Write a LinkedIn post with sources people trust

The LinkedIn posts that did best on your topic this month, fresh data to cite from the last weeks, then a post in your voice with a visual.

Steps

At most, per call

A sourced LinkedIn post makes one point, backs it with recent data, and borrows structure from posts that work. With Agentik, your AI reads this month’s top posts on the topic through ScrapeCreators, finds recent studies to cite with Exa, and makes two visual options with fal.

Step 1: Read the best posts on the topic
ScrapeCreators finds the best posts on the topic this month and reads five of them in full.
- LinkedIn post searchScrapeCreators · 2 searches$0.0038
- LinkedIn postScrapeCreators · 5 posts$0.0094
Step 2: Find fresh data
Exa searches recent studies and data published in the last months, with their links.
- Exa web searchExa · 2 searches$0.05
Step 3: Make the visuals
Ideogram 3 makes two visuals for the post, one image per call, so you can pick one.
- Ideogram 3 text to imagefal.ai · 2 images$0.12
Step 4: Write the post
Your AI writes the post in your voice with its sources and two alternative hooks.
Your agent does this part, with no tool call.

Cost of the example

At most $0.18one run

2 LinkedIn searches, 5 posts read, 2 fresh-data searches, 2 visuals.

Give this to your agent

Use my connected Agentik MCP server for this job: linkedin post with sources.

Write a LinkedIn post on a topic, with sources. First ask me for the topic, my point of view and two of my past posts for my voice.

Find the best posts on the topic this month with scrapecreators/get-v1-linkedin-search-posts and read the five best with scrapecreators/get-v1-linkedin-post. Find recent data and studies to cite with exa/search. Create two visual options with fal/ideogram-v3.

Finish with the post in my voice, the sources it cites, two alternative hooks and the better visual.

Before running anything, inspect each tool with inspect_tool, ask me for any input you don’t have instead of inventing it, and tell me the total price. Wait for my go. At the end, tell me what Agentik charged.

3 providers, one connection

What you get

A LinkedIn post with sources and a visual.

You provide

The topic
Your point of view
Two of your past posts

Your agent returns

What top posts on the topic do
Fresh sources to cite
A post in your voice with two alternative hooks
Two visuals to choose from

LinkedIn postExample layout

Hook
Point and data
Sources
Visual

Placeholders. Your rows come from your run.

Each provider does one part

No single provider covers this job. Your agent calls each one for its part, from one connection.

Good to know

Your AI quotes sources it read and links them; check numbers before you post.
Top posts show what works for others, not a promise of reach.

When to use something else

To schedule posts and track LinkedIn analytics, use a LinkedIn scheduling tool. This playbook writes one post with sources you can check.

Questions

Will it sound like me?

Give your agent two of your past posts and it matches their voice.

Are the numbers checked?

Your AI cites only sources it read and links them; check each number before you post.

What does the example cost?

At most $0.18, reserved before each call and settled at the measured usage.

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