Skip to main content
Deep Brainstorm is currently in beta. Behavior and output format may evolve.

​
Overview

Deep Brainstorm extends the standard Brainstorm workflow with multi-step exploration. The agent doesn’t just list ideas — it researches context, analyzes trade-offs, explores second-order effects, and produces a detailed exploration document with reasoning behind each recommendation.

​
When to Use

  • Complex strategic decisions with multiple stakeholders
  • Problems with non-obvious trade-offs or dependencies
  • Planning that needs both creative thinking and analytical depth
  • Situations where you need to present options with supporting evidence

​
How It Works

1

Define the problem space

Describe the challenge, constraints, and what a good outcome looks like. The more context you provide, the deeper the agent explores.
2

Agent explores multiple angles

The agent breaks the problem into dimensions, researches each one, and identifies patterns, risks, and opportunities.
3

Structured analysis

Results are organized into sections: problem framing, options explored, trade-off analysis, and prioritized recommendations.
4

Iterate on findings

Drill into specific areas, ask for alternative framings, or request the agent to stress-test a particular option.

​
Examples

​
Output Structure

A typical Deep Brainstorm output includes:

​
Tips

Share company stage, team size, budget, timeline, and past decisions. The agent uses all of it to produce relevant analysis.
After the initial analysis, ask “what’s the strongest argument against your top recommendation?” to stress-test the thinking.

Brainstorm

Quick ideation for simpler problems

Research

Data-focused research and analysis