Lessons From a High-Cost AI Workflow
curious_vii · x · 2026-07-11
The author summarizes a "high-output AI workflow": first, gather high-value context through meeting recordings, live recordings, and long dictations; next, ensure the working machine has sufficient MCPs and authorized CLIs; only then hand the task over to a "coin operated computer."
They also recommend setting up a pre-push hook to use a competitor's frontier model for an adversarial review. The trade-off is spending hundreds of dollars per prompt, but solving the right problem yields brilliant results and reduces screen time.
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