Nicolay Gerold

Conversational AI Apps.

Built in React.

AI.JSX is a framework for building AI applications using Javascript and JSX. You get great support for prompt engineering, Document Question + Answering, and using external Tools (APIs). You can provide a set of React components to the LLM and have your UI constructed dynamically at runtime (AKA GenUI). Bring... See more

For example, if you ask a model to “return all active users in the last 7 days” it might hallucinate a `is_active` column, join to an `activity` table that doesn’t exist, or potentially get the wrong date (especially in leap years!).

We previously talked to Shreya Rajpal at Guardrails AI, which also supports Text2SQL enforcement. Their approach was... See more

Airbyte enables you to build data pipelines and replicate data from a source to a destination. You can configure how frequently the data is synced, what data is replicated, and how the data is written to in the destination.

This page describes the concepts you need to know to use Airbyte.

Source

A source is an API, file, database, or data warehouse... See more

Principles for growable tools

There are three critical pieces to building a tool that can grow around its users over time.

1. Design around play . Sometimes I call this design around experimentation . Using the tool for day-to-day work should involve playing and experimenting with what’s possible with the tool. Whether that’s writing small programs to

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The Semantic Layer

for every data app

Connect data silos, drive consistent metrics, and power your AI and analytics with context.

SQL has limitations as it is built on relational concepts and relies on binary joins.

The future of databases is shifting towards relational knowledge graphs, allowing the flexibility to work with various data structures beyond tables.

Businesses are moving towards explicitly modeling business semantics and logic, which are often stored in... See more

they could try “switching to a different model, augmenting the training data in some way, collecting more or different kinds of data, post-processing outputs, changing the objective function, or something else.” Our interviewees recommended focusing on experiments that provided additional context to the model, typically via new features, to get the... See more

Before we know it, saying a product “uses AI” will seem as silly and obvious as saying a product “uses a database.” Today, the average developer might not know how a query planner works, but they definitely use a database. Similarly, we don’t expect the average developer in five years to know how a transformer works. But we guarantee they will know... See more