Use case type
This category includes methods and tools for improving the wording, structure, and performance of prompts used with AI systems. It addresses inconsistent model outputs and helps produce more accurate, relevant, and efficient responses.
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Adoption over time
By case publish month · completed months only
1 case documented across 7 months (Jan 26 – Jul 26), peaking at 1 in January 2026.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
1 shown from 1 use cases
Pushpay built an agentic AI search feature for church and ministry staff to ask natural-language questions over community data and to get actionable insights in real time.The solution was built on Amazon Bedrock and paired with a custom generative AI evaluation framework, including semantic selection of filters, a golden dataset, LLM-as-a-judge evaluation, and domain-level dashboards for continuous improvement.
OtherCommon questions
