Developer research
Investigations into embodied robotics, AI agents, and emerging tooling for developer documentation.
Research areas
Developer research and documentation projects
Embodied robot platform
Our robot is a research platform for embodied AI, with the goal of building an expressive, hyper-perceptive, and intelligent robot that you can interact with physically and digitally. Additionally, the core of the robot will operate independently from reliance on, control by, and character influence of data centers while still being able to leverage external resources, making it truly personal to the owner.
See the Robot dev docs and Robot build blog for more information.
Spatial memory
Long-range 3D mapping with persistent recall and temporal analysis
Embodied interfaces
Presence and interaction on multiple platforms, physical and digital
Sandboxed frontier AI
Frontier models isolated from the control layer
Federated compute
Networked machines extend computing resources on demand
Continuous learning
A subsystem for accumulating knowledge through world interaction
Emergent personality
Stable identity and behavior across sessions and embodiments
Arbiter: Informed flow investment research
On the surface, Arbiter is a multi-agent AI investment council. Live market data and web research feed a panel of specialist agents that reason independently, then a chair agent synthesizes their reports into structured recommendations. Recommendations, agent reports, and trade outcomes persist to a ledger that an overnight learning pipeline mines for patterns, producing artifacts that improve the specialists on subsequent runs.
Live data Market APIs and web agents Research Specialist agents Synthesis Frontier model Learning Overnight sync
Informed flow
Conflict, misinformation, and insiders
Arbiter was conceived in response to instability that made the stock market too volatile for consumers while allowing officials, large institutions, and their associates to leverage inside information and public misinformation. Arbiter doesn't just consider geopolitical risk, insider trades, and social sentiment; it lets ordinary users call out and focus on specific events using real data.
Developer documentation research
Our documentation research focuses on UX-driven documentation, style guides, templates, and AI tooling that structures and streamlines how developers and technical writers scaffold and refine documentation at speeds that keep up with today's fast-paced AI-driven workflows.
Documentation UX
How readers navigate, understand, search, and apply documentation.
Information architecture
Organization, taxonomy, navigation, and discoverability within documentation systems.
Developer contribution
How and when developers and technical writers contribute to documentation.
Style guide systems
How to design, encode, and enforce writing standards.
Contributor performance
The performance of stakeholder and AI-generated content.
AI integration
How to use AI in your documentation workflow.
Future projects
Collaborate on documentation research
If you're working on developer-facing products, gaming, AI, robotics, or related research, we're interested in collaborations.