Case Studies
Real examples of experiments run through Litmus.
Featured Case Studies
| Case Study | User Type | Budget | Outcome |
|---|---|---|---|
| AI Drug Screening | Virtual biotech | $12,000 | 3 hits identified |
Why Case Studies Matter
These case studies demonstrate:
- Various budget levels: From single assays to large batches
- Both positive and negative results: Science isn't just about confirming hypotheses
- Structured output enables automation: AI pipelines can integrate directly via webhooks
Key Takeaways
- Start with what's testable — You can't always test your ultimate question, but you can test the underlying mechanism
- Protocol design assistance works — You don't need to know the exact assay to get started
- Negative results are data — A rejected hypothesis is still valuable information
- Structured output enables automation — AI pipelines can integrate directly via webhooks