Control Your AI Mind

Agentic workflows for economists and research people.

Learn to design, run, and verify AI agent workflows for economic research. Build agents that read, code, retrieve, analyze, and write under your control.

For economists, researchers, and policy minds

Applied economists Research assistants PhD applicants Policy researchers

Course map

A step-by-step path from foundations to research impact.

View full course
1Control

Delegate work without outsourcing understanding.

2Setup

Instructions, permissions, sandboxes, and logs.

3Contracts

Turn research requests into checkable tasks.

4Data

Move from source to figure to structured database.

5Writing

Use AI to clarify claims, not hide weak evidence.

6Verification

Build O-ring checks before publishing outputs.

Library

Search lessons, guides, templates, and datasets.

TitleTypeTopicLevel
Claude Code for Applied EconomistsCourseDataCore
Claude Blattman workflow libraryLibrarySystemApplied
Scott Cunningham econometrics checklistsSeriesVerificationAdvanced
StatsClaw statistical software workflowResearchDataAdvanced

Thirteen part covers, one operating system for agentic research.

Mindset first, tools second.

A researcher's path from prompt user to agent controller.

    Real artifacts, shipped with agent workflows.

    Patterns, templates, and tools worth testing.

    Loading library...

    A working backlog for the course knowledge base.

    Loading sources...

    Take back the controls.

    Thirteen parts, one manual, and a library that keeps growing. Start from the map, or read the full training manual first.

    Start with the map