Truality.Mental

  🧭 Setup & Expectations: Personalization, Instructions, and Boundaries This is Mr. Why from Truality.Mental and this is the Working with AI Series — Chapter Six . Previous chapters established that effective human–AI collaboration depends on role clarity, appropriate tool selection, and realistic expectations. This chapter addresses the next structural requirement that determines whether collaboration remains efficient or collapses into confusion: Personalization and instructions. Most AI failures at this stage are not caused by poor capability or bad intent. They are caused by missing boundaries. When users do not clearly define length, scope, accuracy requirements, ethics, or tone, the system is forced to guess. Guessing increases output, variability, and cognitive noise. This chapter explains why setting boundaries up front is not micromanagement, but responsibility. Personalization Is Not Optional Personalization is often misunderstood as preference expression or stylist...

🧭 Setup & Expectations: Choosing the Right AI This is Mr. Why from Truality.Mental and this is the Working with AI Series — Chapter Five. Previous chapters established that role clarity, responsibility, and emotional context are prerequisites for effective human–AI collaboration. This chapter addresses a more practical but equally critical failure point: Using the wrong AI for the job. Not all AI systems are equal. Treating them as interchangeable tools leads directly to frustration, inefficiency, and misaligned outcomes. Setup matters. Expectations matter. Capability matters. Choosing the wrong system guarantees friction before work even begins. Not All AIs Are Equal AI is not a single capability. It is a spectrum of architectures, training approaches, and design priorities. Some systems are optimized for: structured reasoning long-context retention tone control instruction-following creative generation Others are optimized for: speed short answers narrow tasks retrieval over rea...