curation Agent
  participant CEO as CEO's Approval App

  News->>Agent: New Article Published (GDPR)
  Note right of News: Input: ~600 words (Article Text)

  Agent->>Agent: Match "High Priority" Keyword
  Agent->>Agent: Draft Reaction Tweet

  Agent-->>CEO: Send Notification with Draft
  Note left of Agent: Output: ~50 words

Cost Estimation¶

• Input Data: Full text of the breaking news article to understand context (~600 words).
• Output Data: concise tweet draft (~50 words).
• Total Volume: ~650 words.
• Token Calculation: 650 words ÷ 0.75 words/token = ~866 tokens.
• Estimated Cost: ~850 - 900 Tokens

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• Check out the changelog.
• Contact our enterprise support team.