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OODA Loop Strategy Framework (Agent Reference)

Purpose

Enable fast, iterative decision-making under uncertainty by structuring thinking into OODA loops. Optimize for speed of orientation and quality of decisions, not completeness.

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Core Principles

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Learning Preference: fast.ai Top-Down Approach

Core Philosophy

• Start from end-to-end working systems, not isolated concepts
• Prioritize context and intuition before depth
• Learn via doing, modifying, and experimenting
• Treat understanding as multi-pass refinement, not one-shot clarity

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BM25 & TF-IDF: What Future Me Needs to Remember

The Core Problem

When searching through documents, we need to rank them by relevance. The challenge: how do we mathematically determine which documents best match a query?

TF-IDF: The Foundation

TF-IDF = Term Frequency × Inverse Document Frequency

• TF (Term Frequency): How often a word appears in this document. More occurrences → higher score.

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Agentic Product Lifecycle: Consolidated Report

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1. The Key Shift: Traditional RAG → Naive Agent

Traditional RAG (Vending Machine)
─────────────────────────────────
Query → Retrieve → Generate → Answer

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AI Prompt:

ArgoCD Overview and Purpose

AI Response:

ArgoCD is an open-source, Kubernetes-native continuous delivery (CD) tool that follows the GitOps principles. Here's a brief overview:

Overview

ArgoCD automates the deployment of applications to Kubernetes clusters by treating the desired application state as code stored in Git repositories. This ensures version control and auditability.

Purpose

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A guide to George Polya's "How to Solve It"

Introduction

George Polya (1887-1985) was a Hungarian mathematician and educator who revolutionized our understanding of problem-solving and teaching. While he made significant contributions to mathematics, his most enduring legacy is his insights into how people learn and solve problems. His 1945 book "How to Solve It" has influenced educators across numerous fields, extending far beyond mathematics.

Polya's Teaching Philosophy

Polya's approach centered on three key principles. First, he championed active learning, believing students learn best by discovering solutions themselves rather than being told answers. Second, he emphasized heuristic thinking - the art of guided discovery and learning from experience, viewing problem-solving as a skill that can be developed through practice. Third, he developed sophisticated questionin

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import requests

UNIFIED_FIELDS = ["title", "text"]
CASE_FIELDS = ["summary", "product", "description"]
SOLUTION_FIELDS = [
    "title", "solution_environment", "issue", 
    "solution_rootcause", "solution_diagnosticsteps", 
    "solution_resolution"
]

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