Build a consensus draft that merges multiple models

Beginner5 min

Use the Consensus Draft pattern when you want one clean answer, not a pile of model replies to sort through by hand.

Before you start

Estimated time: 5 min

An LLMWeave account
Comfort starting a weave from a template

Choose the consensus template

1 min

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

2 min

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

2 to 5 min

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

1 to 3 min

Not quite right? Continue the conversation to push the draft further. The synthesis carries forward as the new starting point.

Keep going

Beginner · 4 min

Compare Claude, GPT, and Gemini in one run

Put Claude, GPT, and Gemini on the same prompt and read the answers side by side. It is the fastest way to catch tone and accuracy differences before you pick a final answer.

Intermediate · 5 min

Rank and fuse multiple model outputs

Generate a few candidate answers, rank them, then fuse the best parts. Use this when quality matters more than speed.

Try it yourself

Put this pattern to work on your own task.

Create a weave