HUMMBL
Governance tooling for AI-native individuals, teams, and enterprises.
Canonical public home
Reuben Bowlby
AI governance builder and systems thinker.
Reuben builds governance infrastructure for AI systems through HUMMBL and related public research, with work spanning agent-aware tooling, auditable decision records, and accountable execution systems.
Current work
Governance infrastructure for AI systems
A model output is only part of the record. The harder question is why an action was authorized, which constraints governed it, and how that evidence survives review. Reuben's current work focuses on that accountability layer.
Auditable decisions
Practical structures for tying authority, delegation, and evidence together.
Agent-aware tooling
Systems for coordinating human and AI work with legible responsibility.
Writing
Selected public research and notes
Paper
The Governance Tuple
The Governance Tuple: An Atomic Record for Auditable Agentic AI Decision-Making formalizes a three-field record connecting authority, delegation, and evidence for agentic AI systems.
Projects
Public artifacts and systems
Platform
HUMMBL
AI governance work centered on provability, accountable workflows, and decision infrastructure.
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HUMMBL-dev
Public software surfaces and experiments connected to agent-aware infrastructure.
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HUMMBL Assistant
A public assistant profile connected to HUMMBL's AI workflow experiments.
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From performance systems to AI governance
Before his current work in AI governance, Reuben's public path ran through McKendree football, sport science, and high-performance coaching. That background still shapes the work: performance under constraints, feedback, accountability, and disciplined execution.
This site is the controlled index for Reuben's public work, selected writing, projects, and contact channels.
Contact
Use the controlled channel.
For work, media, collaboration, or corrections to this public record, use email.
[email protected]