How to stress test any business decision with AI

Simulate a full board meeting with an AI CFO, CMO, and market analyst that debate your strategy, attack your blind spots, and surface risks you missed.

The average cost of a bad strategic decision for a startup is $50,000. The cost of simulating it first is $2.

You are about to change your pricing, pivot your positioning, or kill a feature. You have no CFO to model the financial impact, no CMO to stress-test the messaging, and no market analyst to check what competitors just did. You make the call alone, ship it, and find out if you were right three months later.

$40/mo

system cost

$13,000/mo

manual cost replaced

99.6%

cost reduction

The stack

This system creates four distinct AI personas with conflicting priorities and forces them to debate your proposal. The CFO attacks the margins. The CMO attacks the messaging. The analyst attacks the market timing. Ultron moderates and extracts a consensus report with specific action items.

Ultron
UltronThe chairman

Moderates the simulation, enforces time limits, and extracts actionable consensus from the debate.

ultron.sh/agents
Claude Opus
Claude OpusThe CFO persona

Runs the numbers. Analyzes margin impact, burn rate, and cash flow implications of your proposed strategy.

GPT 4
GPT 4The CMO persona

Attacks the go to market angle. Looks for messaging flaws, positioning weaknesses, and competitive threats.

Perplexity
PerplexityThe market analyst

Pulls real time competitor pricing, recent product launches, and industry sentiment to ground the debate in reality.

What it replaces

2 line items, starting with the executive coach, priced against the tools that now do the work. The last bar is the whole system at $40/mo.

$3,000/mo

Executive Coach, now Ultron Board Simulator

$10,000/mo

Strategy Consultant, now Multi Agent Debate

$40/mo

The whole system

Monthly cost of each role the system replaces, against the system itself.

Why it holds

Everyone can buy Claude Opus. What separates the setups that last from the ones that collapse is one idea.

AI defaults to agreement. If you ask Claude whether your idea is good, it will say yes. The key is multi-agent adversarial design. When you give four models conflicting success metrics and force them to debate, the friction produces insights no single prompt ever could.

What is inside

This is not theory. 3 pieces, ready to run.

In this playbook

2 of 3
Executive persona prompts
Debate orchestration script
Run your first board meeting
Unlock

How it's built

The file tree, so you know exactly what you would be standing up.

System files
personas/
cfo_system_prompt.mdcmo_system_prompt.mdcto_system_prompt.md
simulations/
debate_orchestrator.jsconsensus_extractor.ts

One rule to leave with, the one that stops the executive coach from creeping back into the budget.

The worst time to discover a flaw in your strategy is after you have spent $50,000 executing it.

The numbers above trace back to the Decision Quality Metrics 2026, not projections.

Decision Quality Metrics 2026

You can wire Claude Opus and the rest of this stack by hand from the playbook above. Or you skip the assembly, because standing up systems like this is exactly what Ultron does.

$13,000

is what this system replaces every month. Ultron runs it for $40/mo.

No card required. Set it up in about ten minutes.

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