---
id: "concept-query-time-synthesis"
type: "concept"
source_timestamps: ["00:09:20", "00:16:32"]
tags: ["data-processing", "information-retrieval"]
related: ["concept-openbrain-architecture", "concept-write-time-synthesis"]
definition: "The process of storing raw data and only using an AI to analyze and summarize that data at the exact moment a user submits a prompt or question."
sources: ["s11-wiki-vs-open-brain"]
sourceVaultSlug: "s11-wiki-vs-open-brain"
originDay: 11
---
# Query-Time Synthesis

# Query-Time Synthesis

> The process of storing raw data and only using an AI to analyze and summarize that data at the exact moment a user submits a prompt or question.

## Definition

**Query-Time Synthesis** is the architectural decision to store information in its raw, structured form and only invoke AI reasoning when a specific question is asked. The system functions as a perfectly organized filing cabinet (see [[concept-librarian-metaphor]]). When a prompt is submitted, the AI retrieves the relevant raw documents and synthesizes an answer on the fly.

This is the foundational mechanic of [[concept-openbrain-architecture]].

## Advantages

- Guarantees the AI always has access to the unedited, original context.
- Prevents the loss of nuance that occurs when data is pre-summarized.
- Enables complex metadata filtering (e.g., *show me all notes from Q1 regarding pricing*).
- Completely avoids the risk of locking permanent errors into the knowledge base — sidesteps [[concept-error-baking]] entirely.

## Trade-off

Requires more compute and latency at query time. Compare with [[concept-write-time-synthesis]].


## Related across days
- [[concept-openbrain-architecture]]
- [[concept-write-time-synthesis]]
- [[arc-context-architecture-evolution]]