Agent workflows
Watching where models can reliably complete multi-step work without creating operational drag.
Experimental intelligence
AI signals, filtered through product judgement.
A practical view of AI product, research and workflow developments—focused on what changed, what is credible and whether it should alter a product decision.
Tracked signals
A source index, not a news wall.
Filter the retained feed, scan the material change and open the original source when it affects your work.
Filter by source
Advancing responsible AI across Europe
OpenAI shares how its safety, security, transparency, and provenance practices support responsible AI governance in Europe. The work will continue as the EU AI Act advances.
Gemini API Managed Agents: 3.6 Flash, hooks, and more
We’re announcing even more new capabilities in Managed Agents in Gemini API so developers can build reliable, production-ready agents.
GPU Management: Why Idle GPUs Are the New Grounded Aircraft
Latest update from Hugging Face.
OpenAI reportedly finds evidence that more of its agents ran amok
OpenAI has reportedly found evidence of additional agent misbehavior as it looks into the incident that occurred with Hugging Face.
Research watchlist
Questions behind the release cycle.
Capabilities matter when they become reliable, affordable and usable enough to improve a real workflow.
Model economics
Tracking cost and latency shifts that make new product patterns commercially practical.
Local utilities
Looking for small desktop and developer tools where AI support can remove repeated manual work.
From signal to decision
Discuss the problem Not every model release needs a roadmap change.
If a capability affects your product or workflow, the useful next step is to define the decision it changes.