Ideas with lift.
Insights on smarter websites, practical AI and turning good ideas into business growth.
Your AI assistant wants a memory. Who holds the key?
Google's private server-side memory shows where AI assistants are heading. Here are five practical questions businesses should ask before enabling persistent memory.
AI should take work off the table, not follow you home
AI can save time while making the working day denser. Five practical questions help small businesses design automation around control, focus and wellbeing.
The cost of an AI rejection
Cheaper AI models can screen potential work. Learn why businesses should test rejected opportunities, preserve exceptions and keep missing information visible.
AI slop is becoming a distribution risk
LinkedIn’s AI-slop controls turn generic business content into a distribution risk. Here is how to preserve evidence, judgement and genuine authority.
The AI track needs a paper trail
Suno’s latest release raises practical questions for agencies. Keep the track history, usage checks and client approvals beside every AI music delivery.
The prompt said “sandbox”. The network said otherwise.
AI agents are only as contained as the systems around them. Learn why network controls, permissions and supplier checks matter more than a sandbox prompt.
The AI pilot is over. Now someone has to run it.
Enterprise AI now depends on permissions, budgets, hand-offs and proof of completed work. Build a practical operating model for dependable AI adoption.
AI is becoming a utilities business
OpenAI’s 8 GW Ohio data-centre deal shows how AI is becoming an infrastructure business built on power, finance and long-term contracts.
AI code review has found its real job
AI review tools are finding bugs missed by humans in the Linux kernel. Here is what businesses should learn about agents, triage and human oversight.