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.
Get a free personalized overview of what's working with AI in your industry and your role.
Real-world implementations from
Each new agent took 8 weeks to ship reliably. A factory framework cut that to days, freeing people for the relationship work AI can't do.
Lost parts sales sent teams manually piecing together the root cause from scattered data. Five subagents now surface the full picture.
The AI bill arrived as one number — nowhere to cut. Broken into six terms and stripped of 70K idle tokens, it became six independent levers.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Reconstruction cost capped how much fleet data Li Auto could simulate. A unified camera-LiDAR model halved cost and doubled scene coverage.
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.
Get a free personalized overview of what's working with AI in your industry and your role.
Real-world implementations from
Each new agent took 8 weeks to ship reliably. A factory framework cut that to days, freeing people for the relationship work AI can't do.
Lost parts sales sent teams manually piecing together the root cause from scattered data. Five subagents now surface the full picture.
The AI bill arrived as one number — nowhere to cut. Broken into six terms and stripped of 70K idle tokens, it became six independent levers.
A small data team fielded every ad hoc query—sometimes hours, sometimes days. Colleagues now ask in plain English via Teams, in seconds.
Cross-functional teams queued every data question—even simple ones—through a 3-day ticket backlog. Natural language queries made them self-sufficient.
Reconstruction cost capped how much fleet data Li Auto could simulate. A unified camera-LiDAR model halved cost and doubled scene coverage.