Adviserry

Adviserry is a productivity tool that turns the experts you follow into a weekly list of drafted business moves. Adviserry reads the newsletters and YouTube channels of experts you follow, weighs them against your projects, and drafts sourced action items each week.

Adviserry is an AI advisory tool aimed at founders and operators who subscribe to plenty of expert newsletters and YouTube channels but rarely act on any of it. It ingests what those experts publish, compares it with the projects the user describes, and drafts specific moves for the week, each with sources cited. The user decides which drafts actually get used. In practice, setup starts by connecting a Gmail inbox and adding favorite YouTube channels, after which new newsletters and videos sync into a searchable archive automatically. Creators can be grouped into topic panels such as marketing, SaaS or AI, and users can upload their own documents, such as a pitch deck, strategy doc or project brief, so the output reflects their situation rather than generic advice. An hourly scan checks fresh content against stated goals, and the best hits arrive in a daily summary email. Urgent items can be sent as direct pings. Beyond drafted actions, the higher tiers add an AI chat that answers questions from what the followed experts actually said, a memory of what the user is building and has shipped, and cross-source synthesis when several experts converge on one topic. The archive can also be queried from Claude Desktop, Cursor or Claude Code through an MCP server, which keeps answers available inside tools people already work in. A team plan shares panels and sources across five seats. Among alternatives, it sits between a plain read-later app and a general chatbot into which newsletters are pasted by hand. The pitch is that the archive is built automatically, answers cite the originating newsletter or video, and the system proactively proposes work instead of waiting for a prompt. The site states that its Gmail handling passed a CASA Tier 2 security assessment. Its value depends on following experts whose content is already in the supported sources, and it targets business strategy rather than specialized domains.