The proof, not the claim
Omentoo vs vanilla LLM, side by side.
Same model. Same input. Different contract with the model. The gap is the moat — and it's easier to show than to argue.
Showing the canonical example. Paste your own above to see the comparison on your input.
What this comparison is actually showing
- The model is identical. Both calls use
anthropic/claude-sonnet-4-6. If you swapped to GPT-5 or Gemini, the gap would still be there. - Omentoo's output is enforced by a zod schema — themes must have integer mention counts, quotes must be strings pulled from the input, recommendations must have a P1-P5 priority + effort + confidence. The model can't hedge with "several users mentioned…" because the schema requires a number.
- The vanilla side gets free prose. Useful for skimming. Useless for: deciding what to ship this week, tracking mention counts over time, pulling a quote into a roadmap doc, spotting weak signals you want to watch.
- This is what defends against the next AI tool. Switching models is one config change for Omentoo. Throwing away the schema and re-doing prompting is what a competitor has to do to catch up.