I built an AI-powered LinkedIn content automation system designed to streamline the full content workflow from idea generation to publishing.
The system can research relevant topics, generate LinkedIn posts with AI, format the content, add hashtags, schedule posts, and track performance from one automated workflow.
I connected the automation with tools such as n8n, OpenAI, LinkedIn, Google Sheets, Notion, Slack, and Gmail to create a complete content system that reduces repetitive work and helps maintain a consistent posting schedule.
The goal of this project was to turn LinkedIn content creation into a faster, more organized, and scalable process while keeping human control over the final output.
This project demonstrates my work in AI automation, content generation workflows, API integrations, scheduling systems, and social media automation.
Most automation pipelines break the moment production traffic spikes. Brittle webhooks fail, API rate limits crash running flows, and unhandled LLM hallucinations cause silent data corruption across CRMs and databases.
If your team is losing dozens of hours manually auditing failed runs in n8n, Make, or Zapier, you don't need another patchwork fix—you need hardened systems engineering:
Fault-Tolerant Error Handling: Implement deterministic retries, dead-letter queues, and fallbacks so no webhook or payload is ever lost.
Orchestration Upgrades: Refactor fragile linear chains into stateful, modular multi-agent architectures using LangGraph & CrewAI.
Zero-Timeout Infrastructure: Optimize API execution paths, batch requests, and sanitize inputs/outputs to handle high throughput smoothly.
Full Done-For-You Delivery: Save 1,000+ hours/month by converting chaotic manual backend routines into self-healing, automated pipelines.
Stop letting broken runs stall your operations.
Have an existing workflow that keeps timing out, or need a robust custom agent pipeline built from scratch? Send me an inquiry or hire me directly through my profile.