Prompt Engineering and AI Workflow Articles
Technical articles on prompt reliability, file-based AI workflows, evidence boundaries, ChatGPT work modes, and engineering ownership in AI-assisted work.
Core pages
File Upload Is Not Full-File Review
Why AI summaries, edits, extractions, and content drafts can fail before generation begins: file upload, source retrieval, active context, and full-file review are different things.
Vibe Coding and the Loss of Engineering Ownership
Vibe coding is not risky because AI can generate code. The risk starts when AI-generated code is approved without sufficient comprehension, review, security validation, and long-term ownership.
Using ChatGPT Effectively at Work: A Practical Guide
A practical guide to choosing the right ChatGPT layer for work: modes, search, deep research, agent mode, personalization, memory, and projects.
Prompt Engineering Guide for Daily Work (Deep Dive)
A deep dive into why prompts fail in daily work, how to design evidence-bounded prompt specifications (grounded outputs), and how to evaluate them.
Section resources
Context, reusable contracts, related links, and external baselines for this topic.