Watch the pipeline in order: intake confirmation, literature QC, evidence retrieval, plan generation, then internal QA.
1.Use the conversational intake chat to describe the intervention, model system, endpoint, and comparator in natural language.
2.Let Operon AI keep asking follow-ups until the planning brief is sufficient for a real protocol, budget, and validation design.
3.Review the synthesized hypothesis preview before starting analysis.
4.Read Literature QC before the plan appears, then inspect the final protocol, materials, timeline, and validation sections.
5.Treat the final draft as a quality-checked starting point for scientist review, not as unreviewed raw model output.