kamikaze

Multi-AI strategic deliberation coordinates recursive rounds across 2-6 iterations using a thermodynamic CAS backbone to surface robust decisions. You run it with a strategic question to generate a complete decision snapshot.

An adversary engine stress-tests consensus by applying diverse personas to challenge strategic deliberation outcomes. It surfaces minority opinions and trade-offs to ensure decisions are thoroughly evaluated before execution.

To generate a decision snapshot for go/no-go analysis, run recursive multi-AI deliberation across 2-6 rounds. The output includes minority panels, conditional actions, and risk signals with auto-template guidance.

Yes, recursive deliberation supports roadmap planning, architecture direction, and go/no-go decision framing. It uses structured Crux Ledger handoffs for traceability and cross-round continuity across 2-6 adaptive rounds.

The best way to maintain traceability across AI deliberation rounds is using structured handoffs via a Crux Ledger. This ensures cross-round continuity and preserves minority opinions throughout the recursive process.

Multi-AI decision analysis requires no external dependencies or components. It operates independently using its internal thermodynamic CAS backbone, Crux Ledger handoffs, and unified adversary engine to produce decision snapshots.