ParancU Agent Lab

From evidence retrieval to grounded answers.

ParancU Agent Lab explores what happens when ParancU retrieval becomes the evidence layer of an agentic AI workflow.

How it works

Document → ParancU Retrieval → Evidence Fusion → Generate → Verify → Grounded Answer
Verify → Missing Evidence → ParancU Retrieval

Retrieve and expand

ParancU retrieves the strongest evidence first. When the available evidence is incomplete, Agent Lab turns the missing information into a new retrieval question and searches for additional relevant chunks.

Fuse evidence

Evidence from multiple ParancU chunks is accumulated before the final answer, supporting questions whose information is distributed across different parts of the document.

Generate optionally

When using the server-assisted workflow, a temporary OpenAI API key can generate an answer from retrieved evidence. Imported prepared corpora remain local to the browser and require no API key for retrieval.

Verify and iterate

The workflow checks whether the accumulated evidence supports a complete answer. If information is still missing, retrieval can run again before the grounded answer is accepted.

Retrieval remains visible

Agent Lab does not replace ParancU's evidence-first approach. It builds on it: retrieval remains inspectable while generation and verification are added as optional layers.