AI Models

Compare AI outputs from the same context

Run different models from the same inputs, compare their responses, and decide which direction is worth building on without copying prompts across tools.

The old way

Comparing AI models should not mean rebuilding the same prompt.

Different AI models can surface different angles. But comparing them manually creates another layer of work.

01
You copy the same prompt into different tools

You paste the same context into ChatGPT, Claude, Gemini, or other models just to see how each one responds.

02
The answers are hard to compare

Each output lives in a different chat, so you end up copying everything into a doc before you can judge what is useful.

03
The reasoning gets lost

Once you choose a direction, it is hard to keep track of which model said what, what was challenged, and why one answer was better.

The illumi way

Use multiple models from one shared context.

illumi lets you run different AI models from the same inputs, compare the outputs side by side, and keep the useful reasoning connected to the work.

Workflow proof · 01

Start with one context

Instead of copying the same background into several tools, organise the relevant inputs once and let different models work from the same context.

Add notes, examples, and constraints
Select the context for the prompt
Choose the models to run
Generate outputs from the same input
Workflow proof · 02

Compare what each model gets right

One model may be clearer. Another may surface a stronger angle. Another may expose a weak assumption. Compare responses side by side so you can decide what is worth keeping.

Review the outputs side by side
Highlight useful sections
Mark weak or irrelevant parts
Decide what to build on
Workflow proof · 03

Challenge the strongest direction

The best answer is often not the first answer. Use another model or follow-up prompt to challenge the strongest direction before turning it into final work.

Select the strongest output
Ask another model to challenge it
Review assumptions and gaps
Refine the final direction
Feature details

What you can do with AI Models

Run multiple AI models from the same context
Compare responses side by side
Avoid copying prompts across tools
Challenge outputs with another model
Refine the strongest answer
Keep model reasoning connected to the board
Decide what to carry into the final output

Stop comparing AI outputs by copy-paste.

Use illumi to run models from the same context and keep the best reasoning connected to your work.

Where multi-model comparison helps

Use this when different AI responses can help you see better directions.

Use Case
Strategy work

Compare strategic options from different models before choosing a recommendation.

Use Case
Research synthesis

Test different interpretations of the same evidence.

Use Case
GTM planning

Compare positioning angles, messaging options, and launch directions.

Use Case
Client proposals

Generate and compare different proposal structures from the same brief.

Use Case
Content planning

Compare narrative angles before turning ideas into publish-ready content.

Use Case
Reusable workflows

Save comparison workflows for repeated tasks.

Compare directions from the same context.

Use illumi to run different AI models, compare outputs, and keep the reasoning connected while the work develops.