SpotDev
AI workflows costed, owned and maintained after launch
The problem this solves
AI pilots that stall with no owner or cost control
SpotDev builds AI workflows that survive past the pilot: a model chosen per task rather than the largest one for everything, repeated context cached, bulk work routed to the cheaper batch path, and usage reported per workflow so a client can see what each one costs and returns. Tracking platform changes is SpotDev's job, not the client's.
Technique
Model chosen per task, not the largest one for everything
“Model chosen per task rather than the largest one for everything, repeated context cached, bulk work routed to the cheaper batch path”
— AI Implementation Services UK | AI Agent Development
AI cost managementAI operationsWorkflow automationModel selectionAI maintenance
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