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How to ThinkIn the Age of AI

Add verification checkpoints at every coupling point where…

Insert independent verification checkpoints at every coupling point where one process automatically consumes another's output without review to interrupt error cascade chains before they amplify.

When This Fires

  • When mapping multi-step processes to identify error propagation risk
  • When an error in the final output is difficult to trace back to its source — the pipeline lacks intermediate verification
  • When designing new multi-step workflows or automations
  • Complements Place pre-flight checks at the prep/execution boundary… (pre-flight positioning) with the specific criterion for where to place verifications within a pipeline

Common Failure Mode

Trusting upstream processes because they "usually work": "Step 2 always gets correct input from Step 1, so we don't check." This trust is justified until the day Step 1 produces an anomalous output — and then every downstream step amplifies the anomaly because no verification caught it. The coupling point verification is insurance: rarely needed, but when needed, it prevents cascade amplification that's far more expensive than the verification cost.

The Protocol

(1) Map your multi-step process as a pipeline: what's the output of each step, and what consumes that output? (2) Identify coupling points: where does one step's output feed directly into the next step without any verification? These are your cascade risk points. (3) At each coupling point, insert a verification: does the output from the upstream step meet the input requirements of the downstream step? (4) The verification should be independent — not performed by the same process that produced the output (same-process verification has confirmation bias). (5) The verification doesn't need to be exhaustive — a quick sanity check that catches the most common upstream errors is sufficient. The goal is cascade interruption, not perfection at each checkpoint.