FieldLog is a prototype research application developed by Expansion Lab to explore continuity in human–AI interaction under stateless conditions.
The system implements a modular interaction architecture that:
tracks interaction-level features across turns,
abstracts recurring patterns into structured continuity cues,
and reintroduces those cues in later sessions without relying on persistent user profiles.
Rather than storing or replaying prior conversations, FieldLog tests whether interaction structure and constraint design can produce stable longitudinal behavior in AI systems.
Interaction modes include:
free-form journaling
color- and context-based prompt inputs
environment-tagged interaction signals
These modes are used to examine how non-textual and abstract inputs affect continuity and drift over time.
Research goals:
to study continuity without conventional memory
to explore privacy-conscious interaction design
to better understand how structure influences longitudinal AI behavior
FieldLog is currently an early-stage prototype in active development and testing.
Opening early access to a small group of testers and collaborators.
▸ Dec 2025 update: A minimal reference-persistence demo artifact is publicly available.
Demo artifact: https://github.com/Kate-Bass/fieldlog-reference-persistence-demo
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