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Signal Notes

Signal Notes

By: Nick Creighton
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Dispatches from a 13-site AI empire — what actually works in production, what fails, and what nobody tells you about building with AI.(c) 2026 Aevorn LLC
Episodes
  • Llm Evaluation Metrics Explained 2024
    Jun 8 2026
    Build Log, with Nick Creighton. This week, the models went quiet. The outputs, once reliable, turned bland and hollow. When your systems falter and hope is your only strategy, it’s time to move past the demo. Nick recounts the death of the "vibe check"—that quick, gut-feeling review that fails when you’re not looking. He spent the last three months building a real validation pipeline, shifting from fragile prompts to a system that actually earns its keep. This is about fighting the silent decay of AI performance, about replacing theory with a foundation that holds while you sleep. For more detail on the validation build, find the companion post [link]. Listen to the full episode.
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    9 mins
  • Openai Api Vs Local Llama 3 Cost 2024
    Jun 8 2026
    Signal Notes. March 25th, 2024. A cold number on the dashboard at dawn. The hum of a server, the quiet click of a key. The cost of intelligence is plummeting, a 92% freefall in 14 months. The gap between cloud and local inference has narrowed to a sliver, a decimal point on a billing report. The raw data from Nick’s production run: $347.22 for the API, $412.00 for the rented hardware, plus the hidden tax of maintenance scripts and library conflicts. It’s a story told in tokens and receipts, not theory. A vibe of pragmatic calculation. The quiet awe of a shifting landscape. Read the numbers: [companion blog post link] Listen to the math.
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    25 mins
  • Ai Agent Frameworks Vs Traditional Automation 2024
    Jun 5 2026
    The old map is obsolete. It's being replaced by a compass. Traditional automation is a brittle, minimum-wage workforce. AI agents are something else entirely—navigators that work off-road. Nick put both systems to the test over three months across thirteen sites. The results weren't close. It’s a fundamental architectural shift happening right now in production, moving from rigid step-by-step processes to adaptive, goal-oriented execution. This isn't a future prediction. It's a present-tense reality measured in hours saved and systems that don't break. Dive into the data and the details in our companion post. Grab your headphones. Let's build.
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    9 mins
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