There's a dirty secret in "no-code AI" — most platforms still expect you to write prompts, configure pipelines, and debug edge cases. They're low-code at best. We took a different stance: we design the agent architecture, the prompt engineering, the error recovery, the self-correction loops. You just use it. Ask a question in plain language. Get a SQL query, a chart, a report. If the agent makes a mistake, it catches itself — retries up to three times with corrected logic before ever showing you a wrong answer. Behind the scenes, there's sophisticated orchestration: context building from your live schema, keyword safety filters, result validation, memory injection. But you never see any of it. The interface is a chat box. The output is an answer. Everything in between is our job, not yours.