Articoli

Human-AI Collaboration combines human lateral thinking, AI-driven development and human verification to guide complex problem-solving more consciously.

Tool Context connects language models to external capabilities and defines how tools, permissions, orchestration and agentic workflows are managed.

Documentary Context grounds AI responses in external materials by managing source selection, retrieval, provenance and auditability.

Normative Context governs AI behavior through safety rules, permissions, authorizations and guardrails that constrain both responses and actions.

Personal Context uses preferences, profile information and memory to personalize AI responses across conversations while remaining adaptable to the current task.

Conversational Context manages how previous turns influence AI responses and how long chats can be cleaned, compacted and migrated without losing essential information.

AI Context is the information environment that shapes how a generative system interprets tasks, uses resources and produces relevant responses.

Dialogue Management uses structured interaction to clarify, challenge and progressively verify AI-generated responses while reducing uncertainty.

AI Response Analysis combines multiple verification techniques to turn a plausible AI claim into a more precise, evidence-based and appropriately qualified conclusion.

Cross-Checking AI verifies generated claims through independent evidence, source analysis and triangulation, then adjusts conclusions to match the strength of the evidence.