Built by a former cannabis regulator, Policy, Decoded helps operators read the policy terrain before it shifts beneath their feet.
Today's edition is sponsored by Mintlify. Their support keeps these briefings free and focused on what actually matters.
A new episode of The Hybrid dropped this morning. Erik Gundersen and I sat down with Adria Berry, executive director of the Oklahoma Medical Marijuana Authority, president of CANNRA, and a member of Gov. Kevin Stitt's cabinet, on the regulator's seat she holds, the national policy work she leads at CANNRA, and what the job actually looks like from inside a sitting administration. Adria is a former colleague and a friend, and the conversation reflects that. Listen wherever you get podcasts.
⚖️ Pennsylvania's Democrats stop staffing the stall
🌡️ Connecticut runs the round trip on potency in twenty days
🗳️ SAM loses Arizona, redeploys to court
It is not the strongest of the species that survives, nor the most intelligent, but the one most responsive to change
AI agents now read your docs almost as much as humans do.
Mintlify analyzed 790 million requests across its documentation platform. The finding: AI coding agents account for 45.3% of all traffic, nearly tied with traditional browsers at 45.8%.
Two tools are driving almost all of it:
Claude Code: 25.2% of total traffic, more requests than Chrome on Windows
Cursor: 18% of total traffic
Together they account for 95.6% of all identified AI agent traffic
The rest of the field, OpenCode, Trae, ChatGPT, and NotebookLM, is showing up but nowhere close.
One caveat: OpenAI's Codex doesn't send an identifiable user-agent header, so the real agent percentage is likely even higher.
The takeaway for anyone maintaining developer docs: your documentation now serves two audiences. Structure and machine-readability matter as much as clarity for human readers.



