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Context Windows brings together case studies on what companies are doing with AI, from across the web. We compare their results so you can prioritise the use cases that are actually working.
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,800+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,800+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
Also available as API & MCP — accessible to your agents, workflows, and apps.|API reference →
Context Windows brings together case studies on what companies are doing with AI, from across the web. We compare their results so you can prioritise the use cases that are actually working.
Real-world implementations from
Ideas from your team, no outside signal → Best guess prioritization
Demos that impress, outcomes that don't
Ideas from your team, no outside signal
Best guess prioritization
Demos that impress, outcomes that don't
Your shortlisted ideas, validated against 2,800+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,800+ real implementations
Prioritise by what's already paying off
Measurable ROI and competitive edge
Use case intelligence lets you see the winners,
so you can be in the 5%
Also available as API & MCP — accessible to your agents, workflows, and apps.|API reference →
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Evidence from 200+ programs sat unanalyzed — teams had the expertise, not the capacity. Country teams now lead their own analysis.
Feedback in 30+ languages piled up, safeguarding reports sometimes misgraded. Claude translates and proposes grades; staff own the call.
Three lawyers, one deal pipeline: outside counsel built every document from scratch. Now they review an 80%-done draft.
Safety reads and high-volume writes fought for the same nodes. Milvus disaggregates them: 10B+ vectors, latency steady under load.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Seven brands, SQL Server 2002 to BigQuery—Monday's request landed Wednesday. Now a Slack question gets answered in seconds.
Evidence from 200+ programs sat unanalyzed — teams had the expertise, not the capacity. Country teams now lead their own analysis.
Feedback in 30+ languages piled up, safeguarding reports sometimes misgraded. Claude translates and proposes grades; staff own the call.
Three lawyers, one deal pipeline: outside counsel built every document from scratch. Now they review an 80%-done draft.