I’m Amara Kashaf, an AI Engineer specializing in automation and intelligent chatbot development. I have hands-on experience building scalable solutions using modern AI tools and frameworks, and I enjoy turning complex problems into efficient, results-driven systems.
I thrive on designing data pipelines, streamlining workflows, and delivering practical AI-powered outcomes for real-world business challenges. I’m passionate about applying AI to optimize processes and create delightful user experiences.
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Consistently publishing content across multiple social media platforms like Facebook and Instagram is essential for maintaining visibility and engagement, but doing it manually can be time-consuming and unreliable. Posts may fail due to API errors, network issues, or platform restrictions, and without proper monitoring, these failures often go unnoticed. This workflow is designed to solve that problem by fully automating the publishing process while ensuring reliability, tracking, and error recovery.
The workflow begins with a scheduled trigger that initiates the posting process at predefined intervals. It first initializes variables required for execution, ensuring that all necessary data such as captions, media, and retry counters are properly set. The system then attempts to create and publish a post on Facebook, followed by creating and publishing the corresponding content on Instagram using the appropriate API endpoints.
Once the publishing steps are executed, the workflow checks whether the posts were successfully published. If the operation is successful, the system logs the activity into Google Sheets, providing a clear record of successful posts for tracking and reporting purposes. This ensures transparency and allows performance monitoring over time.
If a failure is detected at any stage, the workflow intelligently handles it using a retry mechanism. It increments a retry counter and evaluates whether the retry limit has been reached. If retries are still allowed, the system waits for a defined interval before attempting the process again, reducing the risk of repeated failures due to temporary issues like rate limits or connectivity problems.
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