Blog
This article explains how to analyze Outlook email folders using NotebookLM AI to extract actionable insights from months of conversations. The simple process involves exporting emails as a CSV file, uploading to NotebookLM, and using AI prompts to generate organized summaries with key takeaways, decisions, and timelines. The tool automatically creates detailed analysis tables with verifiable citations linking back to source emails, saving hours of manual review. For recurring needs, the workflow can be automated using N8N to regularly analyze sales communications or project updates.
This blog explains the practical differences between packaged software and custom application software development. It covers cost, flexibility, scalability, integration, and long-term control to help businesses choose the right software approach.
Custom software development focuses on building systems around real business processes instead of forcing teams to adjust to generic tools. This blog explains why off-the-shelf software often becomes restrictive as operations grow. It covers common limitations such as rigid workflows, poor integrations, and rising licensing costs. The content explains how custom-built software improves performance and system stability. It also shows how seamless integration removes duplicate data entry and errors. Scalability is addressed by highlighting how custom systems grow without vendor limits. The blog explores use cases like legacy system modernization and custom ERP solutions.
This podcast episode explores why reverse engineering legacy systems is one of the most overlooked yet critical steps in software modernization. Legacy applications often contain years of undocumented business rules, workflows, and operational decisions that reflect how a company truly runs today. Skipping this discovery phase can lead to broken processes, missing functionality, and costly rework during ERP, CRM, or web application migrations. Doron Farber explains how reverse engineering protects business continuity, reduces modernization risk, and turns system upgrades into confident, well-informed transformations rather than risky experiments.