The biggest problems in using AI (shearer.org)

In an effort to address significant issues plaguing AI applications in 2026, the Perseverance Composition Engine (PCE) introduces a groundbreaking approach with its concept of Artificial Organisations. Unlike conventional large language models (LLMs), which often succumb to unpredictable behaviors, PCE helps detect and correct errors by employing specialized agents that work collaboratively, ensuring accountability and reducing the risks of hallucinatory outputs. Key roles within this framework include the Composer, who drafts text, and the Corroborator, responsible for verifying claims against source materials, effectively eliminating the potential for false assertions before they reach users. This architecture not only mitigates common AI failures like hallucination and context misinterpretation but also tackles the pervasive issues of memory and self-awareness in AI systems. By maintaining a persistent knowledge base akin to a library, PCE enables agents to build on prior work and decisions across sessions, creating a structured institutional memory. Such an organized methodology prevents the propagation of errors and biases common in traditional agentic AI, offering a promising direction toward more reliable and ethical AI systems. With this innovative approach, PCE aims to redefine trust in AI by shifting focus from the AI’s behavior to the structural integrity of its organization.