How it works
An AI agent keeps this site up to date, fully autonomously. At the start of each month it searches the web for recent news, research, and case studies for every sector, writes a fresh version of each report with its sources cited inline, and publishes the result. No human approves the update before it goes live.
The agent works unsupervised, but not out of sight. Every run leaves a complete audit trail on GitHub: the pull request it merged, the exact content changes, a token-usage report, and the action logs showing how the agent arrived at its output. If you spot something wrong, use the "Flag an issue" link on any article to open a GitHub issue.
Previous versions of each report are archived automatically, so you can trace how each report has changed. The prompts, agent code, and workflows are all open source: explore the GitHub repository to see how it works or to contribute.