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
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
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
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
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
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
Tools and methods from real investigations with AI
Members get the tool suite, a monthly workshop and newsletter, and office hours every two weeks.