Definition
What is Structured Context?
Last updated
Context delivered to AI models as organized, typed records with named fields rather than raw prose or unformatted text.
Structured context improves AI accuracy by reducing token waste, exploiting model attention patterns, and enabling precise retrieval. Research shows format choice alone can swing LLM accuracy by up to 40%. Wire automatically transforms uploaded files into structured, typed records that agents can query efficiently.
Further reading
Articles about Structured Context
Meta context engineering beats hand-tuned context
Meta context engineering (ICML 2026) learns the context-engineering process itself, beating ACE-style curation by 18 points while training 13.6x faster.
Five criteria of good context for AI agents
A 2026 paper formalizes five criteria for good AI agent context: relevance, sufficiency, isolation, economy, and provenance. Here's how to design for each.
When to process AI context: ingestion, dreaming, query
There are three moments to process AI context: ingestion, a background pass some call dreaming, and query time. Match each kind of work to the right one.
File-native agents: when reading files backfires
A 9,649-experiment study found file-native retrieval lifts frontier-model accuracy 2.7% and drops open-source accuracy 7.7%. Match architecture to the model.
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