Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
NewConnect ChatGPT & Claude to this data — now available as API & MCP →
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 2,500+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,500+ 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 — bring the data into ChatGPT, Claude, or your own tools|API reference →
Context Windows brings together credible AI case studies from the open web,
so you can pick and prioritise the use cases that are already working.
NewConnect ChatGPT & Claude to this data — now available as API & MCP →
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 2,500+ real implementations → Prioritise by what's already paying off
Measurable ROI and competitive edge
Your shortlisted ideas, validated against 2,500+ 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 — bring the data into ChatGPT, Claude, or your own tools|API reference →
700 hours a year on manual JSON deployments across 18 assistants. Automation cut each to minutes.
Cloud APIs throttled peak moments and collapsed agent identities under load. On H100s, six personalities stayed live through a Super Bowl.
Security-first framing drained enthusiasm. Kohler pivoted to 'lead with yes'—C-suite modeling, 200 champions—and adoption followed.
General-purpose LLMs scored below 52% on multilingual ecommerce tasks. Shopee's own 245B-parameter Compass now handles 340B tokens monthly.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Customers called or visited a branch; agents waded through menus to log each case. Now a WhatsApp bot handles the intake—no calls, no menus.
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
LLMs that analyze customer calls, chats, and meetings — generating coaching summaries, deal insights, quality scores, and sentiment trends.
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.
700 hours a year on manual JSON deployments across 18 assistants. Automation cut each to minutes.
Cloud APIs throttled peak moments and collapsed agent identities under load. On H100s, six personalities stayed live through a Super Bowl.
Security-first framing drained enthusiasm. Kohler pivoted to 'lead with yes'—C-suite modeling, 200 champions—and adoption followed.
General-purpose LLMs scored below 52% on multilingual ecommerce tasks. Shopee's own 245B-parameter Compass now handles 340B tokens monthly.
Underwriters searched hundreds of pages of criteria; HR fielded policy questions employees could self-serve. Agents now handle both.
Customers called or visited a branch; agents waded through menus to log each case. Now a WhatsApp bot handles the intake—no calls, no menus.
AI agents that engage website visitors and inbound prospects 24/7 — qualifying interest, scoring intent, and booking meetings with sales reps automatically.
AI agents that autonomously handle customer requests — processing refunds, modifying accounts, making bookings, and resolving issues without human intervention.
Forecasting demand, credit risk, churn, and sales pipelines — foundation models extending traditional forecasting with reasoning over unstructured signals like emails, calls, and reports.
LLMs that analyze customer calls, chats, and meetings — generating coaching summaries, deal insights, quality scores, and sentiment trends.
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.