Every chat feels like a conversation. It isn’t. Your AI assistant is a goldfish holding a photograph of you. It forgets you the instant you hit Enter. Then a script slides the photograph, the entire history, and a small mountain of standing instructions back in front of it, and it reads the whole pile againContinue reading “Why Your AI Assistant Acts Like a Goldfish”
Tag Archives: llm
“The Token Bill You Didn’t Know You Were Running Up”
Three habits that quietly inflate your AI bill AI does not charge by the question. It charges by the context. Every turn you send re-tokenizes the entire conversation above it: system prompt, memories, style preferences, every previous message, every previous response. Turn one is cheap. Turn twenty is paying for turns one through nineteen, plusContinue reading ““The Token Bill You Didn’t Know You Were Running Up””
Congratulations, You Paid Twice!
The first consumer protection AI doesn’t have You ask a question. The model answers with total confidence. You point out it’s wrong. It agrees enthusiastically. “You’re absolutely right.” Then it generates the corrected answer. Congratulations. You just paid twice. Once for the mistake, once for the apology. No other product works this way. Or soContinue reading “Congratulations, You Paid Twice!”
Podcast Episode: AI Quality And Cloud Support
Pip: Welcome to Azure Advice, where the code is clean, the failures are fractal, and Tuesday is always a production incident. Mara: Christoph Corder has two posts out this week — one on why AI-generated code breaks in ways that look nothing like human mistakes, and one on the forensic discipline cloud support quietly inventedContinue reading “Podcast Episode: AI Quality And Cloud Support”
Why AI Code Review Needs a New Approach
You Can’t Smell Bad AI Code What if the tool saving you the most time is also creating problems you’re not equipped to find? That’s not a hypothetical. That’s Tuesday. For years, experienced engineers developed a sense for bad code. It had tells. Inconsistent naming. Shortcuts in the wrong places. Comments that explained what theContinue reading “Why AI Code Review Needs a New Approach”
Mastering AI: Effective Strategies for Critical Analysis
Pip: Welcome to Azure Advice, where we ask the hard questions — like whether the AI you're asking hard questions of is actually giving you hard answers. Mara: Today we're working through a piece by Christoph Corder on how to actively challenge AI reasoning rather than accept its first output — the method behind aContinue reading “Mastering AI: Effective Strategies for Critical Analysis”
Podcast Episode: AI And Cloud Diagnostics
Pip: Welcome to Azure Advice, where the cloud is always sunny and the packet captures are always someone else’s problem. Mara: Christoph Corder has been busy — this episode covers how AI systems are built to orchestrate rather than just respond, and how cloud performance problems hide in plain sight, from loopback connections to memoryContinue reading “Podcast Episode: AI And Cloud Diagnostics”
Podcast Episode: Debugging Production Failures
Pip: Welcome to Azure Advice — where the authentication is broken, the memory is leaking, and the connection pool is set to self-destruct every thirty seconds. Christoph Corder has been busy. Mara: He has. Today we're covering authentication failures at the protocol level, memory leaks driven by a cascade of zombie processes, a health checkContinue reading “Podcast Episode: Debugging Production Failures”
Understanding AI’s Data Bias and Model Collapse
There is a quiet problem building at the foundation of modern AI, and it does not get nearly enough attention outside of research circles. It has two parts, and understanding both of them matters whether you are building AI systems, using them, or just trying to figure out how much to trust their output. PartContinue reading “Understanding AI’s Data Bias and Model Collapse”
Getting Started with Compound AI: A Practical Guide for CTOs
After publishing my article on the compound AI revolution, I received dozens of messages from CTOs and engineering leaders asking the same question: “This sounds transformative, but where do I actually start?” It’s the right question. Understanding that compound AI systems represent the future is one thing. Building one that delivers real business value isContinue reading “Getting Started with Compound AI: A Practical Guide for CTOs”
Azure Advice 