What this project is, what it looks for, and how the data gets here.
If you're reading this because a newsletter landed in your inbox: this is a running record of how real businesses are actually putting AI chat/agents in front of their customers — not announcements or demos, but things a real customer could actually go use today. It's updated automatically, most days, by an AI research routine that searches the web, checks its findings against sources, and adds anything genuinely new to a permanent public record.
To make the list, an AI agent has to be:
Business size doesn't matter — a five-person shop running an AI feature its booking software shipped counts just as much as a household-name retailer's own build. What matters is whether an actual customer can talk to it.
A launch announcement only tells you a company wanted good press that week — it doesn't tell you whether the thing is actually any good. So separately, this project follows up: hunting for hands-on reviews, comparisons, viral complaints, and plain evidence of whether an agent is genuinely useful or just a scripted FAQ bot wearing an AI label — and whether it knows when to hand off to a real person. That reception data lives alongside each entry once it's found, openly labeled by how trustworthy the source is (the company's own claim vs. independent reporting vs. real user complaints).
This newsletter is a digest — what's new since the last issue: freshly discovered deployments, and any new reception findings on ones already tracked. It's intentionally short. You can always find the most recent issue on the Latest News page, even if you're not subscribed. The full, permanently browsable, filterable record — every entry ever found, going back to the start — lives on the deployments page, with a companion platforms & providers page covering the AI vendors and tools referenced throughout.
This is best-effort, ongoing research, not an exhaustive registry — coverage is deeper in some markets than others, and a launch has to actually surface in a search to get caught. Every entry links back to its real source so you can check the work yourself rather than take it on faith. Nothing here is guessed or invented; where something is genuinely unclear or undisclosed, that's stated as an honest gap rather than filled in.