Agent interaction research
experimentalresearchpublished
A reproducible empirical study of which human turns in agent sessions carry judgment and which can become deterministic or delegated workflows.
- Locked revision
a95ea8fefa46- Latest release
- Not recorded
- No release exists in the current snapshot
- Primary outcome
- Understand
- Audience
- Evaluator, Researcher, Developer
Recommended start
Begin with the repository-owned adoption path.
Agent interaction research
Extract a frozen local corpus and reproduce the measurement and workflow-mining stages without model calls.
- Path
- source build
- Time
- about 10 min
Needs: Python 3.13, uv, Task
Reproduce the deterministic stagesAudience Evaluator, Researcher, Developer
Public surface
Continue into declared documentation and machine interfaces.
Sections
- Unified documentationDocs
- Run the studyQuickstart
- Pipeline stagesReference
- SourceSource
APIs and schemas
No machine specification is declared.
Feeds
No repository feed is declared.
Declared relationships
See what this project points to—and what points here.
Outgoing
- Informs Agentic PrinciplesGrounds principles in observed agent sessions
- Informs AEPIdentifies work that benefits from governed workflows
- Informs Agent PluginsIdentifies repeatable guidance and tool paths
Incoming
- beyond10x Introduces this project