The AI Interview Era Has Arrived

Coding interviews built around scarcity (no internet, no docs, no AI) no longer reflect how software actually gets built. Google is piloting AI-assisted interviews, Canva encourages AI use during technical screens, and Wealthsimple replaced the resume entirely with a one-week prototype-build challenge that drew 1,152 applicants. The skillset has shifted from syntax recall to systems […]

Industrializing AI: Canada’s Next Challenge After Research Leadership

Canada helped invent modern AI but is now at risk of losing the next phase. The global AI race is shifting from research breakthroughs to industrial competition: who can deploy, scale, integrate, and operate AI most effectively across an economy. China is well positioned for this transition. The U.S. is racing to build service layers […]

The AI Stability Crisis: Why Businesses Need Long-Term Support (LTS) Models

Frontier AI models drift. Even with the same prompts, same architecture, and same model name, behavior shifts week to week as labs tune reasoning, tool use, and inference routing underneath production systems. For enterprises building real workflows, predictable performance now matters more than peak intelligence. The industry needs Long-Term Support (LTS) AI models with fixed […]

The Rise of AX: Why Every Website Will Need Agent Experience Analytics

Agent Experience (AX) is the next analytics frontier. As AI bots, retrieval crawlers, and MCP-connected agents become primary visitors to websites, organizations need visibility into which bots access their content, whether agents understand it, and where automated workflows fail. AX analytics measures discovery, comprehension, interaction, trust, and performance for non-human traffic. The sites that start […]

When AI Enters Legal Workflows: The Emerging Crisis Around Attorney-Client Privilege

Attorney-client privilege was built for a human fiduciary relationship and does not extend to consumer AI platforms. In United States v. Heppner, a court treated AI conversations as third-party disclosures, not protected communications. Millions of people are now sharing legal exposure with AI systems that have no fiduciary duty, no confidentiality obligation, and terms of […]

The AI Labs Are Becoming Consulting Firms

OpenAI is partnering with Accenture, McKinsey, and the rest of the Big Four. Anthropic is building its own embedded implementation teams, more like Palantir than Microsoft. Both companies have realized AI adoption is an implementation problem, not a software licensing one. The value is moving up the stack toward integration, governance, workflow redesign, and AI […]

AI, Havel, and ‘AI for All’: Taking Back Some Control

Václav Havel argued that systems persist because people participate in them, often without realizing it. Applied to AI, we are quietly adopting tools we do not control, accepting outputs we cannot explain, and wrapping governance around black boxes. “AI for All” only matters if it means participation, not just access. Canada’s real opportunity isn’t to […]

Mythos Isn’t About Hacking. It’s About Systems.

“Mythos” isn’t a confirmed Anthropic model. It’s shorthand for a real shift: a class of Claude-level models that suddenly got exceptionally good at analyzing complex systems. Security headlines caught the wave first because vulnerabilities are system reasoning problems, but the real story extends to compliance, fraud, supply chains, and any dependency-driven domain. Once a machine […]

AI Is the New Geopolitical Battleground, and We’re Already in It

AI has become a geopolitical narrative battleground, with dark-money campaigns paying influencers thousands per video to shape public perception of a US-China AI Cold War. The deeper problem isn’t foreign influence in any single model. It’s opacity across every AI system, and the fact that compute access, not rhetoric, is the real power layer. Countries […]

Canada’s AI Compute Landscape: What I Found When I Tried to Build on It

Canada committed roughly $890M to AI supercomputing infrastructure, but builders still hit fragmented vendors, opaque pricing, and an unresolved trade-off: the most usable compute in Canada is the least sovereign, and the most sovereign is the least usable. Presence is not sovereignty. Closing that gap will take more than infrastructure spending. It needs transparent pricing, […]

The Next Frontier in AI: Token Efficiency

The AI conversation has been about capability for two years. Now a harder constraint is emerging: token efficiency. As agentic workflows replace simple chat interactions, token usage compounds from single prompts into thousands of tool calls and reasoning steps, breaking the economics of unlimited subscription pricing. The companies that win the next phase of AI […]

From AI Chat to AI That Acts: Why the Next Wave Will Feel Very Different

AI is crossing a critical line: from systems that talk to systems that act. Agentic AI can navigate tools, access data, trigger workflows, and make decisions across connected systems, all without waiting for a human to click the buttons. That shift changes the game from intelligence to control. The organizations that win next will not […]

Building an AI-Operated EV Intelligence Platform for Canada

Most Canadian EV information is scattered across news sites, manufacturer pages, and government rebate tables, with no single source tracking what actually changes about a specific vehicle. EVD2.ca is an AI-operated intelligence platform that monitors Canada’s EV market in real time, treating each vehicle as a living entity rather than a content topic. This post […]

Your AI Needs Performance Reviews Too

Most people use AI like a vending machine: prompt, response, move on. But high-quality work comes from review cycles. AI is unusually good at critiquing its own output, but only if you explicitly ask. The real leverage comes from closing the loop: run a structured review, extract improvements, update your instructions and memory, and add […]