What the documents look like
Brand self-operated livestreaming places scriptwriting, inventory, and after-sales responsibility on the brand itself, rather than on a commissioned creator. The working documents for this category are the livestream script, the product explanation card, the shift schedule, and the post-stream review. Operational data arrives from Douyin Shop Compass, Juliang Qianchuan, livestream comments, and transaction details, and it updates per session or per hour.
For the task of drafting product and marketing copy, two constraints follow. Promotional sentences inside the explanation card and the script need supporting material. Follow-up questions in the comment area and in the review need multi-turn context to be carried forward. The multi-turn prompts step handles material scope, history turns, question refinement, and reply format so that the model drafts inside the given material and leaves gaps where evidence is absent.
Constraints at the multi-turn prompts step
History turns control how many earlier rounds of chat the model may reference. A larger value makes earlier conversation easier to reach, adds more content, and can raise consumption and affect response speed. A value that is too small prevents use of prior information. Follow-up questions in brand self-operated livestreaming tend to circle the same product's price, inventory state, and activity conditions, so a small number of history turns is retained.
The reply cap controls the maximum length of a single answer. When set too low, the reply can be cut off early and an explanation card draft can lose items. A lower temperature produces steadier answers, which suits copy scenarios with explicit rules. Reply format is chosen according to the downstream consumer; selecting json_schema requires filling in the corresponding format requirement and checking the returned structure against it. Retrieval results supply reference content only and do not constitute authorization or business verification. A similarity value does not perform permission or entity filtering.
Hypothetical paper exercise sample: the material provided for checking reads, "This explanation card applies to the livestream room from 20:00 to 23:00 on 1 March 2025; the product is a certain insulated cup; the activity condition is a cup brush gift with the first 200 units." The proposed draft sentence reads, "This session gives a cup brush with the insulated cup across the board." The request awaiting judgment reads, "Draft the opening sentence of the explanation card from the material; do not add conditions the material does not state." The material gives the subject as a certain insulated cup, the object as the first 200 units, the state as an activity condition, and the effective range as 20:00 to 23:00 on 1 March 2025. The proposed sentence widens "the first 200 units" to "across the board," which falls outside the material scope.
Configuration and implementation checks
| Configuration item | Hypothetical starting value for this exercise | Reason for the choice and comparison method |
|---|---|---|
| AI model | Select a model that supports the required context length | Compare against the length of the explanation card and script to confirm the maximum context can hold the material |
| Memory turns | Retain a small number of history turns | Compare against the number of consecutive follow-ups on the same product and observe whether earlier conversation is pulled in |
| Reply cap | Set according to the explanation card draft length | Compare against the actual draft length and observe whether the reply is cut off early |
| Temperature | Lower | Compare against copy scenarios with explicit rules and observe the steadiness of the answer |
| Reply format | Keep the default for ordinary chat | Switch to json_schema only when a downstream flow needs to read a fixed format |
| Multimodal recognition | Decide whether to enable image recognition based on model capability | Compare against whether the explanation card contains product images; unsupported types are not sent to the model |
The values above are hypothetical starting points for this exercise and do not constitute official default values.
Three common errors
- Writing "the first 200 units receive a cup brush gift" from the material as "a cup brush gift across the board." The input is the hypothetical material text and the proposed draft sentence; the comparison is between "the first 200 units" and "across the board"; the observable result is that the proposed sentence covers a range wider than the material.
- Having the model fill in a specific inventory number when the material does not state an inventory quantity. The input is the material text and the proposed draft sentence; the comparison is whether the material carries an inventory field; the observable result is that the proposed sentence contains a number absent from the material.
- Treating a similarity value returned by retrieval as a basis for authorization or entity filtering. The input is the retrieval result and the drafting request; the comparison is between the similarity field and the permission field; the observable result is that the proposed sentence cites a product record for which authorization has not been obtained.
How to verify the setup
- Input the hypothetical material text and the proposed draft sentence "This session gives a cup brush with the insulated cup across the board." Compare the two range expressions "the first 200 units" and "across the board." If the proposed sentence covers a range wider than the material, judge it as outside the material scope.
- Input the hypothetical material text and the drafting request. Compare whether the material states an inventory quantity field. If the material does not state it and the proposed sentence contains a specific number, judge it as writing in a business fact.
- Input the hypothetical material text and the retrieval result. Compare whether the similarity field and the authorization field are the same field. If the proposed sentence cites a record for which authorization has not been obtained, judge it as unauthorized citation. The above is a paper check and no test was actually executed.