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Showing 61–80 of 98 dossiers

Anthropic’s Model Hardware Standard gives AI agents a shared interface for physical devices

MHS is an attempt to make microscopes, liquid handlers, robotic arms and other programmable hardware look like a consistent tool surface to AI agents. It is still a research preview, but the interoperability layer is already being tested with research institutions and hardware vendors.

Google rebuilds its Ads API Developer Assistant as an agent plugin for live reporting and validation

Google has turned its Ads API helper into a reusable agent plugin rather than a standalone project. For developers maintaining ad-tech integrations, the material change is that agent workflows can now ground themselves in current Protobuf schemas and execute validated reporting against real Google Ads accounts instead of relying only on model memory.

beehiiv has turned newsletter recommendations into a unified paid-and-organic growth marketplace

beehiiv has documented the economics and guardrails behind its rebuilt Recommendation Network, including the 20% fee on paid recommendations, verified-subscriber charging, quality-based auto-pause rules and more granular control over recommendation slots and partner selection.

Buttondown cut its database from 2TB to 750GB by deleting three legacy tables

Buttondown’s 'Great Pruning' is a small-SaaS operations story about deleting architecture rather than adding it. The company removed duplicated or over-retained request and email-event data after changing how those workloads were processed.

incident.io has made autonomous incident investigations generally available

Investigations has crossed from preview into production and incident.io now reports a large latency improvement in its own measured workflow. The agent continuously reassesses evidence and can hand remediation to coding agents, but the new speed and accuracy figures remain vendor-produced rather than independent.

Jev becomes Vercel AI Gateway’s fastest-adopted model in its first 24 hours

Jev’s launch claims were interesting; Vercel’s usage data is more useful. Nearly 13% of paid AI Gateway teams tried the typed decision model in its first day, while Jev also rose to a material share of gateway requests. That does not establish retention or production success, but it is unusually fast developer uptake for a model designed to make bounded software decisions rather than generate prose.