Prepare for the agent-first software environment.
Analysis, frameworks, and practical guidance on MCP, agent UX, security, product strategy, and AI-agent readiness.
The API Era Is Not Ending—but the Interface Is Changing
APIs remain the execution layer. What is changing is who calls them, how they are described, and what controls must wrap them when an agent is the caller.
Why Every SaaS Company Needs an AI Agent Readiness Assessment
Before building an MCP server or adding agent functionality, understand where your product, systems, and security posture stand today.
MCP Security: What Product and Engineering Teams Must Design Before Launch
Security cannot be added after the agent experience is designed. Permissions, data boundaries, approvals, and logging must shape the architecture from the beginning.
Agent UX: Designing Software for Users Who Delegate Work to AI
When an agent becomes the interface, instructions become part of the product. Tool descriptions, context, and error design matter as much as any screen.
Is your product ready for AI-agent access?
The AI Agent Readiness Assessment identifies the workflows, technical gaps, security requirements, and implementation priorities that matter most.