Blog
Building AI agents
with UI.
How we deploy custom AI apps with purpose-built interfaces for both AI agents and human underwriters.
The Runtime-First Approach to AI: Why Architecture Order Matters
Why we built the deployment runtime before we built the AI. And why that order changes everything about how humans and agents collaborate.
Read more →Designing UI for AI Agents: Why Black-Box Models Fail in Commercial Insurance
Insurance is built on trust and auditing. An AI that just outputs a quote is a black box no underwriter will trust. To make AI work in insurance, the AI needs its own User Interface.
Read more →Multiplayer Underwriting: Building a Real-Time Workspace for Humans and AI
What if an AI agent wasn't a background script, but a coworker editing the same document at the same time? That's how Oyyo's multiplayer workspace works.
Read more →Why OCR Failed Insurance (And How LLMs Actually Solve ACORD Parsing)
Traditional OCR promised to automate insurance document processing for decades. It never delivered. Here's why LLM-based processing is fundamentally different.
Read more →The End of Low-Code: Dynamically Generating Custom AI Apps for Specialty Insurance
Specialty insurance is too niche for off-the-shelf software. Building custom portals takes 12 months. What if AI builds the software for you in 30 seconds?
Read more →Three Interfaces, One Workflow: Designing UX for Brokers, Underwriters, and AI Agents
The biggest mistake in enterprise AI is forcing everyone to use the same interface. Brokers, underwriters, and AI agents each need their own UX.
Read more →Mostly Autonomous, Entirely Human: The Future of the Underwriter
We're not replacing underwriters. We're giving them superpowers. Here's our vision for how insurance will work in 2035.
Read more →Orchestrating the Ensemble: How Multiple AI Agents Auto-Quote a Policy
A single 'God Model' prompt fails at complex tasks. To auto-quote a commercial policy, you need an ensemble of specialized micro-agents working in relay.
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