Category: AI
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AI Customer Service Isn’t a Win If Customers Like You Less
AI support can resolve issues while quietly destroying loyalty. If customers like you less afterward, it’s not a win—no matter the resolution rate.
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AI Harness: Smart Output vs Reliable Results
Most teams are fixated on the AI model—the brain. The harness is the system around the model that turns output into safe, repeatable results.
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AI Security in 2026: The Real Breach Is the Infrastructure Around the Model
The biggest AI security risk in 2026 is no longer the model alone. It is the agentic infrastructure around email, tools, RAG, and cross-agent permissions.
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Spec-Driven Engineering: The New Bottleneck Is Defining Done
Spec-driven engineering changes the bottleneck: when AI agents can build fast, teams win by defining acceptance criteria, constraints, and done conditions with precision.
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When clarity becomes the new edge in vibe coding
When coding becomes vibe code, winning teams answer every “what happens if…?” before the AI builds it. Clarity is the differentiator.
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Stop feeding AI raw data—build Data Products that answer questions instantly
Stop building dashboards for questions before they exist. Craft data products with definitions, metadata, and guardrails so AI can answer questions instantly.
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Shadow AI is Already on Your Payroll—Here’s How to Reclaim Ownership
Shadow AI already lives inside your org. Here’s the clarity, governance, and Safe Yes system you need to keep decision ownership in your hands.
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Decision Ownership is the Hidden Cost of Hybrid AI
Hybrid systems succeed when you know who owns the decisions. Here is how to keep leverage from flipping in your hybrid stack.
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Agentic Engineering: The Five Levels At The Heart of Real AI Autonomy
Agentic engineering is a fraud-free maturity model describing five levels of autonomy, how to spot them, and how to move up.
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Model Context Protocol (MCP)
Ever try to swap one AI model for another on a project and realize it’s about as easy as replacing your car’s transmission mid-road trip? That’s where MCP comes in. Think of Model Context Protocol or MCP as the USB-C of the AI world – that magical connector that finally ends the “which way does