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Quality Six Sigma

Factory Line · System

Quality Factory and Six Sigma KPIs

Quality becomes a named, repeatable workflow step instead of a vague opinion after the fact.

Why this matters

Many AI teams stop at “the model returned a file.” That is not the same as “the result is good enough to ship.” Quality Factory exists so the team can define what good looks like and score against it in a repeatable way.

That gives operators a clearer review step, gives managers a more honest read on readiness, and makes it easier to improve weak workflows over time.

Scorecards and readiness

Typical quality flow: probe the package for facts, score it against the rubric, and route failures clearly. The package passing quality is the real ship signal, not just a technically successful job run.

Readiness scoring in Builder looks at whether a workflow has enough real setup behind it to be treated seriously. Current founding cuts include:

RuleValueMeaning
leaf_gold_min800Performable leaf prompt_context characters
leaf_thin_max199Below this is thin — not Perfect Context
strategy_prompt_min400Strategy sandwich is not a slogan
ship_layer_min80Layer coverage before ship talk
ship_strategy_min80Strategy coverage
strategy_online_stages3A real rail, not one echo stage
ship_require_quality1Quality bind required to ship
ship_require_research1Research completeness required
ship_require_host1Host / surface bind required
green_audit_days30Audit window

Incidents and readiness findings are stored so the platform can learn from defects instead of repeating them as folklore.