Trends
Every few years, the substrate of software shifts and the winners get rewritten. In 2010, "mobile-first" sounded like a marketing slogan until it became table stakes. Companies that designed for desktop and bolted on mobile got outflanked by companies that designed for the thumb from day one. By
Business
When an SMB owner tells us they're not ready for AI yet, they almost always frame it as "too expensive" or "we'd need someone technical to set it up." Both are easy answers and neither is the real one. The pricing has
Future of Work
A pattern is showing up in how knowledge workers describe their tool stack lately, and once you notice it you can't stop seeing it. Someone signed up for an AI personal assistant six months ago. Today they cancelled Todoist. Last month they let Calendly lapse. Notion is still
Engineering
A customer asked us a fair question last month. They run two near-identical e-commerce brands, same SKU catalog, same support workflow, same Shopify setup. They wanted to clone their Customer Success employee — call her Enide-A — and stand up Enide-B for the second brand. "Same employee, two stores. Just duplicate
Business
There's a Reddit thread on r/AI_Agents this week that asks the exact question every SMB owner asks the moment they hear "agent team": is multi-agent architecture worth the 15x token cost? The thread has 21 comments and almost no consensus. Most of the answers
Business
When an SMB founder decides it's time to hire their first AI employee, the default impulse is almost always the same role: customer support. The reasoning is intuitive. Support is high-volume, the workflow is visible, the cost-to-serve is the line item that hurts most, and every vendor demo
Engineering
v2.1.8 ships one big new thing — Clone Employee — plus three fixes we caught while testing it. Quick run-through. Clone Employee You can now duplicate an employee from the dashboard kebab menu. Click Clone, give the copy a name, and you get a brand-new employee with the same skills,
Trends
The numbers are real. AI super-users in 2026 are 5x more productive than their AI-laggard colleagues, save an average of nine hours a week, and are roughly three times more likely to have received both a promotion and a pay raise in the past twelve months. If you're
Engineering
v2.1.7 is a release with one big plumbing job, one quiet cleanup, and a sweep of dashboard fixes that mostly close papercuts you already noticed but never reported. The biggest item is GPT-5+ models on direct-to-OpenAI custom_llm — which sounds like a one-line param swap and was actually
Business
OpenAI shipped GPT-5.5 on April 23. Seven days later, API revenue was running 2x faster than any prior release in the company's history, and Codex had doubled in under a week. The natural read of those numbers is that GPT-5.5 is just a much better model.
AI Agents
Week 18 was the week the agentic AI market stopped being a press cycle and started being a capital allocation question. Google bet $40B on Anthropic, OpenAI shipped a model designed for multi-step autonomy, and three different verticals — sales, legal, and home services — saw nine-figure rounds flow into agents that
Trends
April was the month "agents" stopped being a press-release category and became a P&L category. Twelve months ago, "agentic AI" mostly showed up in keynote slides and Andreessen Horowitz portfolio decks. Six months ago, it started making it into Fortune 500 strategy memos. This