Hyperagent

Hyperagent is pitching itself as a way to hand off work to a fleet of AI agents. You describe what you need built, and the agents research, draft, build, and then keep the output current as conditions change. The examples given are market signal briefs, candidate slates, competitive analyses, and landing pages, and the deliverables span apps, websites, slide decks, documents, and video. The notable claim is that outputs are "alive": HTML is built and hosted live rather than pasted into a document, and the work is supposed to update as your data or world shifts. The product draws on your own data, tools, and style, and it's meant to sit inside tools a team already uses. Triggering happens in several ways: @-mentioning the agent in Slack, connecting it to Telegram, setting up a webhook, or running it on a schedule. Each agent gets its own computing environment, and there's a central command center for deploying, connecting, and managing everything. The article also says you can watch every search, decision, and artifact as it gets built, and that the system learns over time, generating new memories and skills as it runs. The page is short on specifics that would let a reader judge the product. There are no pricing details, no named customers, no benchmarks, and no description of how the agents are actually orchestrated or how accurate their research is. The copy is almost entirely about what the system can do in principle, so the real question for a reader is whether the "keeps the work current" promise holds up in practice, and this page doesn't show that.