AgentTrainer
Evaluating and training AI
Most organisations tweak prompts until the output looks good. That still tells you nothing about whether your agent has actually improved. AgentTrainer brings the discipline of learning and development to AI: a cycle you can repeat and whose outcome you can prove.
AgentTrainer
What it is
-
A competency profile with rubrics: what should this agent be able to do, and how well?
-
A baseline measurement showing where the agent stands today — as a score, not a hunch.
-
Training with increasing task complexity, based on the 4C/ID model from instructional design.
-
Evaluation across four levels, following Kirkpatrick: from reaction through to actual results.
AgentTrainer
The cycle
- 1
Diagnose
A structured baseline measurement against a rubrics-based competency profile. You know where you are starting.
- 2
Intervene
Targeted training with tasks that grow more complex step by step, instead of scattered prompt tweaks.
- 3
Evaluate
Continuous measurement across four levels, so improvement shows up in the work and not just in the test set.
- 4
Grow
The profile is sharpened and the tasks get heavier. The agent grows with what you ask of it.
Who it is for
- Organisations with agents in production that need to know whether they are good enough
- Teams moving from experimentation to demonstrable quality
- Anyone accountable for what AI does inside a work process
Find out more
The full framework is documented on the AgentTrainer site.
Wondering what agents could do in your organisation?
Send a message describing what is going on. You will get a concrete answer about what is and is not realistic — not a sales pitch.