AI Systems
The decisions behind the AI, not the models behind it
These examples connect model behavior to human judgment: interpreting a prediction, reviewing a draft, asking for better help, or inheriting a decision. Each links to its evidence and limitations.
Keeping people in control
When an AI can act, not just answer, what stops it acting on your behalf without your say-so?
Knowing when not to comply
What should a system do when giving someone exactly what they asked for works against them?
When giving the user what they ask for is the wrong answer
The design question behind Flexi: what an AI should do when satisfying a request undermines the user's actual goal.
Open evidenceVisible choices after the first explanation
Follow-up actions offer simpler explanations, analogies, translation, detail, rephrasing, and challenges.
Open evidence
Being honest about limits
How does a system show the edge of what it knows, to someone with no way to check?
Make uncertainty interpretable
The Foresights range view makes uncertainty visible instead of implying a precise single value.
Open evidencePerceived value exceeded comprehension
Two published evaluations, ten teachers each using a demo class, found graph difficulty for half of participants.
Open evidence
Context that compounds
How does work accumulate instead of restarting from an empty box every time?
Every opportunity is a persistent workspace
The central product decision: an opportunity is the unit the whole system is organised around, and context accumulates inside it.
Open evidenceDownstream artifacts inherit upstream work
Research feeds the resume, the resume and research feed outreach, and all of it feeds interview preparation — nothing restarts from empty.
Open evidenceLUMO as a context-aware layer, not a separate chatbot
The AI operates across the opportunity workspace rather than sitting beside it as an isolated chat surface.
Open evidence
Systems with more than one user
How do you hold competing needs together without quietly picking a winner?
Built, not just specified
What does the architecture actually look like underneath?
