🟢 n8n · OpenAI API (GPT-4o Mini + gpt-image-1) · Google Sheets · Google Drive · Telegram Bot API

Client: An automated pipeline for generating posts in the medical cosmetology niche · June 2026

📎 Project Link:

https://docs.google.com/presentation/d/13iz-Fi494XZMaZiJ7kAxrXdE-yaPslvBJEEXdts2VCY/edit?usp=sharing

CONTEXT

A medical cosmetology account on Instagram targeting Ukrainian women aged 20–60 interested in aesthetic and injection procedures: Botox, fillers, mesotherapy, and biorevitalization. Content is the primary driver of new appointment inquiries. The account had no systematic production process — every post was created manually from scratch.

Situation Before the Project

• Every Instagram post required 2–3 hours of manual work: writing copy, sourcing or commissioning images, adapting the tone to the medical niche
• No consistent brand voice — post style varied depending on who was writing and when
• No content buffer or calendar — when the admin was unavailable, publishing stopped entirely
• No image generation process — stock photos or paid commissions were the only options
• Zero automation — every step from idea to published post was manual

PROBLEM STATEMENT

1 — Manual Content Production at Scale

Each post required a full production cycle: writing a caption in professional Ukrainian medical tone, selecting or commissioning a niche-appropriate image, and reviewing for brand consistency. At 2–3 hours per post and a target of daily publishing, content production consumed the majority of available admin time.

2 — No Consistent Brand Voice

Without a structured prompt or system, the tone of posts drifted — medical and informative one day, promotional and vague the next. No defined hook structure, no CTA format, no keyword strategy. Brand recognition suffered as a result.

3 — No Scalable Visual Production