Tag
prompt engineering
Prompt engineering is now part of the AI stack, not just wording. It covers shared prompt standards, structured outputs, agent loops, long-context handling, and governance concerns that affect error rates, token cost, and auditability in production.
12 articles
How to Switch AI Outputs from Markdown to HTML
Use HTML as the default output format for AI-generated content.
Prompt Engineering Jobs in 2026: Still Worth It?
Prompt engineering is still useful in 2026, but the best jobs now sit inside AI product, engineering, and operations roles.
How to Use OpenAI Sora in 2026
A step-by-step guide to generating and refining AI video with OpenAI Sora in 2026.
Why Prompt Engineering Is Dead for AI Agents
Prompt engineering is the wrong lever for AI agents; context engineering is what makes them reliable.
Prompt Engineering Is Becoming Infrastructure
Springer’s new chapter argues prompt engineering now needs ethics, governance, and domain expertise, not just clever wording.
Why Prompt Standards Matter for AI Work
A new Springer chapter argues prompt engineering needs shared standards to cut token waste, reduce errors, and improve AI accountability.
ChatGPT Ads Are Getting More Uniform
New data from 40,000 ad placements shows ChatGPT ads are becoming shorter, clearer, and more standardized as OpenAI optimizes for conversion.
Prompt Engineering for Agents and Structured Outputs
Prompt engineering gets harder in production: reasoning, long contexts, JSON contracts, and agent loops all need different prompt tactics.
Prompt Engineering, Explained Without the Hype
Prompt engineering turns vague requests into usable AI outputs. AWS breaks down the methods, use cases, and tradeoffs behind better prompts.
Why Prompt Engineering Isn’t Engineering
Prompt design is mostly heuristic, not formal engineering. The evidence shows weak standards, shaky testing, and a lot of guesswork.
Duplicate Prompts Can Lift Accuracy Fast
A Google study found repeating prompts once improved 47 of 70 model-benchmark pairs, with one task jumping from 21% to 97%.
Mastering AI Prompts: A 2026 Guide for Developers
38.5% of AI conversations need refinement in 2026. Discover strategies to streamline your AI interactions and reduce iterations for better outcomes.