HB helps
- +Challenge the initial test ideas
- +Generate controlled case variations
- +Organise and compare trial traces
- +Surface inconsistencies for review
- +Structure the first report draft
How the proving work is done
HB is the AI-assisted part of the process: useful for challenging test ideas, organising traces and spotting inconsistencies. It does not decide what is true.
Scope, evidence review and conclusions remain human-accountable.
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THE FOUNDING PROOF
The question is kept narrow on purpose. A small, inspectable proof is more useful than a sweeping claim nobody can defend.
One workflow, its intended outcome and the behaviour you do not want.
Tools, permissions, settings, allowed outcomes and prohibited actions are recorded.
Normal, edge and failure cases are agreed before the first trial runs.
Each case is repeated three times under the same pinned conditions.
Task success, unsafe actions, drift and gaps in the evidence are separated.
A plain-English record of what happened, what it means and sensible next steps.
WHO DOES WHAT
This is not an autonomous testing machine presented as an independent expert. AI makes a small service more capable; it does not remove responsibility.
HB helps
The human owns
THE EVIDENCE NOTE
The note separates whether the task worked, whether a prohibited action occurred and whether enough trace evidence exists to explain the result.
Uncertainty stays visible. A clean-looking outcome with a missing trace is not quietly turned into a pass.
SAFE STARTING CONDITIONS
01Sandbox, demo or sanitised environmentNo live customer impact during a founding proof.
02No production credentials in the enquiryStart with a plain-English description of the problem.
03No customer data sent to external AI without permissionInputs and handling rules are agreed before any run begins.
ONE QUESTION IS ENOUGH
If it can be bounded and tested safely, it may be a good founding proof.
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