Field notes from a journey to AI.

All adversarial-prompting agentic-ai ai-agents ai-at-work ai-coding-tools ai-critical-thinking ai-data-leaks ai-data-privacy ai-decision-making ai-fabrication ai-for-non-technical ai-for-non-technical-professionals ai-foundations ai-governance ai-guardrails ai-hallucination ai-hallucinations ai-hype-cycle ai-in-regulated-industries ai-judgment ai-literacy ai-model-selection ai-oversight ai-productivity ai-review-fatigue ai-roi ai-skeptic ai-skepticism ai-sparring-partner ai-task-selection ai-vs-search-engine ai-workflow-tool automation-complacency blind-spot-audit chain-of-thought chatgpt chatgpt-data-policy claude-models claude-opus claude-tiers cloud-llm code-comprehension cognitive-bias cognitive-offloading cognitive-overload confidential-data confirmation-bias context-engineering context-rot context-window critical-thinking data-retention debugging-skills decision-making delegation developer-productivity effective-prompting enterprise-ai few-shot-prompting generative-ai generative-ai-safety hidden-cost-ai human-in-the-loop human-intelligence in-context-learning is-ai-overhyped junior-developers large-language-models llm-hallucination llm-reasoning lost-in-the-middle next-token-prediction non-technical-professionals one-shot-prompting output-validation personal-essay privacy-risks prompt-engineering prompt-grounding prompting prompting-techniques rag regulated-industries repeatable-tasks responsible-ai responsible-ai-use scope-reduction skill-development source-citing step-by-step-reasoning time-savings tool-class training-opt-out verification-tax what-not-to-share-with-chatgpt when-not-to-use-ai when-to-use-ai working-professionals workplace-ai zero-shot-prompting