Start with a case you know.
Pick one real row and note the answer you expect. Everything you build is tested on it first.
Build one step at a time.
Start, fetch, read, ask AI and send. Each change is a new version, so you see which change helped.
Check it against your expert.
Put your expert's answers in the next column. DAGL counts where they agree, and shows the step that went wrong where they do not.
How you know the answers are right →Know the cost before you run.
See how many rows it will read and what it will cost. Nothing is sent until you start it.
What AI costs per answer →Run it on every row.
Open any answer to see what it read, the instructions it followed and the version that made it.