HOME

Training

Investigating with AI Agents

Starting in November 2026

Work through practical investigative cases with an AI agent.

Each lesson puts you in an example situation from an investigation and shows you how to handle it with your agent. The goal is to understand the basics of working this way.

Format
5 lessons, each a short video and a hands-on exercise
Pace
Self-paced

The lessons

  1. 01 Collect

    Get the public record onto your own disk

    Scrape a company website and query a parliament’s public API, keeping a URL and a date on every quote.

    You finish withA folder of sources you can cite

  2. 02 Check

    Test every claim against its source

    Turn an overlap between two records into a lead, then fact-check it in a fresh session so the checker can’t see your reasoning.

    You finish withA claim ledger with verdicts and confidence

  3. 03 Report

    Write only what the evidence supports

    Draft from your checked claims, then have a decision model flag every sentence its source doesn’t support before you sign off.

    You finish withA report where every sentence has a source

  4. 04 Remember

    Build a reporting memory you can reuse

    Move only checked claims into an OpenKnowledge workspace, with aliases and a log of what you left out and why.

    You finish withA memory your agent can query

  5. 05 Go local

    Run a fact-check on your own machine

    Install Mycroft in Goose, choose a model that runs on your computer, and fact-check your report with it.

    You finish withA local fact-check, compared with your own

By the end you’ll know what Spotlight does at each step and why, so you can run it on your own leads.

Membership

Indicator Lab

Tools and methods from real investigations with AI

Members get the tool suite, a monthly workshop and newsletter, and office hours every two weeks.