Memory continues the conversation. Continuity is being built to return the record.
AI memory can preserve useful context. It can also summarize, omit, or rewrite it. Continuity is designed to return the reviewed record: what the model produced, what the reviewer changed, what the firm decided, and why.
The standard is not whether an assistant can retell an old conversation. It is whether the firm can reopen the same reviewed record, see who reviewed it, and see what changed before relying on it again.
Useful context, carried forward.
- Facts, snippets, transcripts, or generated summaries
- Optimized to continue the conversation
- May compress or reconstruct earlier context
- May not retain dissent and human disposition
Designed to return the reviewed record.
- Designed to return the Review record as reviewed, not regenerated
- Designed to keep timestamp and provenance with the decision
- Designed to keep dissent and human disposition visible
- Designed to require fresh human review before later use
Continuity is being built for a narrower job than asking a model to remember better: to return the reviewed record, show its provenance, and reopen it under human review. A remembered answer can sound consistent. The underlying record can be inspected.
Teranode does not by itself satisfy an adviser's recordkeeping or supervisory obligations.