Tutorial
Build a consensus draft that merges multiple models
Instead of picking one model’s answer, merge several into a single stronger draft. This is the pattern most people want when they say "use multiple models".
Before you start
- An LLMWeave account
- Comfort starting a weave from a template
Choose the consensus template
Start a New Weave and pick the consensus draft template. It's preconfigured to send your prompt to several models and then synthesize their outputs.
Set your prompt and models
Write the task and confirm the model set. More diverse models tend to produce a richer synthesis, since they bring different strengths.
Run and review the merged answer
The weave produces one synthesized draft that leads with the answer and folds in the strongest points from each model, without source-by-source attribution or repeated points.
Refine by chaining
Not quite right? Continue the conversation to push the draft further. The synthesis carries forward as the new starting point.
Keep going
Compare Claude, GPT, and Gemini in one run
Send a single prompt to several frontier models at once and see their answers together, so you can judge accuracy, tone, and cost in one place.
Intermediate · 5 minRank and fuse multiple model outputs
Generate several candidate answers, rank them, and fuse the best parts into one result. Useful when quality matters more than speed.