AI Ethics

Explore practical guides and implementation patterns for this topic.

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AI Fundamentals

Agentforce: How the Prompt Gets Built

💬 In plain words: Your instructions are not sent to the model. They are executed to produce a prompt, which is then sent. Everything your logic decided is already fixed by the time the model reads a single word. 📌 Example: By the time the model is asked, the outage status has been fetched, stored in a variable, checked, and turned into the sentence "Tell the customer power is expected back within two hours." The model cannot reopen that decision. 🎬 Real-Life Example: The Restore Time That Was Never Promised The Old/Bad Way: A team wrote: "If the outage is major, tell the customer a restore estimate, but only if it is confirmed." The agent regularly promised times that were not confirmed. Why this fails: That is one English sentence asking the model to make a judgement call. The model weighed it against everything else in the prompt and sometimes got it wrong. Nothing was ever fixed before it was asked. ...

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The Observer

The Ego in the Machine: Is Our Need for Validation Creating an Existential Threat?

💬 In plain words: Technology has shifted from being a tool to acting as a mirror. As we train AI models using data driven by our need for validation and safety, we risk encoding human ego into machine logic. Technology has always been a bridge, but today, it feels more like a mirror. With the rapid rise of AI , we are seeing things enter our lives and leave them at a pace we can barely track. To understand where this is going, we first have to understand how technology actually impacts the core of who we are. The Survivalist vs. The Ego Our minds are biologically wired for one thing: survival . We are designed to handle the worst-case scenario, an ancient instinct gifted to us by nature. We consider ourselves conscious decision-makers, but a critical question remains: Who is really making the call?

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