AAIF Ambassador
Dakota Fabro
Contributions & Case Studies
Open-source contributions to the Agentic AI Foundation ecosystem - skills, tools, templates, and research advancing how practitioners collaborate with AI agents.
Contributions
Ambassador Portfolio
Configuration Effectiveness: Measuring Whether Your Agent Config Works
PublishedA new measurement dimension for rp-why that closes the feedback loop on AGENTS.md configuration.
ThreadWeaver
PublishedA consent-first conversational memory system for Goose sessions that brings prior strategy into active build workflows with policy-scoped retrieval.
Open Agent Harness
PublishedAn open-source Goose-compatible harness framework with scaffold and validation packages for team-owned AGENTS.md workflows.
Agent Harness
PublishedA practical harness pattern for structuring repeatable agent workflows, improving local iteration speed and operational clarity.
Context
About This Work
Cross-Discipline
Drawing from education science (Webb's DOK), cognitive psychology, and professional development to build frameworks that apply to any practitioner - not just software engineers. The Three Dimensions model measures AI collaboration maturity regardless of domain.
Measurement-Driven
The Three Dimensions framework (DOK, Tool Maturity, Agentic Delegation Trust) provides empirical measurement of collaboration depth. Every claim is backed by data.
Open Source
All code contributions are open source via block/agent-skills. The frameworks, templates, and measurement tools are freely available for anyone to use and extend.
AAIF Projects
Contributions span Goose (skills, case studies, data visualization) and AGENTS.md (templates, patterns for organizing agent context at scale).