Jett Develops

AI output is only as credible as the interface around it. A prediction, a recommendation, or a generated insight that lands in a poorly designed UI doesn't get trusted - regardless of how good the model is. This service is for AI product teams who understand that the design layer isn't decoration. It's the difference between a product users rely on and one they abandon after the first session.What's included:AI output mapping - how intelligence surfaces across the product and at which momentsInteraction design for AI-driven features - suggestions, confidence indicators, override statesTrust and transparency design - how the product communicates what it knows and doesn'tFull UI design across core product screensDesign system built around AI states and edge casesFigma prototype and developer handoffProcess:Output mapping - before any screen is designed, understanding what the AI produces, when, and what a user needs to do with itInteraction design - the states, flows, and edge cases unique to AI-powered interfacesVisual design - built for clarity at the moment of decision; no noise, no false confidencePrototype - reviewed against real use cases, not just happy pathsHandoff - documented for the engineering team with AI states explicitly called out

Most products fail at the interface - not because the product is wrong, but because the design never asked the right question. This service is for founders and CTOs who need a design partner who starts with the business problem, not the component library. From the first screen to the one that closes the deal, every decision is made against a clear outcome.What's included:Problem definition session - establishing what the interface needs to prove, to whom, and whenInformation architecture and user flow mappingUI design across all core product screensInteractive prototype for stakeholder and investor reviewDesign system - components, tokens, states, documented and ready for handoffDeveloper handoff via Figma with annotated specsProcess:Discovery - a focused session on the business problem, not the brief. What has to be true after this ships?Architecture - flows mapped before a single screen is designedDesign - built in Figma, reviewed at each milestone, refined based on real feedback not assumptionsPrototype - a working model that stakeholders can navigate and investors can seeHandoff - documented, annotated, production-ready

Numbers-heavy products carry a trust problem before they carry a data problem. A dashboard that looks uncertain undermines the product behind it. This service is for FinTech and SaaS companies where the interface has to be as credible as what it's showing - built for the person making the decision, not the person who designed the onboarding.What's included:Stakeholder and user intent mapping - who reads this screen and what do they need to know firstData hierarchy and information designDashboard and reporting interface designMobile and responsive considerationsInteractive prototypeDesign system and component libraryFull Figma handoffProcess:Intent mapping - understanding who opens this screen and what they're trying to confirm or decideHierarchy - information structured by consequence, not categoryDesign - built for density without noise; every element earns its placeReview - tested against the decision it needs to support, not against a style guideHandoff - production-ready, annotated, documented

The brief is never the whole problem. This service exists for the conversation that happens before the design does - when a founder knows what needs to happen but not yet what needs to be built. A single clarity session has changed the scope, the stack, and the outcome of every engagement it's preceded. That's not a coincidence.What's included:Product strategy session - goals, constraints, what success looks like in six monthsAudit of existing product or design if applicableCompetitive landscape analysis from a design and UX perspectivePrioritised recommendation on what to build, in what order, and whyDesign direction and visual positioning briefOptional: ongoing advisory retainerProcess:Discovery - an honest conversation about the problem, what's already been tried, and what the numbers need to doAudit - if there's existing product, it gets read before any recommendation is madeAnalysis - the competitive landscape mapped against the client's actual positioningRecommendation - a clear, prioritised direction with reasoning; not a list of optionsHandoff - a brief the team can act on immediately