Business owners, if you could automate one repetitive task in your week tomorrow, what would it b...

Business owners, if you could automate one repetitive task in your week tomorrow, what would it b...Business owners, if you could automate one repetitive task in your week tomorrow, what would it b...

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Fatima Farooq

• Aug 17

Business owners, if you could automate one repetitive task in your week tomorrow, what would it be?

Maybe it’s:

→ Following up with leads → Sending client emails → Updating spreadsheets → Scheduling meetings → Creating reports → Moving data between tools → Posting content

A lot of the work that eats up your time isn’t necessarily difficult, it’s just repetitive.

And those are often the best processes to automate with the right tools, workflows, and AI.

The interesting part is that every business has a different “time waster.”

So what’s yours?

What’s the one repetitive task you’d happily never do manually again?

AI Automation Python Replit

Denys Dumynskyi

pro

• Aug 19

MyCarrier: DevOps & Cloud Transformation for Scalable Logistics SaaS

Preview description: We helped MyCarrier move toward cloud-ready DevOps: adapted the system for microservices, implemented CI/CD and test automation, moved workloads to Azure, achieved 99.9% availability, decreased update delivery time to minutes.

Full description:

Problem MyCarrier was growing fast, and the monolithic codebase became harder and more expensive to maintain. It was heavy, resource-consuming, and less suitable for the client’s long-term scaling plans. The team also needed faster delivery processes, but changes in the codebase and cloud migration had to stay unnoticed by users. Their logistics workflows could not be interrupted.

Solution IT Craft aligned the project infrastructure with a microservices architecture and prepared the system for cloud operation. The team started with a technical audit and developed the migration strategy consisting of 20-28 items. The process was divided into pre-migration, migration, and post-migration phases, thus the product could keep running while infrastructure changed step by step.

The team moved non-critical standalone jobs to the cloud, connected virtual machines to Azure Storage Account, moved logging to MongoDB Atlas, and transferred user data and related processes to the cloud. New app functionality was released as microservices. IT Craft also designed and fine-tuned a CI/CD pipeline, automated infrastructure deployments, and reduced update delivery time through regression test automation.

Results · Achieved 99.9% system availability. · Maintained high fault tolerance using three shared clusters. · Reduced update delivery time from hours to minutes. · Enabled Sprint focus changes every two weeks based on client priorities.

Tech Stack: · Azure Cloud · MongoDB Atlas · Azure SQL · Azure App Service · Azure Functions · Azure Storage Account

Cloud Infrastructure DevOps Azure DevOps Automation Engineering Azure SQL Database MongoDB

Nancy Power

• Aug 19

This portfolio sample shows how I evaluate AI agents and automated workflows to find reliability problems, broken logic, and weak edge-case handling. I review whether the system completes the intended task, uses tools correctly, follows instructions, handles ambiguity, and produces an output that can actually be trusted.

The work focuses on identifying failure points before they become real user problems, including incomplete task execution, incorrect assumptions, workflow dead ends, hallucinations, and verification gaps. This is a portfolio demonstration of my AI agent evaluation and red-teaming work. No confidential client information is included.