FakeCheck App

AI-assisted fact checks that help mobile users assess questionable content sooner

They took a complex AI concept and shaped it into a real product that users can actually pick up and trust.

Shipped
Information Integrity & AI
AI Mobile Application
AI & Mobile

People testing a mobile application beside a laptop

Results delivered

Shipped A cohesive product outcome delivered through one customer roadmap.

5 milestones Consolidated delivery stages defined as part of the same project.

End-to-end Connected scope from Discovery & Feasibility through AI Fake-Check Engine.

Executive summary

FakeCheck App

What Jonas Klein set out to build, how the engagement was scoped, and the shape of the product that came out of it.

Jonas Klein partnered with Deployed to deliver FakeCheck App as one consolidated product engagement.

FakeCheck turns a complex verification process into an approachable mobile experience. The project combined feasibility work, user experience design, a production-oriented backend, the mobile application, and an AI verification engine so users can submit information and receive structured support from one coherent product flow.

Client: Jonas Klein
Product: FakeCheck App
Industry: Information Integrity & AI
Project type: AI Mobile Application
Service line: AI & Mobile
Delivery stages: 5
Status: Shipped

How we approached it

Challenge & approach

Every engagement starts from a constraint. This is the problem Jonas Klein brought to us, and the route the team took through it.

The challenge

The central challenge was not only creating an AI verification capability, but presenting that capability in a way mobile users could understand and trust. The product needed a clear submission journey, dependable backend orchestration, and an AI response flow that could communicate useful results without overwhelming the user or separating the model from the wider application experience.

Our approach

Deployed first assessed feasibility and clarified how verification requests should move through the system. The experience was then designed in Figma, supported by a backend foundation and mobile app, before the AI fake-check engine was connected to the end-to-end workflow. This sequence kept model behavior, interface decisions, and application services aligned.

Delivery scope

The engagement, stage by stage

All 5 stages below belong to the same consolidated customer project. Each one builds on the stage before it rather than running as a separate piece of work.

Discovery & FeasibilityOpens the engagement and leads into UI/UX Design.
UI/UX DesignBuilds on Discovery & Feasibility and leads into Backend Foundation.
Backend FoundationBuilds on UI/UX Design and leads into Mobile Application.
Mobile ApplicationBuilds on Backend Foundation and leads into AI Fake-Check Engine.
AI Fake-Check EngineBuilds on Mobile Application to complete the engagement.

Working model

How the engagement was run

The same delivery model sits behind every customer story on this site.

One consolidated project Every stage stayed inside a single engagement instead of being split into separate workstreams, so scope, identities, and product rules were decided once.
Sequenced, not parallel Each of the 5 stages built on the output of the one before it, which kept later decisions anchored to work that was already proven.
Shipped as one product Jonas Klein received a release that resolves into a coherent ai mobile application rather than a set of disconnected features.

Outcome

What Jonas Klein has now

AI-assisted fact checks that help mobile users assess questionable content sooner.

Jonas Klein received an integrated mobile application in which the AI capability is part of the product journey rather than an isolated experiment. The shipped foundation supports practical user testing, refinement of verification behavior, and continued improvement of how results are presented and interpreted.

Other products we have shipped

Different industries, the same delivery model.

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