Tag: AI

Get more from the chat drawer — structured filters, the context meter, and conversation history.

AI feels like noise, not leverage — scattered usage, no compounding.

Building reusable AI setups (projects, custom instructions, examples) that improve with use, turning one-time prompt wins into durable productivity systems.

The practice of supplying AI systems with the right background information, in the right format, to produce useful outputs.

A hands-on workshop that moves professionals from casual AI usage to intentional workflow engineering, teaching prompt engineering, context engineering, and compounding setup design using real work.

Systematic methods for measuring AI output quality so you can tell whether your prompts, context, and setups actually work.

Connect Claude or ChatGPT to the Nerd/Noir knowledge vault over Model Context Protocol for search, note retrieval, and resource browsing.

Using AI to help you write, critique, and improve your own prompts, creating a feedback loop for prompt quality.

Thinking deliberately about how you work, surfacing habitual patterns and tacit knowledge so you can identify opportunities for improvement or automation.

The practice of structuring instructions to AI systems for reliable, high-quality outputs through deliberate choices about structure, specificity, and iteration.

Using AI to analyze successful outputs and reverse-engineer the prompts that would produce them, accelerating prompt development.