Built to bring the productivity gains of Claude Cowork to non-coders, these AI assistants have lots of promise but require ...
We hear a lot about how the advent of AI agents is going to fundamentally change how applications are built, most of it focused on the automation that generative AI brings to the development process.
AI is already having a seismic impact on how software is written, with much of the grunt work of programming now performed by swarms of agents and subagents. But as developers experiment with new ...
Mobile application development startup Woz Inc. has raised $6 million to take on the emerging “vibe coding” industry with an alternative platform that’s said to combine generative artificial ...
Apple is quietly working on a framework to allow agentic AI apps into the App Store, after spending months blocking vibe coding tools that violated its existing guidelines. The challenge is real: ...
Chinese tech firms are turning AI chatbots into full-service shopping and payment tools. Alibaba, Tencent and ByteDance are racing to build AI-powered super apps. U.S. firms lead in AI models, but ...
A few weeks ago I wrote about the impending death of software as a service (SaaS). The thesis is straightforward. Agentic AI enables enterprises to build their own purpose-built tools, and when ...
What if the key to building AI systems that are not only powerful but also trustworthy lies in a set of repeatable design principles? As artificial intelligence continues to shape industries and ...
Enterprises Gain a mobile solution to ensure accessibility on mobile apps, content agents to prioritize content that performs and deeper user behavior insights all in Siteimprove.ai, a single unified ...
The enterprise AI market is currently nursing a massive hangover. For the past two years, decision-makers have been inundated with demos of autonomous agents booking flights, writing code, and ...
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Beyond RAG: Why every AI search platform is now agentic and what that means for your content
Two and a half years ago, I wrote an article for Search Engine Land about how retrieval-augmented generation (RAG) was the future of search. That piece argued that RAG was not Google’s reactive answer ...
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