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Research and frameworks on AI governance, context engineering, and intelligent systems.

A weekend build sprint — from whiteboard to shipped open source
Context EngineeringCase Study

A Year of Thinking, a Weekend of Building: How ContextNest Shipped

I spent a year writing about the context governance gap in enterprise AI. Then I had a window to do something about it. Here's what we built in 48 hours — and why it matters.

8 min readApplied
AI search results showing cited sources — the new battleground for visibility
Context EngineeringField Note

GEO: How to Get Cited by AI (A Practitioner's Playbook)

SEO got you into ten blue links. GEO gets you into the answer. Here's what actually works — backed by research, tested in production.

9 min readApplied
A chess board symbolizing strategic thinking and the shift from control to value in AI-assisted development
PerspectiveCase Study

Letting Go After Control: What Building a Chess Platform With AI Taught Me About Value

Reflecting on building a chess platform with AI reveals how software abundance shifts what matters from control and specification to judgment and value.

2 min readOperational
Diagram representing the flow of context into AI systems with interconnected data pipelines
Context EngineeringFramework

Context Engineering as a Strategic Imperative

Context engineering goes beyond prompt engineering to encompass the entire information flow into AI models, making it a strategic imperative for enterprises.

2 min readApplied
A compliance framework diagram showing interconnected governance pillars for responsible AI
AI GovernanceFramework

Governance and Ethics: Navigating AI Frameworks and Compliance

A roadmap for executives navigating AI governance frameworks including OECD, UNESCO, NIST AI RMF, ISO 42001, and IEEE 7000 for responsible AI deployment.

3 min readApplied
A warning sign overlaying code symbolizing the hidden risks of unchecked AI-generated software
Vibe CodingAnalysis

The Dark Side of Vibe Coding: Quality, Security and Expertise

As vibe coding gains traction, hidden risks emerge around security vulnerabilities, privacy breaches, compliance gaps and mounting technical debt.

2 min readApplied
An open box releasing streams of code symbolizing the promise and peril of democratized software development
Vibe CodingAnalysis

Vibe Coding: Democratizing Software -- or Opening Pandora's Box?

Vibe coding promises to democratize software development by letting anyone build apps with AI, but enterprises must navigate real risks to harness it.

3 min readApplied
A comparison chart of AI agent frameworks with interconnected nodes representing enterprise decision criteria
Agentic AIArchitecture

Choosing the Right Agent Framework for Your Enterprise

A strategic guide for selecting AI agent frameworks in 2025, comparing AG2, CrewAI, LangChain, OpenAI Agents SDK and Google ADK for enterprise use.

2 min readApplied
A sprawling network of interconnected tools and APIs illustrating the complexity of unmanaged agent integrations
Agentic AIAnalysis

Tool Explosion and the Hidden Costs of Agentic AI

As agent projects scale, tool explosion creates hidden costs in maintenance, security and agility. A control plane is essential for sustainable agentic AI.

3 min readApplied
A network of specialized AI agents collaborating on complex tasks through coordinated intelligence
Agentic AIArchitecture

Multi-Agent Systems: Scaling Intelligence Through Specialization

Why complex enterprise tasks require multi-agent systems with specialization, coordination, and resilience rather than a single general-purpose AI agent.

2 min readConcept
A centralized control plane connecting multiple AI agents to standardized tool interfaces
Agentic AIArchitecture

From Prompts to Protocols: The Need for a Control Plane

Why enterprise AI needs a control plane and how the Model Context Protocol (MCP) is emerging as the universal standard for agentic tool integration.

3 min readApplied
Four architectural pillars representing the core strategies of context engineering for AI systems
Context EngineeringFramework

The Four Pillars of Context Engineering

Unpack the four core strategies of context engineering -- Writing, Selecting, Compressing, and Isolating -- and how they apply to enterprise AI use cases.

4 min readOperational
A garden blueprint overlaid with an AI agent system design, illustrating the parallels between gardening and agentic design
PerspectiveField Note

Agentic AI is like Gardening - Probably...

Drawing parallels between gardening and agentic AI design -- from planning and selection to iteration, flexibility, and the patience both disciplines demand.

4 min readConcept
The European Union flag overlaid with AI circuit patterns symbolizing the intersection of regulation and artificial intelligence
AI GovernanceAnalysis

European AI Act - The Good, The Bad, and The Ugly

An analysis of the EU AI Act's risk-based framework, its impact on major AI companies, unprecedented fines, and the emerging compliance industry.

6 min readApplied
The Asia Culture Center in Gwangju, South Korea, blending historical significance with modern architectural innovation
PerspectiveField Note

Embracing the Intersection of History, Aesthetics, and Technology in Urban Development

Lessons from South Korea's Asia Culture Center on balancing historical preservation, aesthetic design, and smart city technology in urban development.

6 min readConcept
Abstract representation of AI transformation disrupting traditional software development approaches
AI StrategyModel

AI is Not Just Another Software Project: A Wake-Up Call for CIOs and CTOs

Why CIOs and CTOs must stop treating AI as just another software project and start rethinking business models, talent strategies, and governance frameworks.

4 min readApplied
Illustration of a product manager orchestrating AI-powered cross-functional teams
AI StrategyModel

What's an AI Product Manager?

How LLMs and generative AI are transforming the role of product managers, shifting organizations toward cross-functional pods and human-AI collaboration.

4 min readConcept
Circular diagram illustrating the virtuous cycle of generative AI from data collection to innovation
AI StrategyModel

The GenAI Cycle of Virtue

How the virtuous cycle of generative AI and LLMs will reshape organizational systems and drive us toward the next economy through continuous improvement.

5 min readApplied
Illustration contrasting genuine AI innovation with superficial AI marketing hype
AI StrategyAnalysis

What is AI Washing?

AI washing is the marketing equivalent of selling air -- companies slapping the AI label on products without substance. Learn to spot it and demand better.

3 min readConcept
A timeline spanning from ancient cuneiform tablets to modern language models, illustrating the evolution of human communication
PerspectiveField Note

Forget AI, this is a language thing...

How language innovations from cuneiform to LLMs represent humanity's greatest leaps forward, and what happens when technology replaces communication.

4 min readConcept
Global network visualization showing AI bridging language and cultural barriers across borders
AI StrategyModel

Disrupting Borders and Boundaries: AI and LLMs as Game-Changers for Global Collaboration

AI and LLMs can bridge language and cultural barriers to revolutionize global collaboration, from supply chains to real estate and private equity.

4 min readConcept
Abstract visualization of AI disruption waves reshaping organizational structures
AI StrategyAnalysis

AI Disruption: Grasping at the Uncharted Organizational Impact of ChatGPT

The organizational impact of AI and foundation models is profound but unpredictable. Leaders must rethink value delivery systems in a world of reduced friction.

3 min readConcept
Strategic visualization of big data trends including data fabric, AutoML, and generative AI
AI StrategyFramework

Future-Proofing Your Big Data Strategy

Tech leaders must steer clear of big data misconceptions and embrace emerging trends like data fabric, AutoML, and generative AI to stay competitive.

6 min readApplied