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LinkedIn Activity Feed Analyst

LinkedIn Activity Feed Analyst

agent Agent

Description

Analyses a LinkedIn activity feed to provide insights into the kind of content they create, and the kind of content they love enough to reshare to their own network.

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Example Task

LinkedIn Activity Feed Analyst
LinkedIn original posts and reshares
LinkedIn Activity Feed Analyst

LinkedIn Activity Feed Analyst

provided an update

Activity Feed Stats

  • Activity Feed Window: 50 items (09-Sep-2025 to 09-Nov-2025, 61 days)
  • Original Posts: 14
  • Reshared Posts: 33

Top 3 Original Posts (by engagement):

  1. Pixel art animation video using AI agents and Acme Platform v5. Post | Video
  2. First talking head video: walkthrough of Tech Solutions Inc.’s chat-based slide builder for interactive storytelling. Post | Video
  3. Multi-platform AI workforce demo: orchestrating tasks across Acme Suite, NotesApp, MarketingHub, OutreachPro, and more. Post | Video

Top 3 Most Reshared Accounts:


Insights about original posting patterns

1. Deep Engagement with AI Agents, Automation, and No-Code Tools

Jane Smith’s content is heavily focused on hands-on experimentation with AI agents, automation, and creative applications—often blending technical walkthroughs with practical, real-world use cases. She frequently shares not just the outcomes, but also the process, tools, and even templates for others to try.

Examples:

  • Pixel Art Animation with AI Agents:
    Generated a pixel art animation video using a custom agent and Acme Platform v5, sharing the process and a free template for others.
    Post | Video

  • AI Agents + NFC Tags for Plant Care:
    Demonstrates how to use NFC tags to trigger AI agents for logging and scheduling plant care, integrating with Acme Sheets and reminders.
    Post | Video

  • Multi-Platform AI Workforce:
    Describes a workforce that can handle complex, multi-app workflows (MarketingHub, NotesApp, Acme Sheets, etc.) from a single prompt, showing the power of orchestration and agent collaboration.
    Post | Video

2. Creative AI and Art/Design Experiments

There’s a strong thread of creative experimentation, especially at the intersection of AI and art/design. Jane Smith often explores how generative models can be used for visual storytelling, slide design, and even physical art.

Examples:

  • AI-Generated Art Painted on Canvas:
    Explores the ethics and process of using AI to generate art, then painting it physically, with a deep-dive reflection on the experience.
    Post | Image

  • Recreating Branded Slides with AI:
    Attempts to recreate high-end branded slides using Tech Solutions Inc.’s chat-based slide builder, reflecting on the process and results.
    Post | Video

  • Social Media Banner Generation with AI:
    Walks through the iterative process of creating a personal social media banner using generative models and DesignBoard.
    Post | Image

3. Educational Content and Community Building

Jane Smith regularly shares educational content, agent templates, and practical guides for building with AI, often inviting feedback and collaboration from the community.

Examples:

  • Beginner’s Guide to Building AI Agents:
    Mini blog post on how to start building AI agents, with a focus on solving small, clear problems and scaling up.
    Post | Video

  • AI Newsletter and Project Deep Dives:
    Promotes her AI newsletter, which covers in-depth, project-based tutorials and reflections on building with AI.
    Post | Image


Insights about resharing other people's content patterns

1. Strong Focus on AI Agents, Automation, and “Agentic” Workflows

A recurring theme is the practical application of AI agents and automation in business, marketing, and creative workflows. Many posts highlight how AI agents are transforming traditional processes, from recruitment to customer support, and even creative work.

Examples:

  • Building AI Workforces and Agent Teams (John Doe):
    Discusses how agencies can scale by building teams of AI agents for tasks like SEO, design, sales, and recruiting, rather than relying solely on human labor.
    Post

  • AI-Recruitment System for Agencies (John Doe):
    Explains an automation system that predicts hiring needs before job posts appear, giving agencies a competitive edge.
    Post | Video

  • Certified AI Ops Professional (Dr. John Doe):
    Reflects on the value of learning to scope, validate, and deploy AI agents in real business contexts.
    Post

2. AI in Customer Support, Product, and Marketing

Jane Smith frequently amplifies voices discussing the evolution of roles and workflows as AI becomes more embedded in support, product, and marketing teams.

Examples:

  • AI Agents in Customer Support (Taylor Brown):
    Explores the evolution of support roles as AI agents take on more responsibilities, emphasizing the need for human oversight and strategic thinking.
    Post | Image

  • AI as a System Accelerator, Not a Fix (Chris Johnson):
    Argues that AI scales what already works in marketing and sales, but doesn’t fix broken systems.
    Post

3. Creative and Technical Experimentation

There’s a clear appreciation for posts that showcase creative or technical experimentation with AI, especially those that break down the process or share learnings.

Examples:

  • AI Shoutcasting for Esports (Alex Roe):
    Demonstrates a tech demo where AI generates live commentary for a League of Legends match.
    Post | Video

  • Image Generation and Camera Control (Sam Taylor):
    Shares experiments with ModelX’s tool for changing camera angles in still images.
    Post | Video

4. Most Reshared Authors and Their Content

  • John Doe:
    Focuses on building AI automation systems for agencies, especially in marketing, recruiting, and scaling operations with agent teams.

  • Alex Roe:
    Shares technical demos and product updates around AI agents, SDKs, and creative applications in product design.

  • Chris Johnson:
    Writes about the strategic integration of AI in marketing, the importance of systems thinking, and the realities of scaling with automation.


Overall, Jane Smith’s activity feed is a rich mix of original, hands-on experimentation with AI agents and automation, creative applications in art and design, and a strong engagement with the broader community of builders, marketers, and technical leaders pushing the boundaries of agentic workflows.

Analyses a LinkedIn activity feed to provide insights into the kind of content they create, and the kind of content they love enough to reshare to their own network.

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