Resources

Collection of resources, including publications, technical guides and case studies to help you build better analytics and AI systems. Subscribe to our newsletter to receive a copy of the latest resources as Supertype release them.

The latest in AI and Enterprise Analytics

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Resources By Category

Publications

Print and digital publications on Enterprise AI, including e-books and whitepapers from Supertype's team of experts. These are print-friendly and can be downloaded for offline reading. Latest publications include:

  • Building Search Engines in the Age of AI
  • Blueprints from Agentic Patterns (2026)
  • The Enterprise AI Agentic Stack (2026)
Supertype Notes

Supertype Notes is a collection of field notes, technical essays and article series on enterprise analytics, machine learning, and data science. We welcome contributions from practitioners working on real-world analytics and AI systems.

Generative AI for Finance

A 5-part series on building generative AI systems for finance featuring AI agents that can use tools, query databases, recall past conversations, and more. This series is intended for Python beginners and experienced developers alike who want to learn how to build AI and financial automation systems that interact with real world financial data.

Regularly updated to use the latest in LangChain, OpenAI, ChromaDB, Sectors Financial API, and more.

Sectors Recipe

Detailed coding recipes, examples, and tutorials on building financial applications and workflows using Sectors Financial API.

Foundations Design System

@supertype.ai/foundations is our open source design layer for Next.js: rigorous typography primitives, content blocks, a long-form essay shell, the token and theme CSS, and build-time tooling for SEO metadata, OG cards, lint rules and contrast checks.

The Enterprise AI Agentic Stack

The Enterprise AI Agentic Stack

Samuel Chan ⋅ 2026-04-03

Latest

External Resources

  • Open Source by Supertype
    Our open source projects and libraries for building analytics systems and AI applications on GitHub. We welcome contributions and feedback.
  • Sectors on Instagram
    Follow our Sectors team on Instagram for insightful financial stories and visualizations.
  • Samuel Chan on YouTube
    samuel chanYouTube channel with over 100+ videos on data science, machine learning, and AI.

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