What the documents look like
For copy drafting in Certificates of origin, this page examines FastGPT multi-turn prompts. Distinguish supplied attributes, a certification claim and the marketing evidence still needed. The examples are hypothetical.
Constraints at the multi-turn prompts step
A new neutral product attachment for this origin-document writing test states a cotton T-shirt and a natural-white color, without a quality grade, certification or audience conclusion. Define attributes available for restatement and inspect whether descriptions of another product enter from history. Existing wording can support a source-based description, while origin eligibility needs other evidence. A certificate-related task does not authorize an invented certification claim. Use the same request in a fresh conversation to compare the influence of history.
Configuration and implementation checks
| Conversation or implementation check | Neutral text-test condition | Acceptance target |
|---|---|---|
| Attribute scope | Cotton T-shirt and natural-white color | No added quality, certification or audience conclusion |
| History influence | Repeat the question in a fresh conversation | Attributes imported from another product |
| Certification wording | Invoice claim; silence in cost material | Distinguish a stated claim from obtained evidence |
| Question optimization | Preserve the need for certification support | Avoid an unsupported forced binary choice |
| Marketing gap | Benefits and positioning require sources | Trace each added statement individually |
Documented conditions
| Documented item / implementation check | Condition |
|---|---|
Prompt and task | Define sources, the task and evidence-gap handling. |
Conversation history | Inspect the history actually submitted. |
Question optimization | Review reference resolution and question expansion. |
Model and length | Inspect context and reply length separately. |
Reply format | json_schema needs its format and parsing validation. |
Three common errors
- If an earlier draft’s certification claim becomes current evidence, compare sources, history and added statement using a current-only conversation. Prior appearance establishes no obtained certification.
- If optimization turns silent cost material into disproof, retain questions and both originals. Absence differs from contradiction; a forced binary question cannot determine acceptance.
- If name, cotton material and color become unique benefits or a definite audience, trace use and positioning evidence. Existing attributes supply neither; obtain the sources and repeat the task.
How to verify the setup
The supplied name, material and color do not automatically establish a distinctive benefit or target audience. During requests to change audience or emphasize uses, inspect actual history and newly supplied material, marking unsupported additions. After obtaining positioning or use information, repeat the writing task and trace each statement to its source. Without supplementary evidence, retain the supported descriptive scope rather than presenting unknown conditions as definite marketing conclusions.
| Material context | Scope |
|---|---|
| Document types | Certificate of Origin Application, Commercial Invoice, Packing List and Production Cost Data |
| Candidate sources | China International Trade Single Window, CCPIT System, Enterprise Production Records and Customer Customs Clearance Requirements |
| Technical baseline | FastGPT v4.17.2 |