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The Human BitAsk Bit

The Human Bit method

Test small before scaling

Create a bounded, reversible experiment that reveals real usefulness and failure before customers or critical work depend on it.

The first test should be small enough to stop, inspect and reverse without harming people or production work.

How it works

A demonstration proves that a capability can produce an impressive example. A useful experiment tests whether it improves your workflow with your inputs, standards and reviewers.

Define success, likely failures, a sample set, a human owner and a stopping rule. Keep the existing path available until evidence supports a wider change.

See the difference

Good boundary

A business tests draft enquiry classifications on fifty historical, de-identified messages and compares them with a staff member’s decisions before changing the live inbox.

What not to do

A new agent is connected to customer email, payments and internal files on its first day because the demo handled three sample requests.

Watch for this failure

A pilot that has no baseline, no failure log and no decision rule, so enthusiasm becomes the only evidence for scaling.

Questions to ask

  1. What is the smallest representative sample?
  2. What result would make us stop?
  3. Can every action be reviewed or reversed?
  4. What baseline will we compare against?
The Human Bit method →
Build the capabilityRead the related AI 101 lesson →