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To generate novel system designs without training-data recall, use a prompt-level creation harness that applies a three-phase FDH thinking loop. This process gathers external evidence, performs divergent planning, and executes adversarial verification to produce structured creation packets.

Adversarial verification for evidence-grounded creation packets is a validation mechanism applied during the HONE phase of the FDH thinking loop. It validates divergent plans against external evidence to ensure generated architectures, systems, or strategies are auditable and novel.

Structure divergent thinking outputs for governance by generating creation packets containing three distinct options with rationale, validation plans, and cost estimates. This format provides an explicit final recommendation and maintains a complete evidence ledger for auditing.

The FDH thinking loop integrates with governance protocols including KYB, ByteRover, and MUG Protocol. This integration ensures traceability and governance across the FOAI stack during the generation of novel, evidence-grounded solutions.

You can use divergent planning to design systems, products, architectures, or strategies that do not yet exist. The process leverages external evidence gathering during the FOSTER and DEVELOP phases to build novel, structured creation packets.

Limitations of prompt-level creation harnesses include dependency on external evidence gathering quality and the need for adversarial verification to prevent training-data recall. Outputs require manual review of the evidence ledger to ensure accurate auditing and governance compliance.