Navigating the environmental challenges of AI
Inventory calls, generations, storage and repeated work and reduce unnecessary retries. State measurement methods instead of substituting efficiency claims for data.
Putting ai workflows into practice
Generated output may omit information or introduce unsupported statements. Separate model output, human approval and execution; a recommendation does not grant release authority.
Checking the result
Test both sufficient and incomplete inputs and compare accuracy, omissions, rework and stopping behaviour. Verify sources and commitments before public release.
