What is DeepSeek?
DeepSeek develops AI models and provides a chat service through its website and mobile apps. People use it for conversations about questions, written material and code.
How it works with Fortiana
An analysis may end with useful questions as well as conclusions. DeepSeek conversation threads can preserve the assumptions supplied by the user and the alternatives discussed with the model. Importing that history gives Fortiana the written context to revisit, while keeping the conversation distinct from evidence about events outside it.
What the import includes
- Conversation threads
- Conversation metadata present in the export
Not included: Live API access; Automatic ongoing updates.
How you can use it
For example, you can ask questions such as:
- Which assumptions did I give the model?
Locate the inputs stated by the user and distinguish them from assumptions introduced in the response. - What did the comparison leave unanswered?
Use the discussion to identify gaps that were raised but not resolved. - What information did I still need to collect?
Find the missing input named in the conversation before carrying the analysis forward.
Prepare your export
- Prepare the export. Obtain the DeepSeek export containing the discussion you want to add.
- Check its coverage. Review the included conversations and export date before deciding which earlier work it represents.
- Keep track of newer exchanges. Prepare another export if later discussion is needed; the imported history does not refresh automatically.
An import captures the history present in the export. Later changes require a newer export; they are not added automatically.
Can a model’s conclusion be used as source evidence?
The conversation records the conclusion the model produced. Its factual basis still needs the relevant source; importing it does not independently validate the conclusion.
