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 →
Three disconnected systems: one consultant could be recommended for four deals undetected. Now conflicts surface before deals close.
Comp data across five systems meant Taylor was a retrieval mechanism. One prompt built a live dashboard; four workflows run without her.
R&D fielded basic queries while AI features lagged. Snowflake freed engineers from ad-hoc requests and cut chatbot dev from months to weeks.
Sensor research ate a week per cycle for a lean IoT team juggling many roles. Embedding AI as a development partner cut that to 30 minutes.
Millions of AI assets monthly demanded enterprise moderation. Alibaba Cloud's stack delivered 99.5%+ accuracy, no custom model needed.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
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.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.
Three disconnected systems: one consultant could be recommended for four deals undetected. Now conflicts surface before deals close.
Comp data across five systems meant Taylor was a retrieval mechanism. One prompt built a live dashboard; four workflows run without her.
R&D fielded basic queries while AI features lagged. Snowflake freed engineers from ad-hoc requests and cut chatbot dev from months to weeks.
Sensor research ate a week per cycle for a lean IoT team juggling many roles. Embedding AI as a development partner cut that to 30 minutes.
Millions of AI assets monthly demanded enterprise moderation. Alibaba Cloud's stack delivered 99.5%+ accuracy, no custom model needed.
TAR scored chat too low—key evidence slipped through. AI screens first and surfaced all three docs opposing counsel used in deposition.
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.
AI-assisted creation of written, visual, and multimedia content across marketing, communications, and publishing workflows.
Real-time fraud and identity verification that combines scoring models with AI reasoning over transaction context, customer history, and unstructured signals.