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Simulated Brainstorms

Explore how Simulated Brainstorms use AI-driven personas to debate diverse viewpoints, weigh tradeoffs, and reach justified convergence

Simulated Brainstorms — AI-Driven Deliberation

OVERVIEW

Simulated Brainstorms are a guided learning and rapid-deliberation environment within WethosAI. They use AI-driven participants to simulate complex discussions, allowing teams to watch AI personas explore diverse viewpoints, weigh tradeoffs, and debate pros and cons before reaching a conclusion.

What sets Simulated Brainstorms apart from a simple AI prompt is their emphasis on constructive disagreement and justified convergence. Rather than producing a single "best answer," the simulation generates a multi-perspective debate where AI personas challenge each other, identify risks, and explore alternatives — ultimately arriving at decisions that reflect how the tradeoffs were considered and resolved. This makes them a powerful tool for strategic planning, scenario exploration, and learning.


HOW IT WORKS

The Simulation Flow

Simulated Brainstorms follow a three-phase flow:

1. Initiate with Context — You set up the Brainstorm with a clear goal, add team members, and inject foundational Artifacts (documents, meeting transcripts, data) so the AI has strict, real-world information to operate within.

2. Observe the Debate — The simulation runs. AI personas — informed by the Wethos Styles of the real team members you've added — engage in a transparent, back-and-forth discussion. They debate pros, cons, and risks rather than converging immediately. This highlights blind spots, alternative approaches, and tradeoffs that human teams might miss or skip over due to time pressure.

3. Transition to Human Work — Once the simulation concludes, it converts into a regular Brainstorm. Human team members can then jump in, review the logged Decisions, use XO to query the retained Artifacts, and take over the workflow from where the AI left off.


SETTING UP A SIMULATED BRAINSTORM

Step 1: Create the Brainstorm

Click "New Brainstorm" and fill in the name, description, and goals. The description and goals fields are especially important here — they provide the context that guides the AI personas' discussion. Be specific about what you want the simulation to explore or resolve.

Toggle on "Simulated Brainstorm" to enable the simulation mode.

Step 2: Add Members

Search for and add colleagues to the Brainstorm. The AI will create simulated personas based on the Wethos Styles of the members you add. This means the simulation reflects the actual behavioral diversity of your chosen team — a team heavy on Visionary thinkers will generate different discussions than one weighted toward Methodical executors.

Step 3: Assign an Admin

Select which Brainstorm members should have admin privileges. Admins can manage settings, add or remove members, and assign other admins. The Brainstorm creator is automatically designated as the Brainstorm Creator role.

Step 4: Add Artifacts

After the Brainstorm is created, you can add Artifacts for context. These can include documents, meeting transcripts, reports, data files, or any other materials relevant to the topic. The AI personas will reference these Artifacts during the simulation, grounding their discussion in real information rather than generic reasoning.


WHAT YOU'LL SEE DURING THE SIMULATION

Deliberation Thread

The core of the simulation is a transparent conversation thread where AI personas engage in back-and-forth discussion. Each message is clearly labeled with a "Simulated" tag so there is no confusion about whether a response came from a real person or the AI.

The AI personas don't simply agree with each other. They challenge assumptions, propose alternatives, weigh risks, and build on each other's ideas — mirroring the kind of rigorous debate that leads to stronger decisions. WethosXO participates in the deliberation as well, often synthesizing perspectives and guiding the discussion toward resolution.

Decisions (Justified Convergence)

As the simulation progresses, decisions are captured in two ways:

XO-Generated Decision Summaries — XO automatically analyzes the simulated deliberation and generates synthesized decision summaries. Each summary includes a title describing the decision, a note showing which discussions it was synthesized from, and four key metrics: the number of Key Decisions (actionable items), a Source Breakdown showing how many insights came from XO versus direct user or simulated participant quotes, the number of Brainstorms and Breakouts whose discussions were merged, and the Contributors who were key decision providers. Below the metrics, XO provides a detailed narrative explaining how the decision was reached, with numbered reference markers linking back to specific moments in the conversation. Summaries can be refreshed with the "Refresh Analysis" button and include an audio option. A "Was this summary helpful?" prompt lets you provide feedback.

Manual Decision Marking — Specific messages in the deliberation thread can also be manually marked as decisions. These appear with a green indicator and can be toggled with an "Unmark decision" button if they need to be revised.

What makes these decisions valuable is their transparency. Whether XO-generated or manually marked, each one reflects how the differing perspectives and tradeoffs were considered and resolved during the discussion. This is justified convergence — you can trace the reasoning path from disagreement to conclusion, which makes the outcomes more trustworthy and easier to evaluate.


TRANSITIONING TO HUMAN WORK

Once the Simulated Brainstorm concludes, it automatically converts into a regular Brainstorm workspace. At this point:

  • All simulated conversation history is preserved for reference.
  • All Decisions are logged in the Decisions Hub.
  • All Artifacts remain attached and queryable through XO.
  • Human team members can enter the workspace, review what the AI explored, and begin their own collaboration.

This transition model means the simulation doesn't replace human judgment — it accelerates it. The AI does the initial heavy lifting of exploring perspectives and mapping tradeoffs, and the human team picks up from an informed starting point rather than a blank page.


COMMON USE CASES

  • Exploring strategic options before a leadership decision by simulating how different stakeholders would evaluate the tradeoffs
  • Preparing for a high-stakes meeting by running a simulation first to anticipate objections and alternative viewpoints
  • Testing a proposed plan by seeing how AI personas with different behavioral styles would respond to it
  • Accelerating early-stage brainstorming by generating a rich starting discussion that the human team can refine
  • Training and learning — watching AI personas model constructive disagreement can help teams improve their own deliberation skills
  • Launching directly from a meeting agenda to pre-explore topics before the live session

TIPS

Invest time in the setup. The quality of a Simulated Brainstorm is directly tied to the quality of its inputs. Clear goals, specific descriptions, and relevant Artifacts produce richer, more useful simulations.

Choose members thoughtfully. Since the AI personas are based on the Wethos Styles of the members you add, the behavioral diversity of your selection directly shapes the range of perspectives the simulation will explore.

Don't skip the Decisions review. The justified convergence feature is one of the most valuable outputs. Before transitioning to human work, review each Decision to understand the reasoning behind it and identify where you agree, disagree, or want to explore further.

Use it as a preparation tool, not a replacement. Simulated Brainstorms are designed to accelerate and inform human decision-making, not to substitute for it. Treat the simulation's output as a well-researched starting point that your team can build on.