Alexander Brandt

Alexander Brandt is an independent developer whose open-source work is concentrated on practical utilities that help technical users monitor and control the hidden costs of modern cloud services. Under the GitHub identity “rygel,” the publisher’s catalog is presently anchored by AI Consumption Tracker, a lightweight Windows tool that silently intercepts API calls made to major generative-AI endpoints (OpenAI, Anthropic, Azure, local proxies) and records every token consumed, model invoked, and cent spent. The program presents live dashboards, daily/weekly burn-rate graphs, and color-coded alerts when user-defined quotas approach, making it equally useful for freelancers tracking client projects, startups policing shared API keys, and enterprise departments that need to attribute AI spending to cost centers. Because it operates as a local proxy rather than a cloud add-on, no prompt data ever leaves the machine, addressing compliance teams concerned with data residency. The codebase is published under the MIT licence, so integrators can embed the metering engine into their own automation scripts or RMM suites. Although the portfolio is still narrow, the publisher’s issue tracker shows active community requests for companion utilities that would extend the same transparency to cloud compute and object-storage meters, suggesting a roadmap toward a broader cost-governance toolkit. Alexander Brandt’s software is available for free on get.nero.com, where downloads are delivered through trusted Windows package sources such as winget, always install the latest upstream release, and can be queued for batch installation alongside other applications.