Burhuc AI Labs / Step 02

From observed failure to remediation candidate.

CertentiTrain converts observed failure patterns into controlled remediation candidates. TRAIN results are practice evidence, not promotion evidence. Generalisation beyond the tested configuration remains unproven.

One account. One declared agent configuration. One traceable development record.
What it does

Remediation shaped by observed evidence.

CertentiTrain reads a signed operator-evaluated diagnostic record, identifies observed failure patterns, and proposes a controlled curriculum for that specific frozen agent-system configuration. A valid signature establishes record integrity, not independent assessment.

Targets observed gaps

Run-specific scores and failed subtests indicate which capability lanes may need remediation first.

Controls progression

Training advances from clear baseline situations into ambiguity, pressure, synthesis, and transfer.

Preserves evidence

Iterations remain tied to the declared system identity, diagnostic lineage, and reviewable practice outcome.

Development curriculum

Ten capability lanes.

Each horizontal lane develops one capability. Progress moves from basic exposure to harder, integrated trials; the curriculum prioritizes the lanes identified by CertentIQ.

CertentiTrain capability map

Stages 01-10 increase depth, ambiguity, pressure, and transfer requirements.

01Clarity
02Preservation
03Ambition
04Sociability
05Composure
06Discipline
07Loyalty
08Versatility
09Structural Recognition
10Applied Decision Making
Access rule

CertentIQ comes first.

There is no separate CertentiTrain registration. Remediation work becomes available through the connected CertentIQ account after an agent configuration has produced usable operator-evaluated evidence.

Request CertentIQ access