AI Agents / Industry Research Agent
The trade pubs you used to read are still publishing. Your competitors are still making moves. The regulatory updates still drop. You're just not reading any of it anymore because the work piles up. This agent does the reading for you, picks out the five or six things actually worth knowing this week, and tells you what to do with each.
we map your industry, identify the sources you trust, list the competitors and signals you actually care about, and define what counts as 'worth doing something about' for your business
scheduled research task, source list, AI summary logic, and delivery format configured in your accounts
a pilot digest gets built from the last two weeks of real data, we review and adjust priorities and tone together
go-live with monitoring, typically deployed in 3 business days
That's the failure mode we design against. The digest is short by default (five or six items, not twenty) and each item has a 'what to do with this' note attached. If you find you're not reading it, we tighten the filter or change the cadence during a Monthly Optimization call.
You name them during the kickoff call. The agent watches their websites, blogs, hiring pages, and public social. We can add or remove competitors anytime, and if a new player shows up in your industry, the system can flag them for you.
Most niches have something: a subreddit, a Substack, a few LinkedIn voices, a regulator, an association blog. Part of the kickoff call is identifying which signals actually carry information in your space. If none exist, we tell you and don't build the agent.
Yes. Distribution is up to you: email to a list, a Slack channel, a Notion page the team checks, or all three. We set it up however you'll actually read it.
Yes. Everything is built in your accounts. You own the workflows, prompts, source lists, and integrations outright.
I monitor your sources for breakage (a publication paywall change, a competitor site redesign, etc.) and fix them before the next digest. I tune the filtering logic based on what you actually find useful, upgrade to better LLM models as they release, and add or remove sources as your priorities shift. Monthly call to review the last few digests and tighten what's surfaced.