Blog
Technical articles on AI agents, MCP servers, API development, and building production AI systems.
Agent Sprawl: The $500M Lesson and How to Prevent Runaway AI Costs
AI agents do not bill like software - they bill per token, and the cost is nonlinear. Here is what the $500M mistake, Uber, and Microsoft teach about controlling agent spend before the invoice arrives.
One Guardrail Policy for Claude, Codex, and Gemini
Claude Code, Codex CLI, and Gemini CLI now ship the same pre-tool hook. The four-seam adapter that lets one policy govern all three.
The Claude Code Workflow Cheatsheet: Stop Prompting, Start Configuring
Claude Code becomes powerful when you treat it like a workflow system, not a chatbot. CLAUDE.md, skills, hooks, permissions, and the 4-layer architecture that makes it all work.
Claude Subagents vs Agent Teams: Choosing the Right Multi-Agent Architecture
The Claude Agent SDK gives you two coordination models: subagents and agent teams. Here is how each works, when to use each one, and the five orchestration patterns that connect them.
How AI Automation Reduces Costs for Canadian Businesses
Real numbers on AI automation ROI. Document processing, customer service, data entry, and operations - where Canadian companies are seeing the fastest payback.
AI Consulting Services in Ontario: Kingston to Ottawa
The Eastern Ontario AI corridor is growing. From Kingston to Ottawa, here is what local AI consulting looks like and how Ontario businesses are adopting AI.
API Development Best Practices for AI-First Companies
Building APIs that work well with AI agents and LLMs. Schema design, authentication patterns, rate limiting, and making your APIs AI-consumable from day one.
Claude Code for Development Teams: Setup and Best Practices
How to roll out Claude Code across your development team. MCP server setup, CLAUDE.md conventions, hooks, and workflows that maximize developer productivity.
Building Production AI Agents: Lessons from Real Deployments
What we learned deploying AI agents in production. Error handling, guardrails, monitoring, cost management, and the patterns that actually work at scale.
MCP Servers vs Traditional API Integrations: When to Use Which
MCP servers and REST APIs solve different problems. Here is when to use each, how they compare on security and flexibility, and how to combine them.
Government of Canada AI Procurement: A Vendor Guide
How Canadian AI companies can navigate federal procurement. From PSPC standing offers to ISED programs, here is how to sell AI services to the government.
Canadian Data Sovereignty for AI Systems: What You Need to Know
If you are building AI systems that handle Canadian data, sovereignty matters. PIPEDA, provincial regulations, and practical steps to keep data in Canada.
AI Consulting in Canada: What to Look For in 2026
The Canadian AI consulting landscape is growing fast. Here is how to evaluate AI consulting firms, what to expect from an engagement, and what questions to ask.
AI Agents Explained: What They Are and How Businesses Use Them
AI agents go beyond chatbots. They plan, execute multi-step tasks, and integrate with your systems. Here is how real businesses are deploying them in production.
How to Build an MCP Server: Step-by-Step Tutorial
A practical guide to building your first MCP server from scratch. Connect your AI agents to databases, APIs, and internal tools with working code examples.
What Is an MCP Server? A Complete Guide for 2026
MCP servers let AI models connect to your tools, databases, and APIs through a standardized protocol. Here is everything you need to know about the Model Context Protocol.