All the articles with the tag "agentic-ai".
First impressions from DTW Ignite 2026 in Copenhagen: agentic AI is all over the agenda, but telecom still has the awkward problem of making the economics work.
A useful personal AI agent is not one clever prompt. It is the boring operational loop around memory, recovery, context handoff, scheduled work, and cleanup.
Most enterprise AI strategies are still too model-first. The real leverage comes from designing an agent loop that can survive contact with reality.
Most agent products do not break on model quality first. They break on messy context, brittle tools, fake evals, weak recovery paths, and sloppy release discipline.
A practical look at how I built Household Chores for Home Assistant, wired it into my assistant, and made task creation work through chat surfaces like iMessage and Telegram.
Most people still think AI means a chatbot. The real shift is software that can act across your machine, tools, and workflows until the job is done.
Most enterprise AI still feels like letting a very confident intern loose in your systems.
When an AI company says it cares about safety and then walks toward defense work, the hard question isn't hypocrisy. It's whether responsible refusal is still possible once capability becomes geopolitical infrastructure.
On‑prem is the king again (but SaaS might not be dead yet).
In telco, the integration layer becomes the control plane for reliable cross-domain execution as agentic automation scales.
