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The Fastest AI Answer Is Usually the Wrong One

AI tools spot vague questions most of the time, yet ask about them in fewer than 5% of responses.

Executive summary Ask an AI agent if pipeline is up over last quarter and it’ll answer in two seconds. It won’t mention that it chose one of nine possible meanings to get there. New research…
Estimated Reading Time: 7 minutes
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/ 8 MIN READ

Connecting an AI Agent to a Semantic Layer with MCP

Executive Summary An MCP server gives an AI agent a standard way to connect to a system. It does not define what a metric means. Connecting to AtScale over MCP lets an agent browse a…

Posted By: Ryan Siegler

/ 11 MIN READ

A better LLM isn’t the biggest upgrade for Text-to-SQL

Executive Summary Seven LLMs answered the same 410 business questions from the BIRD-Interact benchmark , once against PostgreSQL with full documentation and once through an AtScale semantic layer. Their tool-call logs show seven working styles.…

Posted By: Ryan Siegler

/ 6 MIN READ

AtScale and OpenAI: The Comprehensive Guide

OpenAI has changed how people work. Enterprise teams use ChatGPT every day to draft, summarize, research, and write code. Building enterprise applications on business data is a harder row to hoe. Ask Codex to build…

Posted By: Mark Palmer

/ 10 MIN READ

Will the real semantic layer please stand up?

Executive Summary: A semantic layer defines business metrics and computes them on request. A universal semantic layer makes those definitions available across AI agents, BI tools, and spreadsheets, reducing duplicated logic. An AtScale customer-count example…

Posted By: Ryan Siegler

/ 9 MIN READ

BIRD-Interact, explained: the conversational text-to-SQL benchmark

What is BIRD-Interact? BIRD-Interact is an independent benchmark that tests how well AI systems complete database tasks through conversation. It evaluates whether a system can clarify a vague request, explore the database schema, write correct…

Posted By: Ryan Siegler

/ 7 MIN READ

You Defined Your Metric Once. So Why Don't Your AI Tools Agree?

Executive summary AI tools don’t agree because each one writes its own query, and the query is where a metric gets computed. A shared definition tells a tool what retention means, but the tool still…

Posted By: Naveen Hariprasad

/ 7 MIN READ

Self-Service Analytics Stalled Once. Will AI Stall It Again?

Executive summary Self-service BI stalled at about 25% of employees for more than a decade because the numbers didn’t agree, not because the tools were hard to use. AI chat makes asking easy again, but…

Posted By: Naveen Hariprasad

/ 7 MIN READ

Stop Writing Your Semantic Model. Start Reviewing It.

Executive summary AI tools, like AtScale’s CoModel, can now draft most of a semantic model, and that will change the data modeler’s job. Claude Sonnet 5, working through a semantic layer that AI generated and…

Posted By: Naveen Hariprasad