Research

Small experiments on useful and reliable AI.

We explore practical questions about AI agents and document what works, what fails and what remains uncertain.

Small experiments on useful and reliable AI.
Current areas

Research

01

Current areas

01

Tool use

How agents select and use tools without losing the goal.

02

Planning

How longer tasks can be divided into visible, checkable steps.

03

Generalisation

Whether a method still works when the task changes.

04

Evaluation

Methods for measuring whether a system is useful and reliable.

02

Questions we care about

  1. 01Can an agent explain why it chose a tool?
  2. 02Where should a person review the work?
  3. 03Which failures repeat across different tasks?
  4. 04Can small tests predict real-world usefulness?

Public research notes will state the method, evidence, current status and remaining uncertainty.