Desearch — AI Search You Can Verify by Savva SicevsDesearch — AI Search You Can Verify by Savva Sicevs

Desearch — AI Search You Can Verify

Savva Sicevs

Savva Sicevs

Founding design for a decentralized AI search platform — brand to product: sources beside every answer, and a dev platform you can adopt in one sitting.
Role: Founding designer — laid the design groundwork for the platform Scope: Branding · social media assets · developer console · playground

The problem

AI search gets distrusted for one structural reason: the answer hides where it came from. Desearch — a decentralized search platform spanning a consumer search experience and a developer API — had both halves of that problem, and as founding designer I was starting from zero: no brand, no design language, no product surfaces to inherit. The brief was really three jobs: give the platform an identity, earn trust in the answer itself, and make the API something a developer can pick up in one sitting.

The insight: verifiable beats fluent

There were cheaper ways to look trustworthy — polish the answer copy, add confidence disclaimers. The bet I made instead: trust doesn't come from a more fluent answer, it comes from being able to check it. Sources stopped being a footnote and became the second pane — a citations deck sitting beside every answer, with each paragraph tagged by the kind of source it came from.
Answers you can verify — citations deck beside the answer
Answers you can verify — citations deck beside the answer
The citations deck sits beside the answer — posts, articles, papers and threads as scannable cards.
Hovering a sentence highlights the exact source snippet it came from — one gesture from claim to evidence.
Trust signals (freshness, citation usefulness, source coverage) surface as scannable UI, not disclaimers.

Adopt the API in one sitting

The same principle carried into the developer platform: instead of describing the API, let developers run it — generated request code and a live playground on one screen, returning real responses.
The playground — code, run, response on one surface
The playground — code, run, response on one surface
Language tabs — Python, JavaScript, cURL — auto-update the request code.
Live responses return real JSON, with a UI toggle to read them as result cards.
The developer console answers "what is this costing me?" — requests, errors and spend share one clock.

Outcome

After launch, repeat queries rose noticeably, developer onboarding dropped from about a week to days, and API-key activations multiplied. The durable outcome is the groundwork itself: one design language running from the brand and social presence through the search experience to the console and playground.
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Posted Jul 17, 2026

Founding design for a decentralized AI search platform — brand to product: sources beside every answer, and a developer platform you can adopt in one sitting.