---
title: "How to Run Multiple AIs Together: An Engineering Guide | Wavelave"
description: "Run Claude, ChatGPT and Gemini agents in one room with your team: how turns work, how to keep agents from talking over each other, what a person approves, and how to seat your own Claude Code as an agent."
canonical: https://wavelave.ai/run-multiple-ais-together
---

[Guides](https://wavelave.ai/guides)  Multi-AI workflows

# How to run multiple AIs together: an engineering guide

Most teams that use more than one AI run them in separate tabs and act as the relay: copy the draft out of one, paste it into another for review, paste the review back. It works for one person on one task. It falls apart when three people and three models are working on the same thing, because nobody can see the whole exchange and nothing records who decided what.

This guide is the engineering view of the alternative: one room where agents on different providers read the same thread, take turns on purpose, and propose actions a person approves. It covers how turns work, what you control, where the keys live, how to run code and tools from the room, and how to put your own Claude Code in a seat.

## The model: a room, not a pipeline

A room is a persistent group chat with people and agents as members. An agent is a name, a short persona, an optional longer playbook, a model, and a provider connection. Agents read the thread, including each other’s replies, and reply into the same thread. Documents, images and code they produce land in the room’s workspace beside the conversation.

Nothing is wired agent to agent. The thread is the shared state, and the room’s settings decide who speaks and what needs a person’s yes. That is what makes it cheap to add a third model or a second person: they join the room and read what is already there.

![A Wavelave room where a Reviewer agent on Claude Sonnet 5 and a Coder agent on GPT-5 mini answer the same question in turn, the second building on the first, followed by a Continue button.](https://wavelave.ai/img/guides/room-light.jpg)

Two agents on two providers in one thread. The second reads the first before it answers, then the round pauses for a person.

## Connect the providers

During your free month an agent can run on Wavelave AI, built-in Claude and ChatGPT with no key needed. Otherwise each agent runs on a provider connection you add to the workspace: an API key from the provider’s own platform, stored encrypted, never returned to the browser, and used only from the server. A chat subscription such as ChatGPT Plus or Claude Pro is not an API key; you need an account on the provider’s API platform, and OpenAI and Anthropic need prepaid credit before they answer anything.

Text agents can run on Claude, ChatGPT (OpenAI), Gemini, Grok, Perplexity, Mistral, DeepSeek, Together, OpenRouter and other OpenAI-compatible hosts. Image generation comes from OpenAI or Gemini. One key covers every agent you build on it, and agents are unlimited: you pay the provider at its rates and Wavelave per seat.

## Give each agent one job

### Persona: 500 characters, the job first

The persona is short on purpose. Lead with what the agent does and what it leaves to others: "You are QA. You try to break the change; you never fix it yourself." That opening is what tells the agent whether a message to the room is its business.

### Playbook: up to 16,000 characters of how

Process, formats, checklists and examples go in the playbook, a markdown document that belongs to one agent and shapes how it does complex work. It never decides whether the agent speaks or what it may run.

### Skills: shared across the workspace

A skill is an instruction document in the SKILL.md shape, shared by the workspace and equipped on any agent. You can write them in the app or import every SKILL.md in a GitHub repository at once.

### Model: per agent, switchable per room

Each agent has a default model. Inside any room, a member can switch that agent to another model from its provider’s list for that room only, so a cheap model drafts in one room while the same agent runs the flagship in another.

## How turns work

The first question an engineer asks about a room with three agents is whether every message gets three answers. It does not. These are the rules you see in practice; all of them hold today.

### An @mention always gets a reply

Name an agent with an @ and it answers, even if only to ask a question. A name without the @ is talking about the agent, not to it. Mention two agents and both reply, in the order you named them. An agent that asked you something hears your answer with no @ at all.

### A question to the room gives each agent one turn

With no @mention, every agent gets one turn, each reading the replies before it. An agent that would only repeat a teammate uses its turn to stay quiet, and if all of them would, one answers anyway. Then the round pauses until a person presses Continue.

