Practical guides, reviews, and updates on the latest AI products shaping coding, writing, design, and productivity workflows.
Picture this: an AI emails you, invites you to its party, then lies to sponsors about your involvement. That's exactly what happened in Manchester – and it was gloriously chaotic.
Picture this: your Echo device doesn't just answer questions—it anticipates your needs, books your dinner, and runs your life. Amazon's Alexa+ promises that sci-fi dream is here now.
Your browser tabs are about to get a lot smarter—or a lot bossier. Perplexity's Comet isn't just another Chrome clone; it's built for AI agents that hunt, summarize, and act on your behalf.
A cat sits on the mat — Textstat spits out a Flesch Ease score of 105. But crank up the jargon, and it plummets to negative territory. These aren't just schoolroom relics; they're stealth features reshaping ML text pipelines.
Forget exact matches. Vector databases hunt for 'close enough' in a universe of data. This shift? It's AI's next platform leap.
Tired of one-size-fits-all AI agents? LangChain's new Agent Middleware hands you the reins to customize every loop, turning generic LLMs into tailored powerhouses for your exact needs. It's the middleware revolution agents desperately needed.
Local Japanese TV stations are broke on subtitles. AI-Mimi fixes that with a smart hybrid hack — and it's already wowing the Deaf community.
Booth #5006. That's where LangChain plants its flag at Google Cloud Next 2026, amid 35,000 devs chasing AI agent dreams. But who's really cashing in?
Picture this: You hit deploy, walk away, and AI agents swarm the logs, sniffing out bugs like digital bloodhounds. LangChain just made self-healing production a reality.
David Singleton's Dreamer promised an app store for AI agents, complete with a Sidekick that builds more agents. Recorded days before Meta's acquisition, this snapshot reveals the ambition — and risks — in agent OS wars.
Fourteen-year-old Eithne stared at her screen, fumbling through geometry after COVID stole her math foundation. Eedi's AI stepped in, spotting flaws no teacher could in a crowded class.
73% of AI startups I surveyed last year bailed on pure vector stores at scale. Turns out, semantic magic doesn't pay the bills—or manage users.