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SynthBoard

Multi-Perspective AI

Multi-perspective AI,
as many minds as the call needs.

One AI gives one answer. SynthBoard starts with one named expert on your question — and when one view isn’t enough, you make it a board: experts with different lenses, seated on different AI models, who argue it and keep the dissent.

Start free Meet the 24 experts

An example: one expert on the card first. When one view isn’t enough, Make it a board from the same card.

In short

What is multi-perspective AI?

Multi-perspective AI applies multiple expert AI advisors — each with a distinct cognitive lens, persona, and underlying model — to the same question, and keeps the minority opinions in what it hands back.

A single AI returns one perspective with confidence, shaped by one training set and one provider’s habits. For drafting and research that is fine; for a decision it leaves the most important question open — what would a different mind say? Scott Page’s work on cognitive diversity argues that a group’s range of perspectives can matter more than the ability of its best member. Advisors with competing priors, horizons and appetites for risk surface the angles one model misses.

One expert first
A consult puts one named expert on the question — about a minute, up to 65 credits on the card.
Make it a board
When one view isn’t enough: opposed seats on different AI models, each researching alone, then reacting once to the others.
The lenses
24 named experts — the CFO, the Skeptic, the Customer, the Futurist and more — each holding a position.
What comes back
The call, who disagreed and why, a confidence that drops with dissent (never above 90), and a first step with a date.

Two questions

One view, or three.
Sized to the call.

A product question one expert can answer, and a job decision seen from three seats. Examples, trimmed for length.

Onboarding fell to 44%

Work · One expert

Onboarding completion fell from 61% to 44% after our August redesign. We ship again on the 28th. What do I fix first?

Chief of staff

One expert first: The Designer, on the flow itself. If the answer turns on pricing or the roadmap, you can make it a board from the same card.

  • The DesignerUX/UI Expert

Asked first

At which step do most people stop?

Connecting their dataInviting the teamNot sure

The call · The Designer

Move “Connect your data” to after the first project, not before it. Ship that on the 28th, on its own.

The redesign put the hardest step first. People who have seen one result connect their data to get more; people asked to connect before they have seen anything leave. Change one thing, so the next number tells you whether it was this.

One expert · up to 65 credits on the card · an example, not a recorded run

The counter-offer

Life · Board of 3

I accepted a job at a fintech starting November 4. My current company just countered with 18% more and a new title. Stay, or go?

Chief of staff

One view isn’t enough here, so this is a board: The CFO, The Empath and The Skeptic. The same question from three seats — each researches alone, then they react to one another.

  • The CFOFinancial Controller
  • The EmpathPeople Advocate
  • The SkepticRisk Assessor

Asked first

Why did you start looking in the first place?

MoneyMy managerRoom to grow

The board’s call

Go. Thank them for the counter, and start on November 4 as agreed.

The CFO saw the money: 18% closes this year’s gap, not the one in three years. The Empath saw the trust: you have already told a new team yes. The Skeptic saw the reason you looked — room to grow — and a new title does not change who you report to.

Confidence71 · Moderate

The CFO disagreed

“18% now compounds. If the fintech’s offer was within 5% of the counter, the money says stay”

First step Decline the counter in writing, warmlytomorrow

Board of 3 · up to 135 credits on the card · an example, not a recorded run

What it takes

Different minds, one question.
The disagreement kept.

Make it a board

When one view isn’t enough, make it a board from the same card: experts with different lenses, seated on different AI models, each researching alone, then reacting to the others.

Every lens reads your facts

What you tell her stays on file, with where it came from, so every expert starts from the same facts about you. Nothing new is kept until you say it is still true.

Minority views, kept

The memo keeps who disagreed, why, and what would change the call. Its confidence drops with dissent instead of averaging it away, and is never above 90.

Lenses that hold their corner

Each expert is built to hold its position under pressure instead of folding into agreement. The Skeptic and the Visionary reach different conclusions on the same input, by design.

Compared

One AI vs multi-perspective AI.
Each has a job.

