Building an Autonomous Data Analyst

📰 Medium · LLM

Learn to build an autonomous data analyst using a text-to-SQL agent that can answer business questions, and understand the gap between a demo and a real system

advanced Published 24 Jun 2026

Action Steps

Build a text-to-SQL demo using a large language model and a database
Evaluate the demo's performance and identify its limitations
Design a real-world system that can handle complex business questions and provide accurate answers
Implement a depth-first approach to build the system, focusing on eval-first and honest feedback about what it can't answer
Test and refine the system to ensure it can provide reliable and accurate results

Who Needs to Know This

Data scientists and engineers can benefit from this article to build a robust autonomous data analyst system, while product managers can use this to understand the capabilities and limitations of such a system

Key Insight

💡 The gap between a demo and a real system is significant, and building a robust autonomous data analyst requires a depth-first approach and honest evaluation of its capabilities

Key Takeaways

Learn to build an autonomous data analyst using a text-to-SQL agent that can answer business questions, and understand the gap between a demo and a real system

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Title: Building an Autonomous Data Analyst

URL Source: https://medium.com/@trayandas/building-an-autonomous-data-analyst-7bfc1adfa123?source=rss------llm-5

Published Time: 2026-06-24T18:14:41Z

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# **Building an Autonomous Data Analyst**

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[Trayan Das](https://medium.com/@trayandas?source=post_page---byline--7bfc1adfa123---------------------------------------)

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**A text-to-SQL agent you could actually put in front of a business — built depth-first, eval-first, and honest about what it can’t answer.**

### 1. The gap between a demo and a system

It takes about an afternoon to build a text-to-SQL demo that looks like magic. You point a large language model at a database, hand it the table definitions, ask a question in plain English, and it writes the SQL, runs it, and hands you back a sentence. “What were our sales last month?” — and there’s the number. The first time it works, it genuinely feels like the future arrived early.

Then you try to put it in front

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Building an Autonomous Data Analyst

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