Jakub Cerny
Support Specialist · Customer Support
JC
ROI score
57Watch
Cost per accepted unit is above the team median.
Recommendation
Compare this person's model mix to top performers on the team.
AI spend
€366
11% vs prior period
Yield rate
60%
Team average 61%
Cost per accepted unit
€4.93
Team average €3.44
Leverage vs last month
1.08
124 runs · 74 accepted · 6M tokens
Weekly AI spend
Human loops
Accepted65%
Rejected 35% · team 73% accepted
Guidance levelMedium
Runs without result8%
Waste€207
ROI score breakdown
Yield 30%
60
Cost efficiency 25%
39
Trend 20%
55
Model fit 10%
73
Capability use 15%
69
Each component is scored 0–100; 50 means on par with the team median or flat vs last month. Good ≥ 70, Watch 40–69, Bad < 40.
Model mix: spend share vs token share
Premium reasoning model48% spend · 17% tokens
Standard model39% spend · 31% tokens
Fast small model13% spend · 52% tokens
Top skills used
- Image generation
- Summarisation
- Prompt templates
Agents and MCP usage
- Knowledge base MCP129 runs
- Ticket triage agent106 runs