Posting every day is the task every brand owner means to do and doesn't. For Brillianteers I built a pipeline that makes a new post each day from our real product photos and asks me yes or no on Telegram.

Brillianteers sells engagement rings and fine jewelry. Social isn't where most of its sales come from, but an empty feed hurts trust when a buyer checks you out before spending thousands.
The brand already had good product photos. It just didn't have anyone with time to turn them into posts every day.
| Brand | Brillianteers |
| Channels | Instagram and Facebook |
| Built with | Make.com, Gemini image and text models, Amazon S3, Telegram, a posting API |
| Runs on | The cloud, no computer needed |
| Human step | One tap to approve |
| Step | What happens |
|---|---|
| 01. Pick | The next product in the rotation. |
| 02. Restyle | AI puts the real photo in a new scene. |
| 03. Write | AI writes the caption in the brand voice. |
| 04. Approve | I tap Approve or Regenerate on Telegram. |
| 05. Publish | The approved post goes live. |
Sixty minutes on your business. I tell you what I would automate first and what I would leave alone.
I learn how your business actually runs, then rank what to automate by hours saved and risk.
We start with the system that saves the most time, with a person approving anything that touches money.
You get documentation and training, or I keep running and improving it monthly.

I run my own ecommerce brands, so every system I build has to hold up on a busy Monday, not just in a demo. I build the same kind of system for other businesses: I learn how yours works, decide what to automate, and build it.
Straight answers, from a system that runs every day.
Yes, through a posting service connected to Make.com or a similar tool. I always keep a human approval step before anything goes out.
It shouldn't, and that's the main thing to guard. The product photo is the input and the model only changes the scene and styling. Anything that alters the product gets regenerated.
No. This one runs fully in the cloud.
Same operator behind all of them.
An app that reads every email, looks up the real order and factory status, and leaves a draft reply in Gmail. Does the work of one to two full-time reps.
Case study →New orders to the factory sheet, print files found or generated at 4K, statuses and tracking synced. Replaces a full-time order processing role.
Case study →AI systems plus Meta, Google and Klaviyo accounts, with real numbers.
See all →Sixty minutes, one-on-one, free. Bring the jobs that eat your week and I'll tell you what I'd automate first.