Case study · 02
Rentora
Intelligent operations for rental and event-production workflows.
Independent product · End-to-end engineering
The problem
Start with the work people need to do.
Real rental requests arrive as messy language, while operations require exact, reviewable plans.
A rental team may receive a rough request for an event. Rentora helps turn that request into a plan for equipment, people and delivery, with the details available for review before anyone acts.
What I built
A language-to-operations system for material, inventory, crew, logistics and readiness.
A full-stack intelligent operations product that translates messy operator language into structured operational state through domain modelling, validation and deterministic reasoning.
- AI Product Engineering
- Intelligent Systems
- Full Stack Engineering
- Structured Interpretation
- Domain Modelling
- Deterministic Reasoning
An engineering decision
Make the important behaviour explicit.
Make structured interpretation and deterministic domain reasoning the foundation, with model usage treated as an architectural choice rather than the product definition.
My responsibility
Own the product beyond an individual feature.
I lead this independent product from understanding the problem and shaping the design through implementation, delivery and iteration.
My scope connects request interpretation with material, inventory, crew, logistics and readiness planning. Validation and review are part of the workflow, alongside the interface and delivery of the product.
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