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Notes from the build floor.

Practical guides on AI automation, MCP servers, trading bots, e-commerce automation and the engineering tradeoffs we make.

Playbook
FeaturedTrading

AI trading automation in Canada: what's legal, what works, what doesn't

An engineer's honest guide to building trading bots in Canada in 2026: what the OSC actually regulates, what tooling works, and where retail traders waste money.

May 6, 20267 min readNeuralhewn
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Industry analysis

72% of enterprises run AI in production. The 28% standing still are about to fall further behind.

The 2026 enterprise AI adoption gap isn't about whether you've started. It's about how many workflows per company, and that number is compounding fast for adopters and stalling for everyone else.

May 6, 20268 min read
Commentary

Klarna unwound its AI customer service: three lessons for any operator deploying agents in 2026

Klarna replaced 700 customer service jobs with an OpenAI-powered agent, then reversed course in 2025. Three lessons for operators and CTOs scoping their own AI agent builds in 2026.

May 6, 20268 min read
Buyer's Guide

Operator vs Computer Use vs Gemini: a 2026 buyer's matrix for picking an agent platform

OpenAI's Operator, Anthropic's Computer Use, and Google's Gemini agentic mode all promise to automate work across your apps. They're not interchangeable. Here's how to pick the right one for your business in 2026.

May 6, 20269 min read
Buyer's Guide

How to choose an AI automation agency in Toronto (2026)

A founder's honest guide to picking the right AI automation partner: what to ask, what red flags to walk away from, and the realistic budget for SMB-size projects in Toronto.

May 5, 20267 min read
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