4 Levers to Take Control of Your AI Spend
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As AI vendors like GitHub Copilot and Anthropic shift to usage-based, per-token pricing, teams face unexpectedly high bills. Kilo, an AI coding platform, outlines four levers for controlling AI spend: choosing the right model for each task (with 500+ options and mid-session switching), using observability dashboards to track spend by model/project/user, governing team usage with pooled credits and model access controls, and optimizing developer time and token usage through parallel agents, codebase indexing, and orchestrative agent modes.
Table of contents
Lever 1: Model ChoiceLever 2: ObservabilityLever 3: Governing a TeamLever 4: Optimize Time & ContextBuilt for what comes nextShare this post