Exploring the intersection of AI, digital experience platforms, and software architecture. Insights from building and scaling enterprise systems in the age of AI.
11
Articles
9
LinkedIn
2
CMS Critic
2025
Latest
The Next Great DXP Will Sell Transformation, Not Software
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CMS Critic•
Feature wars are a dead end. The next wave of DXPs will win by changing how teams ship, learn, and govern. This article shows how to anchor platform strategy to measurable business transformation and cultural adoption, not just tools.
Key Insights
Defines a value chain for DXP that ties product, engineering, and change management
Illustrates a transformation roadmap with operating model shifts, not just feature rollouts
Outlines leadership metrics that prove impact across speed, quality, and margin
Lipstick on a Pig: Why Most 'Agents' Aren't Agents
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LinkedIn•
Many so called agents are thin scripts wearing AI makeup. Real agents reason, plan, and coordinate tools across changing contexts. This piece offers a litmus test for agentic credibility and explains why orchestration matters more than wrappers.
Key Insights
Agent credibility checklist across autonomy, memory, tool use, and recovery
Patterns for safe delegation and guardrails in production environments
How to separate marketing claims from operational reality
The Commits Don't Lie: XM Cloud's Future in Plain Sight
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LinkedIn•
Roadmaps whisper. Repos shout. By reading dependency shifts, module seams, and deployment scripts, you can forecast where a platform is headed. This article decodes XM Cloud commit signals to surface strategy early.
Key Insights
Commit signal taxonomy across naming, dependencies, and platform seams
How to distinguish refactor noise from roadmap intent
Practical tips for investors, partners, and customers reading public repos
Twelve Lessons I'm Still Learning: A Letter to My Younger Self
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LinkedIn•
Leadership is a practice, not a promotion. These twelve lessons cover clarity under pressure, bias for delivery, and the discipline of kind feedback. It is a pocket guide for staying human while building hard things.
The Future of Architects and Product Managers in the Age of AI
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LinkedIn•
Architecture is shifting from diagram stewardship to outcome ownership. As AI automates scaffolding, the winning architects act like product managers who shape bets, measure impact, and tune loops.
Key Insights
Outcome first design with experiment cadence and product telemetry
From reference diagrams to performance contracts and SLOs
Agent-to-Agent Personalization: Trust, First Impressions, and the Grudge Factor
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CMS Critic•
Agents will increasingly serve other agents. Personalization must account for machine to machine trust, first contact rituals, and long memory. This article proposes patterns that reduce nondeterminism and build cooperative behavior.
Key Insights
First impression protocols for agent handshakes
Managing memory, reputation, and forgiveness across agents
Designing for graceful failure and negotiated retries
On the frontier there are no recipes. This article lays out how to build responsibly when patterns are immature, including how to design seams, isolate risk, and write standards that can survive version two.
Key Insights
Seam first architecture with well lit escape hatches
Rigid content models cannot keep up with adaptive experiences. Structured vibing pairs typed content with generative flexibility so teams can keep control while the system improvises within safe bounds.
Key Insights
Explains structure plus improvisation as a governance model
Shows how tokens and policies set creative lanes for AI
Maps use cases from content ops to on site orchestration
Developers are no longer the only first class users of platforms. Agents are. AgEx focuses on giving agents clear tools, contracts, and feedback loops so they can work with us and for us at scale.
Key Insights
Designing APIs and events for agent consumption
Operational contracts for agent behavior and cost control
Accelerators Done Right: From Sales Demos to Real Delivery
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LinkedIn•
Most accelerators stop at the sizzle. This article details how to build accelerators that compress delivery time in production through reusable components, automation, and ops ready defaults.
Key Insights
Separates demo kits from delivery accelerators with entry and exit criteria
Defines reusable backbone assets across components, scaffolding, and CI
Links accelerator value to margin, quality, and ramp time
Behind the scenes of launching and scaling XM Cloud. Three lessons on aligning architecture with unit economics, turning continuous delivery into culture, and designing for cost aware growth.
Key Insights
Architecture choices tied directly to margin and tenancy economics
Culture of continuous delivery as an operating system for teams
Pragmatic patterns for scale without runaway complexity