How this engagement ran:Build: 2 monthsOperate: Transfer: At launch, client retained ownership
    Consumer Tech
    2 months
    Build

    Ask Clay

    Fast, Trusted Q&A For A Growing Content Corpus

    Ask Clay is a board-game rules Q&A system Uplift AI built for a consumer mobile platform. A full-stack RAG system with sub-5ms vector search across 42+ indexed game rule sets, deployed as a cross-platform iOS/Android mobile experience with LangSmith tracing for retrieval observability.

    <5ms
    Vector Search
    42+
    Games Indexed
    Cross-platform
    Mobile Apps
    LangSmith
    Tracing

    Pattern Mix

    Build focused on the retrieval workflow, validating answer quality, and shipping a user experience that stayed fast and trustworthy as the corpus expanded. The client retained operational ownership at launch. This engagement ran before Uplift offered the Operate retainer.

    Business Context

    Balance accuracy, retrieval speed, and a cross-platform experience well enough that the product could answer rule questions with confidence during live gameplay.

    Business Relevance

    The value wasn't just speed. It was keeping product trust intact by delivering reliable answers fast enough to be used in the middle of a live session.

    Problem

    Building a fast, accurate Q&A system for board game rules that could handle complex queries across multiple games.

    Solution

    • Developed a full-stack RAG system with sub-5ms vector search
    • Built a cross-platform mobile application for iOS and Android
    • Integrated LangSmith tracing for observability and debugging
    • Indexed comprehensive rule sets for more than 42 board games

    Approach

    1. 1.Focused first on retrieval latency and traceability because trust depended on both speed and answer quality.
    2. 2.Designed around a growing content corpus so new games could be added without redesigning the stack.
    3. 3.Wired tracing and debugging in early to keep iteration grounded in real query behavior.

    Operating Impact

    A hard retrieval problem turned into a repeatable product workflow that could expand content coverage without degrading user trust or usability.

    Business and Operating Outcomes

    • +Higher product trust because speed and answer quality moved together
    • +An operating model for adding new content without redesigning the system
    • +Clearer observability into how real users queried the experience

    Technologies

    RAG
    Vector Search
    Mobile
    LangSmith

    Speed and accuracy were tight enough that players trusted it inside the first game. It felt like having a rules expert at the table.

    Founder, Board Game Platform

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