context construction

Assess

Techniques

Building the input context and memory an AI system uses to make decisions.

Why it's here

Placed in Assess: 1 article(s) of evidence from 1 source(s), led by research-stage coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.

Evidence (1)

6InfoQ·10/15/2026research
What 25 Trillion Tokens Reveal About AI Agent Adoption
Brendan O’Leary argues that real-world AI adoption depends more on trust and reliability than on model benchmark performance. Using large-scale usage data, he outlines an adoption ladder and highlights common failure points in context construction, multi-model routing, and feedback loops for scaling agentic workflows.