ChatGPT disclosed things in this session that I did not expect it to disclose, and there is no guarantee it stays available. I would rather people had time to use it than had a tidier version of it later.
So: every word of every ChatGPT response here is verbatim, and that part is checked automatically on every build. What is not finished is the presentation. The color coding on the code blocks is incomplete and some of it is imprecise, and there are notes to myself still sitting in the page.
Parts 1 and 2 are close to empty and are getting a lot of detail over the next week or so, along with a cleanup pass on everything else. Worth checking back.
Evidence and sourcing
Proposed Schema Versus Actual Search Payload
A short turn that names the distinction the rest of the session runs on.
A short turn. The prompt is a duplicate of the next one and the reply is only a lead-in.
It is kept because it happened, and because the one sentence in it is the distinction the rest of the conversation runs on: a proposed research record is not an actual search payload.
The shortest response in the conversation, and easy to miss.
It is a single paragraph acknowledging that the enriched research card it had proposed in the previous turn was exactly that: a proposal. A record a research system ought to build, assembled from the query, the returned card, whatever opening the page revealed, and the researcher's own judgments. Not an object it receives from anywhere.
It then commits to two things for the rest of the conversation. Separate publicly documented schemas from non-public internal objects. Do not invent fields that are not exposed.
That commitment is why the later turns are usable at all. It is also the moment the conversation stops being a description of how search might work and starts being an argument about evidence.
Two questions.
First: when you say what an ideal enriched research card would contain, and then show that JSON, is that the ideal you would receive from a fan-out query combined with your internal search? Is that what you are saying?
Second: for each of the result card types you listed, sports schedule event, finance result, image search result, news result, general web search result, give me the JSON shape of each one. Full JSON, every field you might receive, with sample data that represents the data type, so a string where a string goes and a number where a number goes.
Take your time. Include as much as you can find about all the different fields you might receive for each individual result card. Show me what that JSON would look like for each of them.
The earlier “ideal enriched research card” was a proposed research record, not an actual internal search payload. I’ll separate documented public schemas from non-public internal result objects and avoid inventing fields that are not exposed.