ParliAI

ParliAI is a Multi-Provider AI Council Decision Platform. It collects and presents information from multiple AI providers in one centralized location. It enables users to conduct multi-round debates until the most compelling proposal is found. The platform allows users to customize the council members from a range of AI providers such as Anthropic, OpenAI, Google, and xAI.

Key features of ParliAI include decision-making facilitation via AI aggregation, transparency in process and results, customization of the AI council, and diverse modes of operation. It accommodates one-on-one interactions, curator pick mode for swift responses, and consensus-building mode for comprehensive deliberation. Additionally, it offers proposal scoring, role assigning, system prompts, and a full reasoning trail for auditing purposes.

ParliAI works by gathering responses from diverse AI providers on a user-defined subject of deliberation. Post gathering the data, the AI council debates on the proposals, structured by the user's chosen mode of operation. Modes include one-on-one interaction, quick scoring in curator pick, or structured debate until consensus in consensus mode. The system also provides full reasoning trails, proposal differentials, and votes for transparent audit trails.

ParliAI's decision-making feature involves collecting feedback from multiple AI models, scoring proposals in a single round or running comprehensive multi-round debates. The AI council, comprising models from various AI providers, collaborates on the proposal until the most persuasive one is found. The mode of operation can be defined by the user as per the depth of deliberation required. Each mode allows the system to structure the decision-making process differently, giving the user a granular approach.

ParliAI's versatility comes from its ability to combine models from different AI providers into a customized council. This expands the perspectives that influence the decision-making process. Further, its adaptability to different depths of engagement based on user requirements contributes to its versatility. It offers different modes of operation, including one-on-one interaction, curator pick mode, and consensus mode.