Documentation
The Commonplace tracks academic research on AI's economic impact. An automated pipeline pulls new papers every day, grades the evidence, extracts claims and writes summaries. It is a research-acceleration tool, not a peer-review system.
Every direction, evidence grade, paper type and outcome category on this site is assigned by a language model and has not been checked by a human researcher. Read the limitations before you rely on anything here.
Orientation
Start here
What The Commonplace is, what it is not, and how to read it without over-trusting it.
Guide to the sections
What each part of the site is for, and when Evidence, Explore or a synthesis is the right place to look.
How it works
The evidence layer
How claims are graded, what each label means, and how tensions between claims are detected.
The intake pipeline
How a paper travels from a source feed to a graded record, which model does which step, and what gets excluded.
Trends and analytics
What the Trends views measure, and what they cannot tell you about the wider literature.
Sources and coverage
Which feeds are searched, which topics are tracked, when collection started, and where coverage is thin.
Programmatic access
MCP server
Connect an AI assistant to the corpus over the Model Context Protocol. Configuration for every major client.
MCP tool reference
Every tool, every argument, and what each one returns.
Reference checker
Check a bibliography against an economics corpus, and what a miss does and does not mean.