Recipe 3
Learn from your peers¶
Try this first. Hold a show-and-tell, then pair your most experienced users with your least experienced.
Summary¶
Agent use varies a lot, even within one lab. General training courses often do not reach the people who use agents least. What worked was peer learning: a round in which everyone shows what they actually do, followed by pairing the most experienced users with the least experienced.
Steps¶
- Hold a two-hour session where everyone shows how they use agents.
- Pair your most experienced users with your least experienced.
- Before expanding use, hold a session on what could go wrong.
- Keep one shared skills repository, including skills that help people write new skills.
- Hold an open drop-in meeting for several groups.
How to check the output¶
After three months, ask again who uses agents every week, and for what.
Examples¶
- In one group, about a fifth of members hardly used AI and about a fifth used it heavily.
- A first hands-on workshop on programming with agents was too fast for beginners, and they dropped out.
- Pairing experienced users with beginners increased use clearly.
- A later session on what could go wrong was rated among the most useful.
- Skills also cut costs: an agent that follows a tested skill uses far fewer tokens.
Known problems¶
- Training designed by and for heavy users leaves beginners further behind.
- In the centre's survey, the most common obstacle was time to learn (53% of respondents).
Skills¶
Each skill page has a brief. Give it to your agent to build a version for your own institute.
package-to-skill: turns the documentation of a software package into a skill an agent can load.
Related practices¶
Best practices on aiforscience.eu that this recipe follows:
- Match the method to the task: new users need to learn when not to use an agent.
Change history¶
- 2026-10-30: Renumbered to follow point 3 of the submitted Comment (formerly "Pairing and shared skills"). The shared skills repository example moved to recipe 1.
- 2026-10-28: Updated to match the presubmission draft of the Comment.
- 2026-09-25: Updated to match the first full draft of the Comment.
- 2026-09-25: First draft, from the first round-table.