Skip to content
SynthBoard

Multi-Agent AI

Multi-agent AI,
built for business decisions.

Several AI agents — each a named expert with its own role — on one decision, seated on different model families, researching alone, then reacting to one another. SynthBoard is a finished product for making the call, not a framework for building agents.

Start free See the platform

An example: a board’s card before it runs. Its seats are spread across model families — GPT, Claude, Gemini, Grok and more — so the room is not one lab’s habits.

In short

What is multi-agent AI?

Multi-agent AI is a pattern where several AI agents — each with a different role, perspective, or expertise — coordinate to analyze a problem together and produce a richer result than any single agent could deliver alone.

Most multi-agent AI people meet is for developers: frameworks like CrewAI, LangGraph and AutoGen that let engineers assemble agents for their own workflows. SynthBoard is the other kind — a finished product for decisions. No agent definitions, no orchestration code: 24 pre-built experts, a Chief of Staff who sizes the room to the call, and a memo that keeps who disagreed.

The agents
24 named experts, each with one remit and a point of view it holds. Nothing to define or prompt.
The orchestration
Each expert researches alone, then reacts once to the others. On a decision, two take opposed positions.
The models
Seats are spread across model families — OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok — with Perplexity Sonar grounding research in the live web.
What it costs
A board on Free reads about 95 credits on its card; one expert reads about 45 credits.

Two decisions

Agents on a real call.
From the seats that matter.

A build-or-buy call for an engineering team, and a job offer for an engineer. Examples, trimmed for length.

Build the support agent, or buy one?

Work · Board of 3

We get 9,000 support tickets a month and have two engineers free in Q1. Build our own support agent on LangGraph, or buy one off the shelf at about $1 a resolution?

Chief of staff

This is a board call: The Engineer, The CFO and The Customer. They sit on different AI models, research alone first, then react once to one another.

  • The EngineerTechnical Builder
  • The CFOFinancial Controller
  • The CustomerUser Voice

Asked first

How many of the 9,000 tickets are the same twenty questions?

Most of themAbout halfFew

The board’s call

Buy for the first two quarters, and build only the billing flows the vendor can’t reach.

If half the tickets repeat, a bought agent resolves them within weeks for about $4,500 a month. Two engineers for a quarter cost more than that — and they would still be building the parts nobody sees: evaluation, the hand-off to a person, the fallback when the model is wrong.

Confidence66 · Moderate

The Engineer disagreed

“Every month on a vendor is a month your ticket data improves their product, not yours”

First step Run a 30-day trial on the billing queue onlyby 15 January

Board of 3 · about 95 credits on the card · an example, not a recorded run

The startup offer

Life · One expert

I’m a backend engineer at a bank on $140k. An AI startup offered me a staff role at $165k plus 0.3% equity, starting in January. Their last round valued them at $60M. Is the equity worth the risk?

Chief of staff

One expert is enough for this: The Investor, who thinks like a board, an LP and a later acquirer at once.

  • The InvestorVC Partner

Asked first

Is the 0.3% in options or shares, and over how many years does it vest?

Options, 4 yearsSharesNot sure

The call · The Investor

Take it if you would take the $165k alone. Value the equity at zero for the decision, and treat it as upside after.

0.3% of $60M is $180,000 on paper — before two more rounds of dilution and the strike price. Most companies at this stage return less than that to an employee; a few return far more. The salary is the part you can count on.

One expert · about 45 credits on the card · an example, not a recorded run

What you get

Several agents, one decision.
No orchestration code.

Orchestration you don’t write

The board’s rules are built in: someone always argues against the obvious answer, two take opposed sides on a decision, and the seats sit on different model families.

One memo, the dissent kept

What the agents hand back is one memo: the call, the conditions, who disagreed and why, and a first step with a date. Confidence drops with dissent and is never above 90.

It reads your stack

She reads Linear, Jira, Notion and Slack, and says what she read. Tools are read until you allow writing, and every write is a preview you confirm — on Pro and above.

Sized to the call

Not every question needs a board. One named expert takes a question that needs one — about a minute, its price on the card — and the answer comes back in the shape the question needs, one of 11.

Compared

A framework, or a product.
Each has a job.

Developer frameworkSynthBoard
Who it’s forEngineers building agents into their own productAnyone with a decision to make
What you writeAgent roles, prompts, orchestration, evaluationOne message to your Chief of Staff
The agentsWhatever you define24 named experts, each with a point of view it holds
The modelsWhichever you wire inSeats spread across model families
What comes backWhatever your code returnsA memo: the call, the dissent, a first step with a date
What it costsYour model bills, plus engineering timeCredits — the price on the card before it runs
Best forCustom agent workflows inside your softwareMaking the call

CrewAI, LangGraph and AutoGen are good tools for building agents into software. SynthBoard is for putting several agents on a decision today, without writing one.

Who sits

The agents, pre-built.
Each one holds a position.

Each expert is an agent with one remit and a point of view it holds. 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 several agents on a decision.

What is multi-agent AI?

Multi-agent AI is a pattern where several AI agents — each with a different role, perspective, or expertise — coordinate to analyze a problem together. Instead of one AI producing one answer, multiple agents produce different analyses that are synthesized into a richer, more robust result.

How is multi-agent AI different from a single AI chat?

A single AI chat gives you one voice filtered through one model’s biases. Multi-agent AI gives you several voices with different incentives, surfacing disagreement that a single model would smooth over. For decisions, that disagreement is the point.

Is multi-agent AI only for developers?

No. Developer frameworks like CrewAI and AutoGen require coding and prompt engineering. Products like SynthBoard deliver the same underlying pattern as a ready-to-use experience — describe your decision, name any advisor you want, and your Chief of Staff staffs the room; it runs when you tap.

What business decisions benefit most from multi-agent AI?

Strategic pivots, fundraising timing, executive hiring, pricing strategy, M&A evaluation, and product prioritization — anywhere a single confident perspective would be risky and multiple viewpoints would surface critical risks.

Do the experts really think independently?

Yes. Each advisor runs independently with its own role and expertise, and a board seats them on different AI models. When a CFO advisor contradicts a growth advisor, the disagreement is genuine — not scripted. That is why the output is more useful than a single model’s reply.

How is multi-agent AI different from multi-LLM AI?

They overlap. Multi-LLM refers to using models from multiple providers (OpenAI GPT-5, Anthropic Claude, Google Gemini, xAI Grok). Multi-agent is the broader pattern — multiple distinct agents coordinating, regardless of model. Strong multi-agent platforms use both: different experts with different roles, powered by different models.

Is it secure for business use?

SynthBoard encrypts your data, isolates it per account, and keeps your rooms private unless you share them. A room can also run off the record, leaving nothing on file.

How is multi-agent AI priced?

Free to start — 150 credits every month + 250 to start. Talking to your Chief of Staff is free within a daily allowance. A consult or a board shows its price on the card before anything runs, and nothing runs until you tap.

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.

Multi-agent AI, without the engineering lift.
Start free, with one message.

Build our support agent, or buy one?Is this startup’s equity worth it?Which agent framework should we pick?

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