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Senior engineers leave and critical system knowledge disappears. Before AI can safely change your codebase, you need a structured understanding of what it actually is and why.
Carter Holmes
April 9, 2026

What Your Codebase Knows That Your Team Forgot

When a senior engineer leaves, the context they carried walks out with them. AI tools operating on codebases without that context make dangerous assumptions. This article  breaks down why system understanding is the prerequisite for AI-assisted development, and what technical leaders should do before pointing any AI tool at their code.

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AI generates code in hours, not weeks. That shifts the bottleneck to requirements, acceptance criteria, and governance. Here's how the PM role is changing and what to do about it.
Carter Holmes
April 6, 2026

What Happens to the Product Manager When AI Builds the Code

When AI handles implementation, the PM role shifts from requester to governor. Requirements become the product, feedback loops compress from sprints to days, and acceptance criteria become functional specifications. This article breaks down what changes, what the role looks like in practice, and five concrete steps PMs can take now to prepare.

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Executives drown in dashboards but still lack a single view of the business. Here’s why fragmented data models drift from the business model—and how knowledge models create clarity, consistency, and trust in enterprise analytics.
David Fishman
September 2, 2025

How Your Business Model Got Lost in Your Data Model – and where to find it

Dashboards don’t align, AI misleads, and ERP models drift from the business itself. Knowledge models restore clarity by encoding shared meaning at the core of analytics.

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Most AI agents are over-engineered for real business needs. Learn how SMBs can save costs and reduce risks by matching automation complexity to actual requirements with human-in-the-loop strategies.
Nick Chase
September 2, 2025

The AI Agent Complexity Trap: A Decision Framework for SMBs

A guide to building AI agents that fit business needs—simple, reliable, and cost-effective instead of over-engineered.

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A step-by-step framework helping business leaders choose the right AI approach—from automation to foundation models—while ensuring governance, compliance, and sustainable business value.
Nick Chase
September 1, 2025

The AI Implementation Spectrum: A Decision Framework for Business Leaders

A practical decision framework to guide AI adoption, align technology with business needs, and build governance for long-term success.

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Discover why small language models deliver faster, cheaper, and more secure AI solutions for business. Learn how right-sizing AI creates efficiency, privacy, and sustainable competitive advantage
Nick Chase
August 27, 2025

Right-Sized AI: When Small Language Models Beat the Giants

Smaller AI models can outperform industry giants by offering speed, efficiency, privacy, and adaptability for real-world business use.

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CloudGeometry integrates AI agents directly into Slack, cutting friction and boosting productivity with HR, content, and sales enablement automation.
Carter Holmes
August 21, 2025

Why We Put AI Agents Where Our Team Already Lives: CloudGeometry's AI-First Transformation

Discover how CloudGeometry boosts productivity by embedding AI agents directly in Slack, streamlining HR, content, and sales operations.

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Discover how AWS Bedrock Agents help automate AI model documentation at scale. Part 1 of this series explores their role in solving real-world challenges in model openness.
Nick Chase
July 31, 2025

What are AWS Bedrock Agents? Documenting model openness in 3 parts: Part 1, Introduction

Explore how AWS Bedrock Agents help solve the complex challenge of maintaining up-to-date AI model data at scale using open-source tools like Mistral.

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Not all technical debt is created equal. Learn how to distinguish revenue-blocking strategic debt from engineering noise—and prioritize tech investments that actually grow the business.
Nick Chase
July 30, 2025

Strategic Debt vs. Stupid Debt: The Prioritization Framework Your Board Needs

Stop treating all tech debt equally. Learn how to identify and eliminate the technical constraints that are blocking revenue, deals, and innovation.

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AI success isn’t about buying tools — it’s about building long-term capability. Learn why real transformation means owning your AI agent platform, not renting “smart” features from vendors.
Michael Philip
July 28, 2025

AI Business Transformation Isn’t a Leap, It’s a Natural Evolution

Why real AI transformation means evolving your systems — not just adding AI features. Discover why agent platforms are becoming the new enterprise core.

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Confused by AI agents? Learn the 5 types—Simple Reflex to Learning Agents—and how to match the right one to your business challenges. Avoid costly mistakes with this strategic guide.
Nick Chase
July 23, 2025

5 Types of AI Agents Every Business Leader Should Understand

Avoid AI overkill (or underkill). This guide breaks down the 5 AI agent types every business leader should understand—and when to use each one for maximum impact.

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Discover how new AI agent protocols—Model Context Protocol (MCP), Agent2Agent (A2A), and Networked Agents and Decentralized AI (NANDA)—are redefining the future of AI infrastructure. Learn why adopting these standards is critical for scalable, composable,
Nick Chase
June 30, 2025

Building AI Agent Infrastructure: MCP, A2A, NANDA, and the New Web Stack

Explore how MCP, A2A, and NANDA are setting new standards for scalable, composable, and interoperable AI agent infrastructure, ushering in the next era of the intelligent web stack.

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Organizations are investing millions in fast dashboards, yet data science insights are slowing down. Discover why rigid infrastructure constrains discovery and how flexible data platforms can drive true innovation.
Nick Chase
June 27, 2025

Why Your Data Scientist Needs a "Flexible Data Canvas," Not Just an Optimized Dashboard

Faster dashboards don’t mean faster discoveries. Discover why the key to true data science innovation is flexible, discovery-driven infrastructure—not just optimized reporting tools.

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Discover how anti-fragile AI systems turn market chaos into opportunity. Learn key principles, architecture, and business strategies for building AI that improves during disruption—transforming uncertainty into a sustainable competitive advantage.
Nick Chase
June 25, 2025

The "Anti-Fragile" AI Agent: Building Systems That Thrive on Disruption, Not Just Efficiency

Unlock the power of anti-fragile AI: Build intelligent systems that grow stronger with disruption, not just survive it. Explore strategies, principles, and a roadmap for deploying adaptive AI in your organization.

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This course explores the foundational components required to design and deploy effective AI agents. It walks through the technology stack—from data handling to LLM integration—and highlights real-world use cases and infrastructure considerations in modern AI development.
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Balancing Kubernetes Reliability vs. Cost Optimization in the Real World  

Alex Ulyanov
CTO
Anton Weiss
Chief Evangelist
PerfectScale
Is it true that artificial intelligence can make business intelligence a little bit more... well, intelligent? The challenge: Get system data from one business process to tell you more about your other systems and business processes — using reports and dashboards you already have (even unstructured data). Rewatch experts Rob Giardina of Claritype Founder and Nick Chase of Cloudgeometry in a deep dive unlock the power of LLMs with a Standardized Data Model.
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AI for Better BI with the Data you Already Have

Nick Chase
Chief AI Officer
Rob Giardina
Founder
Claritype
This three-part series introduces the principles of securing AI systems. It covers foundational AI security concepts, provides a strategic overview of secure GenAI system deployment, and addresses future-proofing techniques to ensure safe and resilient AI architectures.
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Foundations and Strategies for AI Security

Nick Chase
Chief AI Officer
David Fishman
VP Products & Services

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Get your data, applications, and infrastructure ready for the AI revolution

Take your DevOps practices to the next level with Cloud Native & Platform Engineering

Take your DevOps practices to the next level with Cloud Native & Platform Engineering