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Case study 07 · Marketing
AI Content Engine
Trending news → brand-voice caption → generated image → one-click approval → Instagram & LinkedIn.
- n8n
- GPT-4o
- LangChain
- Image generation API
- Instagram API
- LinkedIn API
- per post, from research to published
- Hours → 1 click
- per post, from research to published
The problem
Researching, writing, designing and posting took hours per post, so the brand posted rarely and inconsistently.
What we built
- Sources and ranks trending industry news daily
- Drafts captions and hashtags in the brand's voice
- Generates a matching image
- Queues everything for human review — one click to approve
- Schedules and publishes to Instagram and LinkedIn
How it flows
From trigger to done, step by step.
- Daily scheduleNews sources scanned
- Ranks topicsWhat matters today
- Writes captionBrand voice + hashtags
- Generates imageOn-brand visual
- 1-click approvalHuman stays in control
- PublishedInstagram + LinkedIn
What changed
- ✓Consistent posting without a content team
- ✓A human approves everything that goes out
Try it yourself
Infinityy OS runs the same kind of pipeline, live — with fictional data.
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