I keep seeing people give up on AI because it gives them generic junk. 9 times out of 10 it's the prompt. I coach professionals on getting AI actually working for their job, and the same fix solves most of it.
Summary
Advice on improving AI outputs by crafting better prompts and building reusable systems, rather than generic requests.
Similar Articles
Why the world's best AI startups write bad prompts (& how to fix this) (20 minute read)
The article explains why AI startups often have poorly structured prompts with contradictions and ambiguity, and proposes a modular, code-like approach to improve agent quality, reduce regressions, and lower costs.
How I Think About Prompting AI Agents Across the Entire Prompt Hierarchy
The author shares principles for writing effective prompts for AI agents, emphasizing focusing on what truly matters, high-signal communication, actionable instructions, and using established phrasing.
@Zephyr_hg: AI gives me exactly what I want on the first try now. Tested thousands of prompts and found the same 5 components in ev…
The author shares a prompt engineering framework consisting of five components (Role, Task, Context, Format, Tone) claimed to work across major AI models.
@imryven: I clicked "approve" on my own AI ninety-three times out of a hundred without reading a single word of what I was approv…
The author discusses how frequent AI prompts cause users to ignore them, and highlights a team that reduced prompts by 84% through system redesign to eliminate unnecessary options.
Prompting
A user asks AI professionals how to manage prompts efficiently to reduce token waste and subscription costs in daily work.