Can I Trust AI Data Analysis in Front of a Client?
AI data analysis is fast, but a wrong answer looks just like a right one. Here is how to catch errors before a client does and report with confidence.
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MCP vs RAG: why ask-and-pray retrieval fails reports
MCP vs RAG explained for business reporting. Why vector retrieval hallucinates your numbers, and why MCP's live queries fix what RAG can't.
Fine-Tuning vs Frontier AI: Own a Smaller, Better Model
Nervous about feeding client data to ChatGPT? Here's when fine-tuning a private AI model beats renting a frontier one, and when it just wastes money.
Why Your Reports Don't Lead to Decisions
You have dashboards, exports and spreadsheets and still can't decide. Here's why data-driven decision making stalls, and how to turn reports into action.
Clean Data: The Only AI Prerequisite That Matters
Forget the model and the platform. Data quality for AI is the prerequisite that decides whether your automation works. Here's how to tell if your data is ready.