Problem: Co-modeler often suggests formulas that don't work - invalid syntax, or timeouts requiring manual copy/paste that still fails. This forces users to debug the suggestion and explain the model's structure back to the tool (often having to leverage another AI like Chat or
Claude) instead of just applying a working solution .
Ask: Make Co-modeler fully aware of the model it's operating in - its lists, modules, existing formulas, and dependencies - so it only proposes formulas verified to work in that context. If it lacks the confidence/context to guarantee a formula works, it should say so rather than
suggest one.
Why it matters: Less time spent debugging bad suggestions or explaining model structure back to the tool. More trust in acting on Co-modeler's output without double-checking it.
Principle: A recommendation tool should limit/avoid guessing - it should either know the answer or be upfront when it doesn't.