Does your research project need AI?
10 questions to decide whether a RAG system, AI agent, automation or reproducible pipeline makes sense for your group right now.
Download the checklist
A short guide to check whether your group has a real use case for AI: available data, repetitive tasks, scattered literature, automation potential and criteria for deciding the next step.
Includes 10 questions and a quick reading of the result: 0-3, 4-6 or 7-10 signals.
A quick way to separate hype from real return
The checklist covers the bottlenecks I often see in research groups: literature reading, unstructured data, repetitive analysis, grants, documentation and team transfer.
When not to use AI
If the main problem is missing experimental judgment, incomplete data or unclear objectives, AI is not the first step.
When to explore
If there is repetitive work, scattered literature or clear manual processes, a technical mentoring session can be enough to define the first pilot.
When to pilot
If the group already has data, documents and a stable workflow, a 4-8 week pilot can deliver a reproducible system.