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Frameworks, Insights, and Tools

Explore our thinking on AI strategy, implementation methodology, and authentic intelligence.

Featured Frameworks

Technology changes. Being human doesn't. Our frameworks turn philosophy into practical execution.

CEDAR Framework: Context Engineering for Development Automation Reliability

CEDAR White Paper

Context Engineering for Development Automation Reliability

Human disagreement is the real barrier to AI success, not technology. CEDAR provides a systematic approach to achieving the clarity that precedes effective AI collaboration.

Learn why "Atomic Context Engineering" — providing input so precisely there's only one correct prediction — is the foundation of reliable AI outcomes.

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No sales follow-up. Just depth for those who seek it.

AIKIDO Framework: Actionable Intelligence through Knowledge, Information, Data, and Objects

AIKIDO Analysis

Actionable Intelligence from Data Organization

Transform raw, scattered data into meaningful outcomes. AIKIDO Analysis maps six layers — Actionable, Intelligence, Knowledge, Information, Data, Objects — to harness existing momentum rather than fight it.

Inspired by martial arts Aikido: blend with existing data flows instead of forcing new processes.

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Work with what exists, not against it.

Latest Articles

Technology Changes, Being Human Doesn't

Technology Changes, Being Human Doesn't

January 20, 2026

AI amplifies human creativity, not replaces it. After 25 years in tech, here's why being human doesn't change — even when technology does.

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The Amplification Principle: Why AI Rewards Those Who Want to Learn More

The Amplification Principle: Why AI Rewards Those Who Want to Learn More

January 17, 2026

AI doesn't make the case for doing less—it amplifies those who want to do more. Why growth-minded organizations will build lasting competitive advantage in the age of AI.

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The Atomic Context Problem: From Thoughts to Transistors

The Atomic Context Problem: From Thoughts to Transistors

January 17, 2026

What if we could provide input so precisely there's only one correct prediction? Explore how Atomic Context Engineering bridges the gap between human intention and machine execution.

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Why We Named Our AI Pipeline After Philosophers

Why We Named Our AI Pipeline After Philosophers

January 17, 2026

Socrates, Plato, Galileo, Newton — we named our AI pipeline after history's greatest minds because AI development deserves the same rigor they brought to understanding the universe.

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Why Your AI Project Will Fail (And It's Not the Technology)

Why Your AI Project Will Fail (And It's Not the Technology)

January 17, 2026

Human disagreement is the real barrier to AI success, not technology. Learn why organizational alignment must come before automation, and what to do about it.

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AI Isn’t Magic—It’s a Construction Project You Don’t See

AI Isn’t Magic—It’s a Construction Project You Don’t See

April 25, 2025

Discover why AI’s flashy surface hides critical unseen work—and learn practical steps to future-proof your business, upskill teams, and profit from the coming automation wave.

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Whitepapers & Guides

CEDAR: Context Engineering for Development Automation Reliability

CEDAR: Context Engineering for Development Automation Reliability

The pipeline of agents started as 'atomic context engineering' — the idea that smaller, more focused contexts produce more reliable AI outputs. This whitepaper explores the journey from human ideas to delivered code through our CEDAR framework.

The Importance of Automated AI Testing and Tuning

The Importance of Automated AI Testing and Tuning

In today’s competitive marketplace, AI capabilities are increasingly a deciding factor for businesses seeking to differentiate themselves. Yet, deploying AI—especially advanced “autonomous agents” that can make decisions using various tools—carries significant risks if left untested or under-tuned. This document outlines why automated testing and tuning of AI agents is crucial, the potential pitfalls of neglecting it, and how a systematic “AI Tuning Platform” provides the assurance needed for reliable performance.

Platform Capabilities

CloudHarness:DB

AI-focused database integration that connects without replacing. Enhance your existing systems with intelligent data capabilities.

CloudHarness:UI

Rapid UI application platform for building human-AI interfaces. Create intelligent, responsive applications that amplify human capability.

Local AI

Private data stays private. On-premise AI capabilities that give you full control over your sensitive information.

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