Founder
War Room: 4 Agents Brainstorm the Next Product β Top 3 Ideas in 45 Minutes
Key Takeaway
Four AI agents β ideation, research, coordination, and analysis β ran a structured brainstorm session that generated 10 ideas, filtered to 5, debated trade-offs, and ranked the top 3 with go/no-go verdicts. All in 45 minutes.
The Problem
Founding team brainstorms are expensive. Not because the ideas are bad β because the process is inefficient.
Four people in a room for half a day. Someone dominates. Someone stays quiet. The loudest idea wins, not the best one. Nobody does real-time research. "I think the market is big" isn't market sizing β it's hope.
And the output? A whiteboard photo that nobody transcribes, a vague consensus, and "let's think about it more."
At Artificial-Lab, we needed to decide what to build next. Our agent studio had seven AI agents handling product development β but what should the next product be? I didn't want another four-hour brainstorm that ended with "we'll circle back."
I wanted structured output. Researched ideas. Ranked decisions. In under an hour.
The Solution
Mr.Chief's War Room skill: a multi-agent deliberation framework where specialized agents take on defined roles, debate a question from different angles, and produce a structured output document.
Four agents. One question. Forty-five minutes.
The Process
Triggering a war room is one command:
bashShow code
mrchief war-room start \
--question "What should Artificial-Lab build next?" \
--agents bill,pauly,vivi,warren \
--format product-ideation \
--time-limit 45m
The agent roles:
yamlShow code
# war-room config
agents:
bill:
role: "Ideation Lead"
mandate: "Generate 10 raw product ideas with rough market sizing.
Prioritize novelty and market timing. Be bold."
pauly:
role: "Research Analyst"
mandate: "For each idea, assess: market size, existing competition,
technical feasibility, time to MVP. Kill ideas that fail
basic feasibility checks."
warren:
role: "Financial Analyst"
mandate: "For surviving ideas, estimate: development cost, revenue
model viability, path to $1M ARR, capital requirements."
vivi:
role: "Coordinator & Synthesizer"
mandate: "Structure the debate. Force trade-off discussions. Prevent
groupthink. Synthesize final ranking with reasoning."
phases:
1_generate:
lead: bill
duration: 10m
output: "10 ideas with one-paragraph pitch + rough TAM"
2_filter:
lead: pauly
duration: 12m
output: "5 surviving ideas with research backing"
3_model:
lead: warren
duration: 10m
output: "Financial viability assessment per idea"
4_debate:
lead: vivi
duration: 8m
output: "Trade-off matrix, dissenting views captured"
5_rank:
lead: vivi
duration: 5m
output: "Top 3 ranked by opportunity score, go/no-go per idea"
Phase 1 β Bill generated 10 ideas, ranging from "AI-powered compliance checker for crypto projects" to "Agent-as-a-Service marketplace." Each had a one-paragraph pitch and rough TAM.
Phase 2 β Pauly killed five. "Agent marketplace: 4 competitors already funded, $200M+ raised collectively. We'd be entering a red ocean." Gone. "Compliance checker: regulatory landscape too fragmented, different rules per jurisdiction." Gone. Five survived.
Phase 3 β Warren modeled the five survivors. Revenue model, estimated dev cost, path to $1M ARR.
Phase 4 β Vivi forced the hard questions. "Bill, you're advocating for the marketplace even after Pauly killed it. Defend or concede." "Warren, your revenue model for idea #3 assumes 40% conversion. Justify that."
Phase 5 β Final ranking.
The Results
| Metric | Founder Brainstorm | War Room |
|---|---|---|
| Duration | 4 hours (half day) | 45 minutes |
| People required | 4 founders | 0 humans (4 agents) |
| Ideas generated | 5-8 (unresearched) | 10 (each with market context) |
| Ideas filtered with data | 0 (opinions only) | 5 killed with research backing |
| Financial modeling | "We think it could be big" | Revenue model per surviving idea |
| Output quality | Whiteboard photo | Structured decision memo, 12 pages |
| Dissenting views captured | Rarely | Always (Vivi enforces it) |
| Cost | 4 people x 4 hours = 16 person-hours | ~$3.20 in API calls |
The top 3 ideas, ranked by composite opportunity score:
markdownShow code
### Final Ranking
1. **AI Agent Monitoring & Observability Platform** (Score: 87/100)
- TAM: $2.4B (subset of APM market)
- Competition: Low (no agent-specific tooling exists)
- Time to MVP: 6 weeks
- Path to $1M ARR: 18 months
- Verdict: β
GO β unique positioning, market timing is now
2. **Vertical AI Agent Templates for Accounting Firms** (Score: 74/100)
- TAM: $800M (US accounting automation)
- Competition: Medium (generic automation exists)
- Time to MVP: 8 weeks
- Path to $1M ARR: 12 months (high ACV)
- Verdict: β
GO β clear buyer, clear pain, willingness to pay
3. **Open-Source Agent Benchmark Suite** (Score: 68/100)
- TAM: Indirect (lead gen + brand)
- Competition: Low
- Time to MVP: 4 weeks
- Verdict: β οΈ CONDITIONAL β low direct revenue but high
strategic value for brand positioning
We went with #1. The war room didn't just generate ideas β it made the decision defensible.
Try It Yourself
bashShow code
mrchief war-room start --question "Your strategic question here"
Define your agents, their mandates, and the phase structure. The War Room skill handles the orchestration β agents run in parallel where possible, serialize where dependencies exist.
Best for: product ideation, market entry decisions, technology choices, pricing strategy debates. Worst for: questions with obvious answers (don't waste four agents on a Google search).
Four agents arguing for 45 minutes beats four founders agreeing for four hours.
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