Deliberium is designed as horizontal infrastructure. These are target use cases that illustrate the architecture, not claims of existing customer deployments.
AI product council
Product leaders need multiple perspectives on customer value, feasibility, risk, and sequencing.
Roles: Founder · Customer · Engineer · Risk Analyst
Evidence: Customer research · product data · internal knowledge
Flow: Explore → challenge assumptions → compare strategy options
Output: Recommendation with trade-offs and open questions
Research + critique + evidence
Market narratives can become persuasive before their assumptions are tested.
Roles: Market Analyst · Researcher · Devil’s Advocate
Evidence: Web research · market data · company documents
Flow: Collect claims → critique → counter-evidence → revise
Output: Evidence-aware market view
Competing technical designs
Architecture decisions benefit from independent designs and adversarial review before implementation.
Roles: Engineer · Security Specialist · Operator
Evidence: GitHub · technical docs · APIs
Flow: Propose → stress test → compare → decide
Output: Decision with risk and migration conditions
Bull / bear / risk / evidence
Investment reasoning requires disagreement to remain visible rather than averaging into false certainty.
Roles: Bull · Bear · Risk Analyst · Fact Checker
Evidence: Filings · market data · research systems
Flow: Research → debate → assumption review → scenario compare
Output: Recommendation with minority report
Attack / defense / verification
Security reviews can separate attack paths, mitigations, and verification responsibilities.
Roles: Attacker · Defender · Verifier · Engineer
Evidence: Code · threat intel · internal systems
Flow: Model threats → challenge controls → verify evidence
Output: Prioritized risks and residual uncertainty
Competing hypotheses
Research programs need a clear record of why a hypothesis strengthened, weakened, or remains unresolved.
Roles: Researcher · Methodologist · Skeptic · Domain Expert
Evidence: Papers · datasets · APIs · internal knowledge
Flow: Frame → explore → test evidence → revise
Output: Hypothesis comparison with provenance