Human-in-the-Loop Is the Feature
The most common criticism of human-in-the-loop AI is that it slows things down. We think that misses the point entirely.
Onboarding Is the Product
In an AI marketing platform, onboarding is not a gateway to the product. It is the product. The data gathered in the first session shapes every interaction that follows.
Orchestrating Multiple Minds
Cleo uses different AI models for different tasks - not because we could not standardise, but because specialisation produces better results. Here is our philosophy of multi-model orchestration.
Context Is Information Architecture
The quality of an AI system is determined less by the model and more by what information reaches the model at the right time. Context assembly is the discipline that makes everything else work.
Warmth as Architecture
Most AI products lean into cold, technical aesthetics. We went the opposite direction - and it was not just a visual choice. It was an architectural one.
The Service Boundary
Between our AI and our data sits a disciplined layer of typed services. This boundary is the single most important architectural decision in the entire platform.
Trust as a Design Variable
In AI products, trust is not a feeling - it is an architectural decision that touches every layer of the system. Here is how we think about engineering for trust.
Why One Mind Beats Many
The industry is building swarms. We built a single intelligence with full platform control. Here is the reasoning behind that architectural decision.