<p>This workflow demonstrates how to reliably generate <strong>structured JSON output</strong> from a large language model (LLM) and transform it into usable, structured data in KNIME.</p><p>The workflow uses a small set of customer feedback examples and shows how to:</p><ul><li><p>instruct an LLM to return <strong>valid JSON</strong> using an explicit prompt schema</p></li><li><p>understand that LLM JSON output is <strong>text</strong>, not a native JSON type</p></li><li><p>convert JSON-formatted text into a <strong>KNIME JSON column</strong></p></li><li><p>extract fields from JSON into regular table columns</p></li></ul><p>This pattern is useful whenever LLM output needs to be parsed, validated, or integrated into automated workflows such as dashboards, data pipelines, or agent tools.</p>