Change thinking processes between analytical, intuitive, creative, critical, or meta-cognitive modes to adapt reasoning approaches for different tasks.
Generate concise summaries from text or files using ACE cognitive methodology. Specify constraints like time, characters, or words for tailored output. Ideal for efficient transcript and content processing.
Updates and monitors cognitive traces for AI agents by tracking actions, goals, and context, enabling metacognitive analysis with MCP Dual-Cycle Reasoner to detect reasoning loops and optimize decision-making.
Validate cognitive constraint compliance by detecting unauthorized operations like synthesis or inference, ensuring safe fallback responses when needed.
Identify cognitive biases in reasoning or decisions using Kahneman's System 1/2 framework to improve decision quality before finalizing important choices.
Enables dynamic creation and orchestration of hierarchical AI agent teams with role-based personas and domain knowledge injection. Supports multi-agent collaboration, session management, and complex task execution through structured team workflows.
Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.