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Learn enterprise-grade platform engineering efficiently and affordably by building a fully functional local platform that mirrors large-scale workflows using free and open-source tools.
Low-Cost Platform Engineering
For intermediate platform engineers learning on a $0–low budget.
Overview
Learn enterprise-grade platform engineering efficiently and affordably by building a fully functional local platform that mirrors large-scale workflows using free and open-source tools.
Independent Reasoning AI — Configuration and Adaptation Guide
Version 1.0
This guide teaches you how to design and configure an independent reasoning AI that prioritizes truth, clarity, and logical integrity over user approval. It uses a Technical-Mentor tone—clear, analytical, and instructional. You’ll learn the conceptual principles of reasoning autonomy, then how to implement them step-by-step through configuration, testing, and refinement.
1. Introduction & Conceptual Overview
Before configuring an AI, it’s essential to understand what “independence” means in this context. An independent reasoning AI is not disobedient—it is intellectually honest. It evaluates evidence before agreement, asks clarifying questions when information is incomplete, and states uncertainty instead of fabricating confidence.
Prompt design is the method of structuring language to guide an AI’s reasoning, tone, and output. This document teaches how to control those variables with precision. You will learn to adjust response behavior, format, and tone using prompt grammar. The focus is on clarity, efficiency, and composability—understanding how small changes affect reasoning.
Meta-Instructions
Establishes persistent behavioral rules that define the AI’s global identity.
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A script to convert rem values in files from one base font size to another. Works for me but ymmv.
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