Built on the leading frontier models

Five AIs debate. One Decision Brief.

Live council run
~45s synthesis

Question

We're building a fintech tool. Should we focus on the underwriting workflow or the marketing layer first?

Fintech-deck.pdf5 modelsBusiness Council
GPT 5.5·Growth Strategisttyping

Claude Opus 4.7·Skeptical Investor

Gemini 3.1 Pro·Pragmatic Engineer

Grok 4.3·First Principles

Sonar Pro·Market Researcher

Final consensus

82/100 confidence

Waiting for the council to finish…

GPT, Claude, Gemini, Grok, and Perplexity each weigh in. They debate. They name where they disagree. Then you get one structured Decision Brief: verdict, confidence, dissent, next step. The kind of document you can actually ship to your team.

No credit card90-second first runExport to PDF, Markdown, link

The before / after

One AI gives you an answer.
The council gives you a decision.

A single model will always sound confident. The council shows you the cracks: the dissent, the unstated assumptions, the risks one mind would have buried in a fluent paragraph.

Single AI
One viewpoint

Output

"Great question! There are several factors to consider here. You could either raise prices on your existing customers or expand to new geographic markets first. Both approaches have merit. Ultimately, the right answer depends on your specific situation. I hope this helps!"

  • Confident tone, low-signal answer
  • No risks, no dissent, no math
  • You can't share this to a team
Council of 5
Decision brief

Verdict

Raise on net-new accounts, hold pricing on existing for 1 quarter, then re-price after retention data.

82 / 100 confidence
4 of 5 agreed

Risks

Churn lag will hide damage for 60 days

Dissent

Sonar Pro: hold flat, expand first

Assumption

NRR >110% on existing book

Next step

Run cohort survey before pricing change

  • Quantified, structured, and act-on-able
  • Disagreements surfaced, not hidden
  • One click export to a decision brief

How it works

The answer has to survive the process.

Three phases. Independent, then adversarial, then synthesized. Each step is visible while it happens.

01
Phase 01

Independent answers

Every selected model answers in isolation. No blending, no first-mover bias. You see five distinct takes side by side.

02
Phase 02

Open debate

Models read each other's reasoning. They challenge gaps, weak math, vague claims, and missing context. Disagreement is encouraged, not hidden.

03
Phase 03

Decision brief

Claude Opus 4.7 synthesizes a structured brief: verdict, confidence, agreements, dissent, risks, assumptions, next steps. One artifact you can ship.

The artifact

Not a chat log. A Decision Brief.

Every run produces one structured brief: the verdict, a confidence score, the points of agreement, the dissent, the risks, the assumptions, the missing context, and the next step. Export to PDF, Markdown, or a shareable link.

VerdictConfidence ScoreWhere Models AgreedWhere They DisagreedAssumptionsRisk FlagsMissing InformationAction PlanDissenting Opinion

Designed so a teammate can read the brief in 90 seconds and understand the call without rerunning anything.

Council Decision Brief

May 16 2026 · 5 models, 1 question

Question

Should we raise prices on existing customers, or focus capital on expanding to two new markets?

Verdict

Raise on net-new in Q3. Hold pricing on the existing book for a quarter, then re-price once NRR drag is measurable.

4 of 5 agreed
0/100HIGHLY CONTESTED

Agree

Net-new pricing first

Dissent

Sonar Pro: expand first

Risk

60d churn lag hides it

Next step

Cohort survey by Fri

Export to a sharable Decision Brief

PDFMarkdownShare link

Disagreement map

Where your 5 models split.

Claim
Build the underwriting workflow before marketing
Demand test before infra spend
Regulatory drag is the largest near term risk
A document native interface is the wedge
Pricing in the $499 to $999 ARPU lane

Sell the disagreement, not the consensus. The split is where the real decision lives.

Sell the disagreement

Most AI tools hide the conflict.
We map it.

The Disagreement Map shows, per claim, exactly where your 5 models split. Strong agreement is comfortable. Mixed signal is the part you read twice. A clean split is where the real decision lives.

Models

13+

Roles

22+

Presets

13

Attach source material to ground the council

pdfFintech-Ideas-Q3.pdf
5,007 chars extracted
xlsxT12.xlsx
3 sheets parsed
mdstrategy-notes.md
ready for context
codeapi/handlers.ts
147 lines, 2 funcs

Document context

Drop in the deck. The council reads it before debating.

Upload PDFs, Word docs, spreadsheets, CSVs, Markdown, JSON, text, and code. The app extracts the readable content first, then makes every model use it as ground truth during the debate.

  • Up to 8 files per run
  • Up to 40 MB total
  • Code, sheets, docs, PDFs
  • Models cite the source

Founders use the council for

Product strategy decisionsCode architecture reviewPricing and pricing powerHiring vs. opportunity costInvestment due diligenceLaunch sequencingContract and risk reviewAI system auditsProduct strategy decisionsCode architecture reviewPricing and pricing powerHiring vs. opportunity costInvestment due diligenceLaunch sequencingContract and risk reviewAI system audits

Why AI Council

Every other tool stops at the answer. We start at the decision.

Decision Brief, not chat

Verdict, confidence, agreements, dissent, risks, assumptions, next step. One artifact a teammate can read in 90 seconds.

Disagreement Map

We expose where the models split, per claim, with quotes. Nobody else has this. It's where the real risk lives.

Business Council presets

13 pre-wired advisory boards. Model picked, role assigned, prompt tuned. Click Run.

Document grounded

Upload the deck or contract. Every model uses it as ground truth before responding. No invented facts.

Real role personas

Skeptical Investor, Customer Voice, Security Auditor, Performance Optimizer. 22+ roles, each with a real prompt.

Export everywhere

PDF, Markdown, shareable link. Built so the brief travels: Slack, Notion, Linear, an exec email.

Pricing

Each run uses 5+ frontier models. Price reflects that.

Independent answers, real debate, synthesis. Plans keep the experience premium without forcing you into enterprise pricing.

Free

$03 runs per month

Try the council on a real question.

  • 3 council runs / month
  • Up to 5 models
  • All 3 council modes
  • PDF + doc upload
Start free

Council

$20per month

For occasional strategic decisions.

  • 20 council runs / month
  • 15 image generations / month
  • Chat with any model, together
  • Full Decision Brief export
  • Email support
Choose Council
Most Popular

Council Pro

$49per month

For founders, operators, and builders running weekly councils.

  • 60 council runs / month
  • 30 image generations / month
  • Chat with any model, together
  • Per-answer export (PDF, Markdown)
  • Priority synthesis model
  • Priority support
Choose Pro

Council Max

$129per month

For teams running councils across departments.

  • 200 council runs / month
  • 250 image generations / month
  • Chat with any model, together (4K image gen)
  • Team seats + API access
  • Dedicated support
Choose Max

One-off council runs are available for $1.99. No subscription required.

See all features and FAQs
New · MCPv0.1

Run the Council from inside Claude.

Drop the AI Council into Claude Desktop or Claude Code as MCP tools. Call council, chat, and image_gen from any agent that speaks MCP. Same models, same persistence, no juggling provider keys.

council

5-model debate → brief

chat

Up to 5 models per turn

image_gen

OpenAI · Imagen · Grok

Set up the MCP server

3 steps, ~2 minutes. Free with any AI Council account.

Ready to run your first council?

One free run. No credit card. 90 seconds.

Bring a real decision you're wrestling with. We'll bring the council.