Something breaks in a web app. A payment fails, a document upload hangs, a button that worked yesterday stops responding. The user sees a red box, a five-digit error code, and maybe a line that says “Something went wrong.” No explanation. No next step. No sense of whether the problem is on their end or someone else’s.

Every other part of modern software has learned to communicate. Deployments announce themselves to engineering teams. Analytics describe behaviour in plain English. Support chats answer questions in real time. The error message, the one surface where a user is most frustrated and most alone, has stayed frozen in time. A code, a blank screen, a button that stops working, shown to the least technical person at the worst possible moment.

Zion Abubakar, a Lagos-based founder also studying at Covenant University, is building Cluebase to change that. Cluebase is an AI agent that appears the moment an error fires, explains what happened to the user in their own words, and sends the team a complete incident with the user’s name attached.

The problem

Error monitoring tools have existed for over a decade. They tell developers what broke, where in the stack it broke, and how often. What they do not do, and were never designed to do, is talk to the person who hit the error.

That gap sits inside most product organizations as unspoken policy. Engineering gets a Slack ping with a stack trace. The affected user gets nothing. Sometimes a support ticket shows up hours later from a frustrated customer who already left and came back. Often the user just leaves. Nobody in the company ever learns their name, what they were trying to do, or whether they recovered.

For small teams especially, this is a quiet source of churn. A single bad error moment, with no one acknowledging it, is enough to lose a customer who otherwise liked the product. The error itself is not the problem. The silence around the error is.

The solution

Cluebase is a single install that puts an AI agent inside your app for the moment an error fires. When something breaks, the agent appears to the affected user, explains what happened in plain language, answers follow-up questions, and points them to a status page or support channel if they need more. Then it hands the team an incident report, delivered via Slack, Telegram, or email, with the user’s details, what they were doing, and how the conversation ended.

The install is one npm package, one provider component, one key. Current support covers Next.js (cluebase-next) and React (cluebase-react), with Vue, Svelte, and vanilla JavaScript listed as coming soon. The widget mounts outside the React tree, which means it still works when the app itself white-screens or fails to hydrate.

Pricing starts free with 10 rescue conversations a month, moves to $29 a month for 1,000 conversations on Pro, $79 a month for 5,000 on Growth, and $249 a month for 25,000 on Scale. Unlimited error capture starts at the Pro tier.

The bet

The bet is that error management belongs in the product-UX layer, not just the developer-tool layer.

The existing category has assumed a clean separation. Error monitoring is for developers. Customer communication is for support. Analytics is for product. Each tool solves one slice, and the affected user, the actual human whose day was interrupted, falls through the gaps between them. Cluebase is arguing that the error moment is itself a product-design surface, and that treating it as such produces a different category of tool: one that measures how users feel about errors, whether they recovered, and whether the company earned back their trust.

The surface area is small, which is part of the opportunity. Error monitoring has had the same shape for a decade. A new category entrant that opens with “we talk to your users” rather than “we show you stack traces” is making a positioning move that the incumbents architecturally cannot copy without redesigning what their product is for.

What to watch

Two things will tell us whether the bet holds.

Whether the agent’s guardrails hold at scale. Cluebase commits publicly that the agent never claims a payment went through or that data was saved when it does not know, because a confident wrong answer costs more trust than an honest small one. Keeping that discipline as capabilities grow is non-trivial, and if it slips the product’s whole credibility premise erodes.

And whether developer adoption compounds. The categories Cluebase is trying to sit next to are mature and well-defended. Winning depends not on being better at any one of them, but on enough developers deciding that “AI agent for the error moment” is a real job to be done. Zion recently made the Final Top 5 of Nigeria’s Next AI Talent Competition 2026, which is one early signal in that direction. The next hundred will have to come from working products in working production environments.

What we’re rooting for

Spotlight is rooting for Cluebase to add 50 new paying teams by end of Q1 2027. For a product this early, by a founder being honest about the stage, 50 paying teams is the kind of signal that turns a well-designed thesis into a working business, and the retention signal that says the error-UX category is a real one. We’re cheering every signup, and we hope Zion comes back to share the number when the cohort lands.

Developers ready to stop leaving users alone with error codes can try Cluebase.