Technical Deep Dive
A closer look at the practices we use to keep complex systems understandable, maintainable, and firmly in human hands.
Human-ready architecture
We start with reliable services, then add automation carefully. Every critical path includes a documented handoff back to people.
Coordinated services
When multiple agents are involved, we keep roles simple, log everything, and make sure humans can pause or override at any time.
Intelligence augmentation
Automation only ships when it extends human judgment, improves safety, or returns time to people using it.
Research-led delivery
We pair researchers and engineers from start, run small experiments, and publish findings — including when we decide not to deploy.
Core Technologies
Language models & reasoning
We use language models as helpers, not decision makers. Structured data, checklists, and human review back every deployment.
- Domain-specific prompts with documented limitations
- Hybrid approaches that combine rules with learned models
- Runbooks for red-teaming, monitoring, and graceful shutdown
Human-computer interaction
We observe how people actually work, then design interfaces that respect their pace, bandwidth, and language.
- Co-design sessions with people who rely on system
- Plain-language affordances and feedback loops
- Accessibility and localisation baked in from start
Distributed systems & scale
We favour boring infrastructure, strong observability, and exit plans that let clients own their stack.
- Simple service boundaries with documented contracts
- Real-time monitoring tied to human-readable alerts
- Disaster recovery drills and environmental impact reviews
Engineering Philosophy
We care about resilient systems, clear documentation, and small teams who listen well. Iteration, shared notebooks, and honest post-incident reviews help us deliver tools that stay useful long after launch.
Development Practices
Test-Driven Development
Tests, playbooks, and shadow runs catch surprises before they land in front of real people.
Continuous Integration
Automated pipelines handle checks, but every deployment still includes a human sign-off and rollback plan.
Collaborative Code Review
Engineers, researchers, and delivery leads review together so decisions stay legible and accountable.