The record of the work shows how to improve it
Every page of the full read keeps a record of what reading it cost and what the review settled, down to the time and tokens the reading model used for each part of the page. After the first 70 pages I had those records analysed. They showed that each page was read in pieces of up to 25 sentences, and that every piece paid the same price to start before its first sentence was read. I approved all nine recommendations of the analysis, the reading became a skill of its own, and a page of up to 60 sentences is now read in one piece. In the pilot on five Illinois pages, that halved the reading model's tokens per page against comparable pages. For anyone running AI on repeated work, a record of every run shows where the next one can cost less.
Each round starts from what the last one learned
I decided that each state is brought up to date in a round of its own, and that every round ends by writing its lessons into the skill that runs the rounds before the next state starts. The skill carries the lessons of Connecticut, Illinois, the sweep that cleared the open items of the first four states, California and New York, each a rule a round worked out, such as testing whether a site that seems to refuse a request has a fault in its certificate before calling it blocked. That sweep wrote that the independent check of thirty random claims against freshly fetched official text runs in every state, and the California and New York rounds that followed both ran it. For anyone running the same work again and again, writing what each run taught into the instructions the next run starts from means no run has to learn it twice.