What Roshi Labs is
Roshi Labs is an AI-powered marketing intelligence platform, live at roshilabs.com. It connects to the channels a business already runs — search ads, SEO, paid social, email — and puts AI agents on top of the data: monitoring performance, tracking competitors, auditing pages, and recommending where the next dollar and the next hour should go. The operating rule is the one we apply to every agent system we build: the agents propose, a person approves.
It comes from the same group as ROSHI, our loan marketplace — a product born from running demanding, multi-channel marketing ourselves rather than from a pitch deck.
The problem it solves
Marketing teams drown in dashboards. The data to make good decisions exists — in the ads account, in search console, in analytics — but it is scattered, and by the time a human has stitched it together, the moment to act has often passed. Hiring senior people to watch it full-time is expensive; letting junior people guess is worse.
Roshi Labs collapses that gap. The agents do the always-on part — watching spend, rankings, and competitors, and turning raw data into concrete recommendations with the reasoning attached — while the judgment calls stay human. A recommendation arrives with its expected impact; you approve it or dismiss it.
The build
The platform is agent architecture applied to a specific, measurable domain. Each channel integration feeds a shared picture of performance, and agents work against that picture with defined jobs: audit, monitor, compare, recommend. The human-approval gate is not a UI flourish — it is the same design decision we make in Vibehub, where any consequential action pauses for a person. That is what makes an agent system something you can leave running.
The front end is a fast, modern React application, and the marketing site is built and shipped through the same automated pipeline discipline as the rest of our products: push to deploy, staging before production, no manual steps to forget.
Why this is proof
Most AI agent pitches stop at a chat window. Roshi Labs is the harder thing: agents wired into real external systems, producing recommendations a business acts on, with accountability built in. It is direct proof for our AI agent development work — we have built agent products, not just demos — and for AI automation, where the value is exactly this pattern: machines do the relentless part, people keep the judgment.