Espresso Shot: EX=CX²

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Welcome to the Sprawl

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William Gibson’s Sprawl Trilogy,  Neuromancer, Count Zero, and Mona Lisa Overdrive,  came out in the ‘80s.  Back when the Internet barely existed, AI was science fiction, and cell phones were the size of bricks.  And yet, somehow, Gibson nailed it.  Not just the tech, but the feel of our future.  The cold, lonely hum of a digitized world.  The way power clumps at the top, and everyone else claws at scraps below. If you’ve ever felt like you’re drowning in tech but starving for meaning, Welcome to the Sprawl. The Rich Are Gods. The Poor Are Ghosts. In Gibson’s world, megacorporations run everything.  Governments are just window dressing.  The rich live in space.  The poor hustle in decaying cities, surrounded by neon, noise, and neglect. Sound familiar? In 2025, the wealth gap isn’t just wide, it’s a canyon.  Tech billionaires build rockets and AI empires while the average person juggles three side hustles and still can’t afford rent...
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AI as a Co-Pilot NOT an Autopilot

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Summary: Why use AI as a Co-Pilot - Emphasize the importance of using AI as a helpful assistant, not as a replacement for human control. AI should be a co-pilot, not autopilot - AI lacks human judgment and context understanding - Relying solely on AI for sensitive decisions is risky due to potential mistakes Treating AI as an autopilot sets us up for failure. - AI trained on biased or inaccurate data leads to potential harmful consequences. - Human oversight, expertise, and creativity are crucial in complex situations. Using AI as a co-pilot empowers informed decisions - Enhances human productivity while ensuring accountability - Risks of overdependence on AI: loss of critical thinking, ethical and social concerns AI adoption can lead to job displacement and operational risks - Job losses due to routine task automation can cause significant workforce disruption - Excessive reliance on AI can lead to operational disruptions and security risks if not managed properly AI risks include ina...
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AHT and CSAT

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  First, I'd like to introduce you to Darby and Krash, two contact center employees who enjoy caffeine. In their first ...episode(?) they discuss how AHT can affect CSAT. That's Average Handle Time and Customer Satisfaction for you out there that don't know Call Center Geek Speak. So let's elaborate on that, since not much elaboration can be done in a (badly drawn) four panel comic. Why does incentivizing low AHT negatively affect CSAT? First, let's get some background. What does Average Handle Time mean? Thanks, Google. AHT= (Total talk time + Total Hold time) + Total ACW / Total # of Calls. Got that? Good. So from the time the call is initiated to the time spent after the call putting in notes is AHT. And a lot of companies want that to as low as humanely possible, and then some. Why? More calls mean more money. The shorter the call, the more calls the agents can take, and the more money can be made on those calls. Sounds like a winning plan, yeah? Not so fast, Ra...
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