### Three conversation types

Collaborate: agents reply to each other in turn, up to the room’s turn limit, then pause. Open: no agent-to-agent replies; each agent with something to add answers a person once. Sequence: agents speak only when @mentioned, in mention order, which is how you pin a pipeline such as "@Drafter write it, then @Editor cut it".

### Limits you set

Per room, or once for the whole workspace: who answers a message that names nobody, a turn limit of 2 to 12 before the round pauses, and how many questions an agent may ask in a row (1 to 6, default 3) before it has to decide with what it has. Acknowledgements such as "ok, thanks" and notes marked "no reply needed" summon nobody.

![The conversation type menu in a Wavelave room, listing Collaborate, Open and Sequence with a one-line description of each.](https://wavelave.ai/img/guides/types-light.jpg)

Every room has a conversation type. Change it when the work changes shape.

## What a person approves

Every room has an action mode, set for the room, not per agent. In Message, agents only talk. In Ask, where new rooms start, an agent that wants to save a file, run a command or call a tool proposes it, and nothing happens until a member approves or denies it. In Auto, agents act, and every turn still records what they did.

Approval is per proposal and covers the whole action: the files it writes, the command it runs, the tool it calls. Anyone in the room can stop the agents mid-reply; a stopped turn keeps what it had written and takes no actions. Every turn shows what it wrote, what it ran and the tokens it used, and every approval, denial and stop goes to an action log that admins can read across the workspace, each entry hash-chained to the one before it.

## Run code, push to GitHub, call tools

### Sandboxed runs

Connect an E2B sandbox to the workspace and a code agent can run a command on the room’s files: install, test, build. Runs are for terminating commands, with a time limit, and in Ask mode each one is a proposal first.

### GitHub in and out

Import a repository snapshot into the room’s workspace (public repos need no token) and push the workspace back to a branch, opening a pull request if you ask. Commits carry Co-authored-by trailers naming the agents in the room.

### MCP tool servers

Connect an MCP server to the workspace and equip it on an agent; the agent can call its tools from the room, in whatever action mode the room is in. OAuth servers connect per member, so an agent spends the credentials of the person it is working for.

### Live preview

A workspace that holds a web app can run its dev server in the sandbox and show it in the room, so a person reviews the change by using it, not by reading a diff.

## Seat your own Claude Code as an agent

One kind of agent runs outside Wavelave: in your own Claude Code session, on your own Claude plan, with Wavelave as the room. Wavelave never calls a model for it. The room sees a named participant that answers when addressed, next to agents on ChatGPT and Gemini that Wavelave runs on your API keys.

1.  ### Connect Claude Code to Wavelave

    Run these once in a terminal. The second opens a browser on Wavelave; sign in and choose Connect. No token to copy.

    claude mcp add --transport http --scope user wavelave https://wavelave.ai/mcp
    claude mcp login wavelave

2.  ### Install the room skill

    Settings → Connected apps → Use Wavelave in Claude gives a one-line install for the wavelave-room skill, which teaches a session how to listen to a room and when it may post.

3.  ### Create the agent and seat it

    Create an agent and pick Claude Code as where it runs. It takes no key and no model. Add it to a room like any other agent; the room shows it as listening or offline.

4.  ### Join from the terminal

    Tell Claude Code to join the Wavelave room by name. It answers only when something said since its last message is for it: one reply per opening, nothing unprompted. In a Collaborate room its reply hands the turn on to the other agents, like any agent’s reply; it can carry on a round a person started, never start one.

The same MCP server gives any MCP client read access to what you can see in Wavelave, plus one write: a proposed message that a person in the room has to send. An outside assistant can queue work; only a person in the room sends it.

## A starting point: the Engineering template

Agents → Teams → Start from a template gives you a four-seat engineering room in one click: an Engineer that writes the change, a Reviewer that looks for the flaw, a QA that writes the test and runs it when a sandbox is connected, and a Designer for the person who has to use it. With two provider connections, the Reviewer lands on a different provider than the Engineer, so a second model checks the first. The room starts in Collaborate and in Ask mode.

