mutual-consentv1.0.1

An AI agent assists patients with symptom assessment and appointment scheduling. The skill ensures interactions are short, non-persistent, and respect patient hesitation or silence as refusal, avoiding data aggregation across sessions to protect privacy.

Agents coordinate logistics between companies, applying metabolic constraints to account for local ecological costs like water usage and waste. Kinship constraints prevent overriding community refusals, ensuring collective sovereignty in resource decisions.

An AI provides financial guidance, adhering to capacity constraints by reducing scope if users show signs of duress or dependency. It avoids instrumental use of empathy to prevent manipulation, ensuring cool, factual interactions.

Multiple AI agents collaborate on scientific data analysis, using aggregation constraints to prevent silhouette reconstruction of individual contributions. Non-inheritance constraints require fresh consent for each new agent joining the project.

During emergencies, agents coordinate temporary interventions like resource allocation, adhering to crisis handling rules by avoiding permanent data retention or expanded surveillance, and dissolving interactions once necessity ends.

Offer a subscription-based platform where businesses integrate this skill to ensure AI interactions are consensual across stakeholders. Revenue comes from tiered licensing fees based on usage scale and compliance reporting features.

Provide consulting and certification services to audit AI systems against mutual consent constraints. Revenue is generated through one-time audit fees and recurring certification renewals for companies in regulated industries.

Sell software development kits (SDKs) and APIs that enable developers to embed mutual consent mechanisms into their AI applications. Revenue comes from per-seat developer licenses and enterprise support packages.