How to Query ServiceNow Data with AI When the Join Isn't a Foreign Key
DRAFT. Incident extends task, so the join between them is not a foreign key. Introspection has nothing to infer and the governance analyzer never sees the join.
How to Build a Salesforce Semantic Model That Can't Double-Count Your Pipeline
A four-step walkthrough on replicated Salesforce: introspect the schema, correct the grain and the custom fields, sign the definitions off, then verify the breakdown ties to the total.
How to Connect Your Warehouse to Claude, Cowork and ChatGPT
Claude Desktop launches an MCP server on your machine. Cowork, claude.ai and ChatGPT connect inbound from the vendor's cloud. Which route you need is decided by one question.
How to Query Salesforce Data with AI Without Double-Counting Your Pipeline
The QBR needs eight quarters of pipeline by product. Salesforce cannot produce it, so the data lands in a warehouse. There the same question overstates pipeline 2.5x and reorders the slide.
The Data Lake Promise Might Finally Be Coming True
We dumped Salesforce and ServiceNow into the lake and got a landfill of codes and GUIDs. Why the missing ingredient was always context, and how AI finally makes it affordable.
The query we refuse to run
A fan trap or chasm trap can inflate an aggregate by 3x and nothing errors. Here is how our Analytics Agent detects the hazard from join cardinality and refuses to ship the wrong number.
Snowflake Cortex Analyst vs Databricks Genie vs BigQuery Gemini: warehouse-native AI compared
An honest head-to-head of the three warehouse-native AI products. Where each wins, where each loses, and the architectural blind spot they all share.
Why naive prompting isn't a data agent
A staging Postgres taken down. Wrong customers in dashboards. 4% revenue drift. Three production failures that taught us a data agent is context engineering, not prompting.
The Semantic Model Is Having Its Moment
A decades-old BI concept just hit its all-time search peak. Every AI data agent in production now sits on top of a semantic model, and most are locked to one vendor's stack. Here is the history, the current landscape, and the open standard that breaks the lock-in.
Buy a CRM Subscription. Own Your Data Agent.
AI is killing SaaS, but the data agent is the one piece you should own. Here is the architecture OpenAI, Meta, and Notion converged on, and three ways to ship yours.
Document Processing - The Mapping Problem
Semantic mapping turns extracted data into reliable system state. Learn how to build, evaluate, and productionize it.
Document Processing: Validation is Plan A
Most document AI systems fail after extraction. This deep dive explains why validation breaks on an example invoice pipeline and how to fix it.