CASE STUDY 12

Fully Automated Content Engine

Content engine producing 5-10 short-form videos per day for brand awareness, with zero human involvement after launch.

Industry: Media / Social Timeline: 5 weeks AI AgentsWorkflowsContent
Fully Automated Content Engine — architecture diagram
SYSTEM ARCHITECTURE

The pain

The team wanted high-volume short-form video output for organic brand exposure. Their existing process required a content writer, a video editor, and a publishing coordinator. Output capped at ~6 videos per week.

They wanted to 10x output without adding headcount.

They needed an end-to-end pipeline that generated topic ideas, wrote scripts, produced video, applied branding, and published to Facebook and Instagram on a schedule.

What I built

Trend monitor

Pulls signal from search trends and seed keyword lists.

Script generator

DeepSeek with brand voice guardrails.

Approval gate

Rule-based filter against safety and brand rules before production.

Image + avatar generator

Higgsfield AI and Jimeng.

Video assembler

Avatar + script + subtitles + brand logo into final clip.

Optional human spot-check

Approval queue before posting.

Posting orchestrator

Facebook + Instagram Graph APIs with auto-scheduling.

Performance log

Posting time, format, and engagement back into the database.

Outcome

50+/wk
Videos, up from 6
$1.20
Cost per video, down from $48
0
Human ops after day 30
4.2x
Follower-growth acceleration

Stack

n8nDeepSeekChatGPTHiggsfield AIJimengFacebook Graph APIInstagram APIJavaScriptPython
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