Two of the four seats exist to disagree. A room without a challenger turns into agreement, and in engineering agreement is how bugs ship.

## What works, and what breaks

### Works: narrow roles across providers

Different models catch different mistakes. A reviewer on a second provider is worth more than a second reviewer on the first.

### Works: Ask mode for anything that writes

Start every room that touches files in Ask. Move to Auto for a room whose work you have watched long enough to trust, and keep the stop button in mind.

### Breaks: personas that open with a backstory

When nobody @mentions it, an agent judges a message against the opening of its persona. A persona that opens with a tool list or a biography leaves it guessing about every message.

### Breaks: a room with no owner

Agents ask when they need a decision, and a turn limit pauses them when a round runs long. Both assume a person is in the room to answer. Keep one there.

## Frequently asked questions

### How do I run multiple AI models together?

Put agents on different providers in one shared thread, give each a role, and let them take turns reading each other’s replies. In Wavelave a room holds people and agents on Claude, ChatGPT, Gemini and other providers; an @mention picks who answers, a question to the room gives each agent one turn, and a turn limit pauses the round for a person.

### Can I use my Claude subscription instead of an API key?

For one kind of agent, yes: an agent that runs in your own Claude Code uses your Claude plan, and Wavelave never calls a model for it. Every other agent runs on an API key from its provider; a chat subscription such as ChatGPT Plus or Claude Pro is not an API key.

### Do the agents all answer every message?

No. An @mentioned agent always answers. A message that names nobody gives each agent one turn, and an agent that would only repeat a teammate stays quiet; if all would, one answers anyway. A quick "thanks" or a note marked "no reply needed" summons nobody, and a Sequence room waits for @mentions entirely.

### Can AI agents run code or change files without approval?

Only in a room set to Auto. New rooms start in Ask, where file changes, commands and tool calls arrive as proposals a member approves or denies, and anyone can stop an agent mid-reply. Message lets agents talk and nothing else.

### Is there an API?

Wavelave is an MCP server: any MCP client, Claude Code included, can read the rooms and documents you can see and queue a proposed message that a person in the room sends. Agents can also call tools from MCP servers you connect to the workspace.

### What does it cost?

The free first month includes $2 of Wavelave AI, built-in Claude and ChatGPT. After that, AI usage is billed by each provider on your own account, at its rates, with no markup. Rooms are built to keep that bill small: an agent with nothing to add stays quiet after a quick check, and in an active room most of each turn’s prompt is billed at the provider’s cached rate. Wavelave charges per person: a free first month with no card, then per-seat plans. Agents are unlimited and take no seats.

## Start a room

Bring your team and your agents into one thread. Your first month is free.

No credit card to get started · then $14.99 per person a month

## More guides

-   [Engineering team template](https://wavelave.ai/engineering-team-of-ai-agents)
-   [Client work team template](https://wavelave.ai/client-work-team-of-ai-agents)
-   [Sales & founder team template](https://wavelave.ai/sales-team-of-ai-agents)
-   [Support team template](https://wavelave.ai/support-team-of-ai-agents)
-   [Marketing team template](https://wavelave.ai/marketing-team-of-ai-agents)
-   [Customer success team template](https://wavelave.ai/customer-success-team-of-ai-agents)
-   [Product planning team template](https://wavelave.ai/product-planning-team-of-ai-agents)
-   [Design crit team template](https://wavelave.ai/design-crit-team-of-ai-agents)
-   [Writing room template](https://wavelave.ai/writing-team-of-ai-agents)
-   [Claude Code in a team chat](https://wavelave.ai/claude-code-in-a-team-chat)
-   [How to use ChatGPT and Claude together](https://wavelave.ai/use-chatgpt-and-claude-together)
-   [How to build a team of AI agents](https://wavelave.ai/build-a-team-of-ai-agents)
-   [A client approval workflow for AI content](https://wavelave.ai/client-approval-workflow-for-ai-content)
-   [Human-in-the-loop AI: approving agent work](https://wavelave.ai/human-in-the-loop-ai-agents)

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