Skip to content

Protocol Simulation

Dry-run a protocol and review predicted outcomes before the bench.

Last updated July 2026

The simulation engine uses AI to analyze your protocol design before you run it in the lab. It identifies risks, estimates resource requirements, and provides optimization suggestions at the step level.

Running a Simulation

  1. Open any protocol in the Manual Designer or click Simulate from the toolbar.
  2. Click Run Simulation in the Simulation tab. Analysis usually completes within a minute.
  3. Review the results across four output areas.

Simulation Outputs

Duration Estimate: total protocol time calculated from step durations plus standard overhead (setup, cleanup, prep). Given in hours.

Cost Estimate: a rough reagent and consumable cost estimate based on step count, equipment, and field complexity.

Risk Flags: specific issues identified at the protocol level, rated by severity:

  • High: issues likely to invalidate results or cause safety incidents. Must be resolved before running.
  • Medium: issues that may compromise data quality. Strongly recommended to address.
  • Low: minor gaps or opportunities for optimization.

Step-by-Step Analysis: for each step, the AI identifies specific issues (missing controls, temperature inconsistencies, ambiguous output criteria) and provides targeted improvement suggestions.

AI Recommendations: a 2–3 paragraph expert assessment of overall protocol feasibility, methodology rigor, and specific improvements to maximize success rate.

Simulation accuracy
Simulation quality improves with more complete step data. Steps with detailed instructions, defined durations, specified temperatures, and clear expected outputs will receive more precise analysis than sparse steps.

Simulation History

All simulation runs are saved and associated with the protocol. This allows you to track how protocol quality evolves across refinement iterations. Previous simulation results are accessible from the protocol detail page.

Related
Was this page helpful?Send feedback