Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha by Eric Wu

Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha by Eric Wu is a highly esteemed winner of the very prestigious 2025 Moputso oa Tšepe oa A' Design Award in Moralo wa Softwere Competition Category.

TšepeSoftwere· 2025

Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha

by Eric Wu

Client: Seek AI

Moputso oa Tšepe oa A' Design Award Winner in Softwere Category

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The Design

About Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha

Mongolo wa Buka: Seek AI ke sesebediswa sa marang-rang se dumellang basebedisi ba khoebo ho botsa dipotso ka dintlha tsa bona ka puo e tloaelehileng. Seek AI e fetola dipotso tsa puo ya tlhaho ho ba khoutu ya SQL ka ho sebedisa mefuta e meholo ya lipuo (large language models) le moralo o ikgethang wa mokgatlo (agent framework). Sethala sena se hokahane le mabenkele a dintlha a kang Snowflake, BigQuery le Redshift. Sebopeho sa puisano (chat interface) se kopantswe le sesebediswa se ka atolosoang sa ho fetola SQL (expandable SQL editor), e leng se dumellang hore dipotso tsohle di hlahlojwe le ho ntlafatswa. Phanele ya mothusi e tshehetsa mosebetsi ka hare ho sesebediswa sena sa ho fetola. Basebedisi ba boetse ba kgona ho theha ditshwantsho tse bontshang dintlha (visualizations) le ho arolelana temohisiso le basebedisi ba bang.

The Recognition

About the Moputso oa Tšepe oa A' Design Award

Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha ke mohapi oa Moputso oa Tšepe oa A' Design Award, kananelo e hlomphehang e fuoang meralo e metle e finyellang litlhoko tsa porofeshenale le tsa indasteri tse lebelletsoeng ho lintho tse hlahisitsoeng tse entsoeng hantle. Bahapi ba Tšepe ba bontša bokhoni bo boholo, bokhethehi bo phahameng, kutloisiso ea litsebi le bokhoni ba boqapi ba baqapi ba bona. Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha e lebelletsoe ho ba ntho e hlahisitsoeng e hlomphuoang haholo, e ratoang le e ratehang, e sebetsang le e nang le mehopolo e mecha. Moralo ona o hapileng Moputso oa Tšepe oa A' Design Award o kenyelletsa mekhoa e metle ka ho fetesisa ea indasteri mme o na le litšobotsi tsa theknoloji tse nang le bokhoni tse amanang le tsebo le talenta. Ka lebaka la botlalo ba eona, Seek AI Ts'ebetso ya Mantlha: Sesebediswa sa Marang-rang sa Tlhahlobo ya Dintlha e tšoanelehela tlhompho mme e entsoe ho fana ka ntlafatso ea bophelo e thusang ho etsa hore lefatše le be sebaka se molemo.

Behind the Design

Press Kit

Credits, team members and technical details provided by the designer.

Unique Properties: Seek is a generative AI platform that empowers business users to query their datasets and frees up data teams from ad-hoc requests for analysis. It automatically converts natural language questions into high-quality SQL code. With the efficiency of Seek, data teams are able to focus more on big questions that matter.
Dimensions & Packaging: Seek AI is a web application built with technologies like Next.js, React, and Django. Seek connects to popular data warehouses such as Snowflake, BigQuery, and Redshift. Seek uses a custom agentic AI framework to generate data queries based on natural language questions from the user.
Tags: Generative AI, enterprise application, data analytics
Production Technology: Seek AI utilizes large language models to generate queries.
Design Challenge: The challenge was balancing the precision of a data-driven interface with the freedom of an AI chat bot. Research and practice have shown that an entirely uncontrolled AI chatbot performs poorly on structured data, which has low tolerance for any degree of mistakes. On the other hand, user satisfaction greatly increases when the AI has more perceived autonomy and performs more like humans. The design of Seek AI treats the precise SQL editor as an expandable feature within the chat, while also allowing for the option to engage with it solely. A side AI assistant in the editor itself provides the continuity of AI interaction, while acknowledging that in the technical editor interface, AI becomes an assistant to the precision and lets the user take agency. This approach proves to be highly effective as users are able to freely toggle between the two modes of working and ensure that queries are accurate.
Research: In the design process, I conducted user research with multiple clients who agreed to be design partners. The research focused on how people perceive accuracy and precision in the context of AI-generated data queries. We found that while people ultimately value precision the most (as they claim), user satisfaction was actually less with a system that is more guardrailed to be precise than making errors. With humanized AI systems, users gain satisfaction from responsive engagement with the system, even though the primary function of the system may be productivity and accurate data queries.
Inspiration: I have designed this product with the mindset that data tools should be both accessible and efficient. With the rise of generative AI, we're at a unique intersection in design where complex mental models can easily be explained away by AI. However, AI also runs the risk of simplifying things too much and losing accuracy in the process. As a data-centric software, it is paramount that Seek maintains accuracy and precision alongside any usability improvement brought by AI.
Project Duration: The project is receiving continuous feature updates. The current iteration was has been developed since the beginning of 2024.
Operation Flow: With Seek AI, users can ask questions about their data in natural language, and Seek would generate queries for them. This makes it easier for data professionals to write queries for complex datasets. Additionally, Seek allows users to create visualization or share insights with collaborators.
Team Members: Eric Wu
Image Credits: Image credit: Eric Wu
Video credit: Eric Wu