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Tagged: Analytics
Agentic Analytics Is More Than Text-to-SQL: Lessons From Anthropic
What Anthropic's self-service analytics post says about semantic layers, skills, evals and data foundations, and why text-to-SQL alone gives a false sense of precision.
17 min readAgentic Analytics in Practice: A Slackbot, a Semantic Layer and Buy vs Build
Agentic analytics at a tech company: a talk-to-your-data Slackbot, a semantic layer that had to scale, the call to buy Omni, and why adoption mattered most.
8 min readClickHouse MCP and the Limits of Read-Only: Structured Access for Agents
Read-only MCP access stops writes, not wrong numbers, tenant leaks or schema exposure. See what the ClickHouse benchmark shows and how structured metric tools reduce the risk.
8 min readPractical notes: MCP for Analytics: The Protocol Solves Connectivity, Not
Operable walkthrough of Practical notes: MCP for Analytics: The Protocol Solves Connectivity, Not: contracts, checks, and drop-in code slots for teams shipping this pattern.
8 min readPractical notes: The Semantic Layer, Explained: The Meaning Layer Your AI Agent
Operable walkthrough of Practical notes: The Semantic Layer, Explained: The Meaning Layer Your AI Agent: contracts, checks, and drop-in code slots for teams shipping this pattern.
9 min readFrom NL-to-SQL demos to a sandboxed AI analytics assistant
From NL to SQL demos to a sandboxed AI analytics assistant: schema allowlists, static checks, isolated execution, result caps and audit logs on every query.
4 min readInstrument teacher workflows with PostHog autocapture and custom events
Layer PostHog autocapture, outcome events, session replay, and person timelines so AI-assisted teaching products measure completed jobs—not only clicks.
4 min readHow the GA4 DataLayer Determines Whether Your Analytics Are Real
Explains how the dataLayer bridges websites and GTM to GA4, why bare events break ecommerce reporting, and how to structure and debug pushes correctly.
12 min readWhat Blender MCP Reveals About Building Useful MCP Servers
Explores how MCP servers work, what Blender MCP demonstrates about tool design, and why measuring real usage matters for building trustworthy integrations.
11 min read
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