Generate a LinkedIn research brief with one Slack message

Type a person's name in Slack and get an emailed summary of their recent LinkedIn posts and topics in minutes.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(("someone types a name in Slack")):::human s0["Find LinkedIn profile"]:::svc s1["Pull recent posts"]:::svc s2["AI analyzes themes"]:::svc s3["Email report sent"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"emailed LinkedIn research report"/]:::out pay{{"walk into calls prepared"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceA personResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsSocial Media ManagementEmail AutomationMessaging & NotificationsReporting & AnalyticsWeb Scraping & Data Collection
Connects
SlackLinkedInOpenAIGmail

The problem it solves

Before a call with a client or prospect, you want to know what they've been posting and thinking about lately, but scrolling their LinkedIn profile eats into time you don't have. You end up walking into meetings without knowing what actually matters to them right now.

Who it fits

Customer success managers, account managers, or salespeople who research contacts before calls and meetings.

How it works

  1. Someone types a person's name into a Slack command
  2. The system finds that person's LinkedIn profile and pulls their recent posts
  3. GPT-4.1 analyzes posting patterns, themes, and highlights
  4. A formatted report is built and emailed to the requester
What you get

Meeting prep briefs ready before you call

You walk into every call already knowing what the person has been posting and talking about recently.

What you get

An emailed report summarizing a person's recent LinkedIn activity, themes, and highlights.

What you need

A Slack workspace, a web scraping subscription, an OpenAI API key, and a Gmail account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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