Surviving the 9 to 5

Why PDFs Sabotage Your AI Pipeline

Optimal File Formats for RAG Systems, Why Word is the less worse choice than PDF for AI Ingestion when best options are not available, Why PDFs Struggle in AI Systems, The Role of Headings in AI Vector Search, How AI...

This audio episode walks you through the RAG systems—covering file formats, chunking strategies, retrieval parameters, and token conversions—so I can absorb the concepts through audio. - Break down complex token math...

vector search is a specific retrieval mechanism that identifies information through semantic meaning rather than simple word matches. However, it emphasizes that this technology is entirely distinct from chunking...

This audio episode explains how to structure system prompts for a reliable catch-all fallback agent. - Add clear role boundaries to ensure the fallback agent remains a secondary safety net. - Provide strategies for...

This audio episode explains why sub agent pipelines degrade quality and lose narrative context coherence. - Discuss why monolithic models maintain better cross-lingual context than fragmented sub-agent chains...

Briefly explains the structural failures of sub-agent pipelines when used for complex, narrative-based tasks like generating bilingual meeting minutes .

This video episode gives you a thorough, practical explanation of how to implement a sub-agent architecture using a minutes-creation workflow as the example. This includes concrete, step-by-step instructions.

This audio episode walks you through sub-agents: what they are, use cases, best practices, and--just as importantly--caveats and watchouts (limitations, token costs, when not to use them, etc.). Then give you a...

This video episode walks you through sub-agents: what are they? When should you use them instead of a single agent? Best practices? And what should you watch out for?

this episode explores the strategic development of an AI-driven quality assurance system for a team handling diverse professional documents.

Build a Custom AI Document Reviewer

You built a custom Copilot agent at work to translate source files (PowerPoint, Excel, Word, and other supported formats) from Japanese to English. Despite explicitly instructing the agent to preserve the original file...

To understand Black Duck Polaris in the simplest terms, think of it as an automated safety inspector for software. When a company builds an app or a website, Polaris acts like a security guard that checks every "brick...

To understand Black Duck Polaris in the simplest terms, think of it as an automated safety inspector for software. When a company builds an app or a website, Polaris acts like a security guard that checks every "brick...