AI / SaaS — 2025
KlarOps AI
Dashboard and marketing site for an AI operations platform built for clarity under pressure.
01
The challenge
Ops teams live in dense data. KlarOps needed a dashboard that surfaces AI-driven anomalies without burying operators in charts — plus a marketing site that could explain it in one scroll.
02
The approach
Severity-ranked information architecture, a restrained UI where colour means urgency and nothing else, and a Framer marketing site that demos the product live instead of describing it.
03
The result
A product UI investors immediately understood and a launch site that does the sales team's first call for them.
Inside the project
KlarOps is an AI operations tool, the kind of product where the model is doing real work on the user's behalf and the interface has to make that work supervisable. The central design problem was legibility: an operator needs to see what the system is doing, why, and where to step in, without drowning in detail. The design surfaces reasoning and state at a glance and keeps human control close at hand.
Operational tools also live and die on density done well, so the work focused on turning complex, data-heavy workflows into screens that stay clear under load. Information architecture came before visuals, and the component system kept everything consistent as the product grew.
The trust-critical moments got the most attention: taking an action, confirming it, and recovering from an error are where an operator decides whether to rely on the system, so each was designed deliberately rather than left to chance. The combination of legible automation and confident human control is what makes an AI ops product usable in practice. The result is software that feels powerful and supervisable at the same time, which is the balance these tools need to actually be trusted with real operations. In a domain where mistakes are expensive, the interface earning that trust is not a finishing touch, it is the product, and designing it well is what lets a team hand real responsibility to an automated system.
