"You Haven't Implemented AI. You've Created a Graveyard of Prompts": How to Turn One-Off LLM Discoveries Into a Process
Sh0ny
14 июля 20261 min read
In short
A collection of effective prompts and rules for agents eventually turns into unmanaged folklore. An article on Habr explains how to move from accumulating one-off LLM insights to a repeatable process based on skills, agents, and tools for delivering results to the team.
The process of working with LLMs in companies often follows the same stages. First, there are scattered examples of successful prompts in chat rooms, folders containing guidelines for agents, and descriptions of complex migrations. A month later, colleagues—and sometimes even the person who came up with the solution—have to go through the same process all over again because the previous discovery simply can’t be replicated.
Why the “remember where it is” approach stops working
As long as there are only a few projects and teams, knowledge sharing relies on personal communication. But as the number of projects, teams, and development environments grows, this approach breaks down. What becomes important is not the mere existence of a successful prompt, but the ability to turn the discovered solution into a repeatable process.
From prompts to skills and agents
The author of the article describes the transition from one-off LLM discoveries to a systematic approach. This involves creating skills, designing agents, and using a tool that helps deliver these developments to the team, transforming local know-how into a supported infrastructure.