'We just need to clean up the CRM first, then we can automate.'
Insights
Notes on AI automation, SMB operations, and shipping workflows that survive contact with reality.
Missed calls cost small businesses thousands every month. An AI phone agent answers around the clock, builds trust, and collects everything you need to quote faster.
The difference between a chatbot and an AI agent is not the model. It is the workflow, approval points, logging, and responsibility.
Anthropic’s Claude Code postmortem shows why strong models can still feel unreliable when the harness changes. The lesson for agent builders is simple: evaluate the runtime, not just the model.
Google's new AI Mode restaurant booking rollout matters because it turns AI from a better answer box into a narrow action layer. That is probably how agentic AI reaches the mainstream: through constrained tasks, live inventory, and partner-backed handoffs.
Anthropic’s Claude Managed Agents is a bet that the hard part of agentic AI isn’t model intelligence. It’s everything around it: long-running sessions, sandboxing, orchestration, and debugging. Here’s what changed, and what to do about it if you’re building production agents.
AI vendors promise 10x productivity. The reality is more nuanced. Here's an honest breakdown of where AI automation delivers genuine ROI for small businesses, and where it's still burning money.
Most AI agent demos are impressive. Most AI agent deployments are disasters. Here's what separates the two: architecture patterns, evaluation strategies, and the pitfalls that kill production agents.
Swedish SMBs are sitting on a narrow window of competitive advantage. AI agents aren't a future thing. They're a right-now thing. Here's why waiting is the most expensive option.