Video summary
How I Earned $10,000+ on LinkedIn: The AI Automation Workflow (Full Guide)
Main summary
Key takeaways
Summary: AI Automation Workflow (Make.com + Gemini + Audiogram → LinkedIn)
The video explains a step-by-step AI automation workflow using Make.com (formerly Integromat) plus Google Sheets, Gemini (Gemini 2.5 Flash), Audiogram (AI image generation), an HTTP file download, and a LinkedIn posting step. The creator claims the automation can publish LinkedIn posts automatically and generate inbound client messages.
Core idea / outcome
Set up a repeating Make.com scenario that:
- Selects two “apps” from a Google Sheet (cycled via incrementing counters).
- Uses Gemini to generate LinkedIn post content (body/description + hashtags) based on the two app names.
- Uses Audiogram to generate an AI image themed around the two app names.
- Downloads the generated image via an HTTP module.
- Publishes everything to LinkedIn using a LinkedIn image post module.
The automation is scheduled to run daily or on specific weekdays, and can support multiple runs per day.
Key product/modules and how they’re used
1) Google Sheets as an app “source list”
- A Google Sheet contains rows of app names (examples mentioned: Gmail, Outlook, Slack, Twitter, Zoom, WhatsApp, Discord, etc.).
- The workflow uses Make.com modules to search rows using filters so that:
- One row is fetched for the first app
- Another row is fetched for the second app
- The creator highlights using logic like: filter the row where an incremented value equals the desired row index/selector.
2) Incrementing counters to rotate app pairs
- Uses Make.com “variable increment” functionality so each scenario run advances numbers (e.g., 1 → 2 → 3 → 4 → 5).
- The scenario appears to include two increment modules (one per app slot).
- It then selects combinations such as:
- App #4 + App #1 (example mentioned)
- Later combinations like Zoom + Slack, WhatsApp + Twilio, Discord + Zoom, etc.
3) Gemini modules for text generation (LinkedIn post)
Gemini (referenced as Gemini 2.5 Flash) generates:
- Automation idea + steps formatted for a LinkedIn post
- Hashtags
- Additional details such as contact/profile info and a LinkedIn profile link
The creator also duplicates part of the Gemini workflow to generate a post title, then maps that title into the LinkedIn module. They emphasize copying prompts “exactly” and mapping Gemini outputs into later steps.
4) Audiogram for AI image creation
- Uses Audiogram to generate an image for the post theme.
- The workflow:
- Builds a prompt that includes the two selected app names
- Selects a model version (“V2” is mentioned)
- Uses a specific resolution (example shown: 1312×736)
- Produces an image URL
- The creator notes prompt trial-and-error and prefers prompts that avoid misspellings or messy outputs.
5) HTTP download + LinkedIn “create image post”
- An HTTP module downloads the image from the Audiogram image URL (HTTP “download a file” / “get a file”-type behavior).
- Then a LinkedIn module creates an image post, mapping:
- Title (from Gemini title output)
- Content (from Gemini main output)
- Image file (from the HTTP download)
Scheduling / activation
After testing, the scenario is turned on and scheduled with options such as:
- Daily runs
- Weekly / specific weekdays (example given: weekdays with a time like 9–10 a.m. European time)
- Potentially multiple runs per day
Claims about results (outcomes shown)
The creator shows that:
- LinkedIn receives a new “fresh post” after the automation runs.
- The posts rotate through different app-pair themes over consecutive runs (example: “Zoom to make to Slack”).
- Earlier, they claim they received client messages from people interested in their business/marketing automation profile.
Main speakers / sources
- Primary speaker/source: The video creator/host (“me”) demonstrating the Make.com + AI automation workflow.
- Tools/services referenced as sources: Make.com, Gemini (Google), Audiogram, Google Sheets, and LinkedIn.