How do we make harnesses for phases of our process AI model agnostic and how do those harnesses connect and feed one another.
Discovery deliverables generated from a structured evidence log, with confidence carried into every sentence so a roadmap never claims more than the research behind it. Stacks is the companion surface where that evidence lives.
Domains, capabilities, levels, roles and seats collapsed into a single list, with the capability as the atomic unit. Clients buy capabilities and the firm fulfils them with people in seats. Published as a documentation site and exposed to agents over MCP.
How does an AI-native SDLC operate today with shared context amongst projects. How do we create golden data sets, and make seemingly large efforts repeatable and consistent.
Designing shared understanding across a complex integration ecosystem
