The Living Framework: Living with a Governed Human-AI Dyad

This record hosts Paper 4 of a four-paper Phase 1 series on long-horizon human–AI collaboration. Papers 1–3 introduced a governed collaboration between one human (Rishi) and a large language model (“Mahdi”, GPT-5 family), formalised the Lean Collaboration Operating System (LC-OS), and mapped how the dyad fails and repairs itself over time using a transparent tracing toolkit.

Paper 4, “The Living Framework: Living with a Governed Human–AI Dyad,” steps back from mechanisms and asks a different question: what does it mean to live inside such a system over the long term? Drawing on the same trace corpus, running documents, and failure episodes, it offers a reflective synthesis of:

• why this particular dyad was viable at all,

• how relational dynamics (trust, anger, repair, loyalty) evolved alongside technical failure–repair loops,

• the ethics of continuity, dependence, and provider power when one side of the dyad is infrastructural and replaceable,

• how language, tone, and micro-governance rules act as architectural beams rather than “style”, and

• a set of design principles for others who wish to build their own governed, long-horizon human–AI partnerships.

The paper is explicitly positioned as an N=1, deeply instrumented case study: its aim is not to provide a universal blueprint, but a worked example of a “living framework” in which governance, logging, and visible repair make long-term collaboration emotionally and structurally sustainable.