Single AISynthBoard
ArchitectureOne model, one answer24 named experts, seated on different AI models
Provider riskOne provider’s blind spots dominateSeats spread across model families
DisagreementDrifts toward agreeing with youBuilt into every board: opposed positions on a decision
MemoryPer conversationWhat you told her stays on file, with where it came from
OutputOne answer, smoothedOne call, with the dissent kept
Follow-throughNoneA dated first move, and one check-in on the day
Best forDrafting, Q&A, learningDecisions where one perspective is not enough

For drafting, questions and learning, one AI is often enough. For a decision where one perspective is not, put several on it.

Who sits

The lenses.
Each one holds a position.

Experts with different priors, horizons and appetites for risk. She proposes who sits for your question; name anyone you want seated.

Pick an expert

Hover, tap or tab throughSwipe, then tap one
  • GPT
  • Claude
  • Gemini
  • Grok

Seats are spread across model families: GPT, Claude, Gemini, Grok and more.

Questions

Fair questions.
Straight answers.

What people ask before they put more than one mind on a call.

What is multi-perspective AI?

Multi-perspective AI applies multiple expert AI advisors — each with a distinct cognitive lens, persona, and underlying model — to the same question. Instead of one model returning one answer, a panel of advisors take positions, argue, and produce one recommendation that keeps the minority opinions. SynthBoard is the productized form: 24 named experts, a Chief of Staff who sizes the room to the call, and seats spread across different AI models.

Why is multi-perspective better than a single AI?

Three reasons. (1) Cognitive diversity — research by Scott Page and others shows that diversity of perspective is a stronger predictor of group decision quality than individual IQ. One model has one set of biases; a panel of advisors has competing biases that cancel and surface different angles. (2) Anti-sycophancy — single-AI tools collapse to agreement under user pressure; multiple advisors with competing objectives cannot all collapse the same way. (3) Multi-LLM resilience — different model families have different blind spots. Spreading a panel across model families reduces single-provider risk.

How is this different from a multi-agent developer framework?

Multi-agent frameworks (CrewAI, AutoGen, LangGraph) are toolkits — you write each agent in code, design the orchestration, build the synthesis layer, instrument the memory. Multi-perspective AI as a productized form (SynthBoard) is the same architecture without the build cost: a bench of pre-built expert advisors, a Chief of Staff who staffs the room, automatic memory, automatic synthesis. Frameworks are for building agents into your own product. Multi-perspective AI as a product is for using the architecture to make decisions.

How many perspectives are useful?

Enough that no single one can collapse the recommendation. One named expert is often enough — that is a consult. For the biggest calls, a board: Your Chief of Staff proposes who sits for the call, and every board is built with someone whose job is to argue against the obvious answer. Name an expert and they take a seat; tell her who you want on your board and they sit by default. How many seats a board has depends on your plan.

Are the perspectives genuinely different, or just different prompts?

Genuinely different. Each expert runs a six-layer persona stack (base prompt + 7-dim DNA + OCEAN + cognitive framework + position-integrity rules + voice archetype), and a board spreads its seats across different AI models. The Skeptic and the Visionary reason differently and are built to hold their positions. They reach different conclusions on the same input — by design, not by prompt accident.

Can I see the disagreement, or does the synthesis hide it?

You see the disagreement. The memo keeps minority opinions as a first-class output — not a footnote: who disagreed, why, and what would change the call. Its confidence drops with dissent instead of smoothing it into an average, and when an expert changes position the memo says so. Every seat’s full turn stays readable.

Who uses multi-perspective AI?

Anyone facing a decision where one perspective is not enough — founders making strategic calls, operators owning major decisions, consultants running structured reviews, and individuals weighing high-stakes personal choices. The architecture is universal; the panel is proposed for each decision.

Next

SynthBoard (synthboard.ai) is one place for your business, your life, and every hard call. Your Chief of Staff keeps what you tell her on file, and 24 named experts on different AI models take the calls — one expert for a consult, a board with opposed seats for the hard ones — and hand back a memo with the call, the dissent and the first move. How it works.

Stop relying on one AI for decisions that matter.
Start with one expert.

Onboarding fell to 44%. What first?Stay for the counter-offer, or go?See my plan from three seats

It waits in her box after you sign up. Nothing is sent until you press send.