NormCode Canvas: Making LLM Agentic Workflows Development Sustainable via Case-Based Reasoning

NormCode Canvas v1.1.3 introduces a case-based reasoning system for LLM agentic workflows using a semi-formal planning language called NormCode. The deployed system demonstrates multi-step AI task automation across presentation generation, code assistance, and plan compilation with self-sustaining capabilities.

• →NormCode Canvas implements two-level case-based reasoning for reliable LLM workflow execution with compiler-verified scope rules.
• →The system eliminates implicit shared state issues that make retrieval unreliable in standard orchestration frameworks.
• →Four deployed applications demonstrate practical capabilities including PPT generation at 40 seconds per slide and multi-step software engineering tasks.
• →The platform enables recursive case learning where plans can produce, debug, and refine one another autonomously.
• →Structural properties include direct checkpoint inspection, pre-execution review, and scope-bounded selective re-execution.