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Case studies

The work, in full.

Two flagship builds — from the problem on the table to the system running in production.

01

StockDashboard

Data dashboard
stockdashboard.com

StockDashboard gives users one calm view of the markets they follow — live data, watchlists, and an AI layer that summarizes what changed and why.

The problem

The information lived across a dozen tabs and tools, with no single place to see what actually mattered at a glance.

What we built

We designed and built the dashboard end to end — data ingestion, watchlists, and an AI summarization layer — wrapped in a clean, focused interface.

Capabilities

  • Real-time data dashboard
  • Custom watchlists
  • AI-generated summaries
  • Clean single-screen UI

Stack

Next.jsMarket-data APIsLLM summarizationTime-series storage

Outcome

One focused screen that replaces a dozen open tabs — users see what moved and what it means.

02

Internal Knowledge Assistant

AI chatbot
Client project

A services company wanted staff to get instant, accurate answers from internal documentation instead of interrupting colleagues or digging through wikis.

The problem

Knowledge was spread across documents, wikis, and people's heads. Onboarding was slow, and the same questions got asked over and over.

What we built

We built an internal chatbot grounded in the company's own documents, connected to Slack and Notion, with every answer citing its source material.

Capabilities

  • Chatbot grounded in internal documents
  • Slack & Notion integration
  • Source citations on every answer
  • Admin tools to manage content

Stack

Next.jsRetrieval-augmented generationSlack & Notion APIsVector search

Outcome

Staff get answers in seconds, and onboarding no longer depends on tracking down the one person who knows.