Research
This section publishes public-facing engineering notes from American Dev Corp. It is designed as a readable research journal rather than a marketing feed: concise where necessary, careful about boundaries, and focused on governed systems work that can be discussed safely in public.
iLiC is a governed cognition architecture exploring deterministic control, memory continuity, and advisory AI behavior under explicit state-machine constraints. These notes are meant for technically serious readers who want architectural clarity without access to private repositories, private memory contents, or sensitive implementation details.
iLiC Notes 001
A public architecture note on deterministic control, memory continuity, and AI as advisory infrastructure.
A first public framing of why governed cognition is a different design problem from generic assistant behavior, and why explicit runtime control matters.
iLiC Notes 002
A draft note comparing survivable memory structures with familiar assistant-style memory features.
A public distinction between memory continuity as system substrate and memory as a convenience layer in ordinary AI products.
iLiC Notes 003
A runtime-governance note on mutation trust, overwrite visibility, and explicit preservation semantics.
A focused paper on why continuity systems must distinguish creation from mutation and make overwrite behavior visible before commit.
iLiC Notes 004
A research note on distributional convergence, recursive reinforcement, and why governed cognition remains important.
A public argument that recursive probabilistic systems may over-optimize toward consensus replication unless bounded by clearer governance structures.