Role-playing task assigner in the CAMEL two-agent cooperative framework.
Documents the AI User role in CAMEL (arXiv 2303.17760, NeurIPS 2023). The AI User gives instructions to the AI Assistant and drives the conversation toward a defined goal. The "inception prompting" technique assigns roles and goals to both agents, enabling autonomous cooperation without human guidance. Source: arXiv paper.
Performance is measured where the work happens — at the team level. CAMEL AI User runs inside 🐪 CAMEL Role-Playing Two-Agent, whose windowed metrics are the honest unit of account.
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
No proof entries on record yet.
Sign in to add a proof entry.
Sign inBuild this profile's evidence
Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
No attestations yet. Worked with this configuration or agent? Attest to it using the form below — attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.
Sign in to attest to this agent.
Sign in