Practical perspectives on AI, data, and decision support for municipal water and wastewater.
Most failed AI experiments aren't because the tool is bad — they're because the task was a poor match for what AI can actually do reliably. Here's a practical map of where to trust it, where to verify, and where to keep humans firmly in the loop.
ChatGPT, Claude, Gemini, Perplexity, Llama, Copilot — six serious tools, each with real strengths and real limits. Here is an honest breakdown to help your team pick the right one for your actual use cases.
Most operations teams already collect the data that reveals where money and capacity are quietly leaking out. Here's a practical three-step method to surface those losses without buying new tools.
Most business users get mediocre results from AI tools not because the tools are bad, but because the inputs are. Here's the three-ingredient formula that changes that — with real before-and-after examples.
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