Is your AI app suffering from "Goldfish Memory" or making up facts?

In this episode of The Breakdown Podcast, we tackle the biggest hurdle in deploying reliable AI tools: Hallucinations. We unpack the RAG-Lite Protocol, a streamlined architectural pattern from the unreleased manifesto "Boring Problems, Big Money." Discover why you don't need expensive vector databases like Pinecone to build intelligent, context-aware systems in Google Apps Script.

We explain how to transition from a "prompt engineer" to a "Context Architect" by building a "second brain" for your AI that lives entirely within your existing Google ecosystem.

In this episode you’ll discover

• The Goldfish Problem – Why LLMs forget your business rules instantly and how "Context Injection" solves this without retraining the model.

• The Vector DB Trap – Why over-engineering with complex vector databases kills your profit margins and how to achieve 90% of the utility using simple arrays and text search.

• Hallucination Defense – How to force the AI to answer "I don't know" instead of lying by restricting it to a specific, uploaded knowledge base.

• Token Economics – How to drastically reduce your API costs by filtering data before you send it to the AI, rather than stuffing the entire context window.

Stop paying for expensive infrastructure you don't need. Listen now to learn how to give your AI perfect recall for free.