Narratives about products you’ve worked on (e.g. Liquidity Dynamics, MGX, OpenText tools), your role, and key outcomes — without breaking confidentiality.
For a while, prompt engineering looked like the secret skill behind Generative AI. If you could phrase your instructions the right way, you could make an LLM behave exactly as you wanted. Many teams treated it like tuning a magic spell: add more instructions, change a few words, and hope the model suddenly becomes accurate. This worked in the early days, mostly because people were experimenting. But once GenAI started moving into real products, the limits became clear. A well