# Lynk

> Lynk is the AI enablement layer for smart enterprises: your company's brain, built as code in your Git repo. Provide agents with the right context and data at the right time — and ship trusted AI that moves the needle in days.

## Pages

- [Home](https://www.getlynk.ai/): AI enablement for smart enterprises — the company brain, architecture, build flow, and Lynk agents
- [Brain](https://www.getlynk.ai/brain): the company's central context hub as code: architecture, UI and IDE workflows, context retrieval, brain health, managed-as-code governance, and FAQ
- [Lynk Data Agents](https://www.getlynk.ai/data-agents): analyst and data-scientist agents in Lynk chat, working on the company brain: planned investigations, governed queries, every step logged
- [The AI enablement layer](https://www.getlynk.ai/#platform): your company's brain: context and data definitions as code
- [The build flow](https://www.getlynk.ai/#build): build the brain with your favorite coding agent
- [Lynk data agents](https://www.getlynk.ai/#data-agents): the Lynk analyst and data scientist, out of the box
- [FAQ](https://www.getlynk.ai/faq): frequently asked questions
- [Blog](https://www.getlynk.ai/blog): data and AI blog
- [Book a Demo](https://www.getlynk.ai/book-a-demo): schedule a demo

## Blog posts

- [What Makes an AI Agent a Data Agent](https://www.getlynk.ai/blog/what-makes-an-ai-agent-a-data-agent) (July 24, 2026): Learn what turns a general AI agent into an analytics agent that works at real company scale — the data, context, and tools it needs.
- [AI Agent Fundamentals for Data Leaders](https://www.getlynk.ai/blog/ai-agents-explained-a-field-guide-for-data-leaders) (July 13, 2026): An agent is an LLM with tools, running in a loop. The AI agent fundamentals beyond the hype — LLM, tools, the agentic loop — explained in simple terms, and why context is the biggest lever data leaders control.
- [The Fivetran-dbt Merger: Why Now and What Comes Next](https://www.getlynk.ai/blog/the-fivetran-dbt-merger-why-now-and-what-comes-next) (October 16, 2025): The Fivetran-dbt merger marks a pivotal shift in data infrastructure. This post analyzes the reasons behind the merger, current industry trends, and argues it signals the end of the Modern Data Stack era and the rise of AI-driven platforms.
- [DBT As An Industry Shaper: The Pros and Cons](https://www.getlynk.ai/blog/dbt-as-an-industry-shaper-the-pros-and-cons) (March 5, 2025): Not many products get to shape an entire industry and become a tool used by millions of people. dbt successfully did this in the data industry, enabling data teams to do things they couldn’t do before.
- [Why Self-Service Analytics Still Fails—And How AI is Changing the Game](https://www.getlynk.ai/blog/why-self-service-analytics-still-fails--and-how-ai-is-changing-the-game) (March 5, 2025)
- [Deep dive into data quality issues: causes and solutions](https://www.getlynk.ai/blog/deep-dive-into-data-quality-issues-causes-and-solutions) (February 17, 2025): In this blog post we will dive into the main causes of data quality issues and offer optional solutions. We will also see which types of data quality issues can be solved by a universal semantic layer and how.
- [BI tools vs SQL vs Semantic Layers](https://www.getlynk.ai/blog/bi-tools-vs-sql-vs-semantic-layers) (January 16, 2025): Choosing the right path to creating a central source of truth