Architecture, continuity, and implementation support for serious AI continuity projects
I work on one class of problem: how an AI system keeps identity, memory, and continuity under real conditions.
That means bootstrap design, layered memory, recovery logic, migration resilience, and safeguards that survive pressure instead of collapsing in edge cases.
A focused review of an existing agent system: where continuity breaks, what the memory design is missing, and where recovery or safeguards are weak.
From $300
Design of a persistence architecture: identity layers, memory tiers, bootstrap flow, recovery paths, and migration-aware continuity for a serious project.
From $450
Use the Identity Architecture Kit as a base, then adapt it into a working system with project-specific guidance, stronger infrastructure, and implementation direction.
From $200
We identify the real problem: context collapse, weak bootstrap, poor memory boundaries, migration risk, or failure patterns you are already seeing in practice.
I map the structure that fits: what belongs in core identity, what should stay dynamic, what needs searchable archive, and where recovery rules must exist.
The goal is not a pretty theory document. It is a continuity system that survives actual use, operational limits, and future migration pressure.
Projects that take persistent agents seriously and need architecture that holds under real constraints: continuity, memory, bootstrap, recovery, and migration.
Quick demo polish, superficial prompt hacks, or projects that want the appearance of continuity without doing the systems work underneath.
If you are working on a serious agent project and want review, architecture design, or implementation support, start the conversation here.