Meet Nash: The AI Agent Named After a Nobel Laureate

Today we are introducing Nash — the flagship AI agent at the heart of every Coherence workspace.

Nash is not a chatbot bolted onto a CRM. Nash is an AI teammate that works inside your workspace — reviewing your records, researching, drafting, updating what you have permitted it to change, and reporting back on what it did. Ask it directly, or set up Playbooks so recurring work runs on a schedule or when records change.

Why "Nash"?#

Every great AI deserves a name. Claude has Anthropic. Fin has Intercom. Julian has 11x.

We named ours after John Nash, the Nobel Prize-winning mathematician whose equilibrium theory describes how competing forces reach a stable, coherent outcome.

That is exactly what Nash does for your business.

Your business has competing signals — leads going cold, follow-ups slipping, content to publish, competitors to watch, pipeline to manage. Nash takes all of those signals in and finds the balanced action plan. It is not just automation. It is equilibrium.

There is even an academic paper exploring the connection between coherence and Nash equilibrium (arXiv:2201.00746). We did not plan that — but when your company is called Coherence and your AI is called Nash, the math checks out.

What Nash Does#

Nash works in two ways: on request, and through Playbooks.

1. On request#

Ask Nash in chat to review a set of records, research a company, draft a document or outreach post, or clean up the fields on an account. It works with the same permissions and approval rules as the rest of your workspace.

2. Through Playbooks#

A Playbook turns recurring work into a defined job: a goal, the evidence that has to be present before any work starts, and a trigger — a schedule you choose, or a record being created or updated. When the trigger fires and the eligibility checks pass, Nash (or the agent you assign) receives a task. When they do not, nothing runs.

3. Work and report back#

Nash works through its tools — CRM operations, document creation, web research, drafting outreach, and handing tasks to other agents — then reports what it did. Sensitive actions follow your approval rules, and Nash never sends email on its own: it drafts, and a person reviews and sends. If a workspace Owner or Admin turns on agent email, Nash can also send a message from your mailbox when you ask it to in chat — but only after you approve the exact email.

Nash Is the Coordinator#

Coherence lets you create multiple AI agents — a sales rep, a researcher, a content writer, a support bot. Each one specializes.

Nash is different. Nash is the flagship — the coordinator that comes built into every account. It can see the context you have given it access to and assign tasks to the specialist agents you create.

Your custom agents are the specialists. Nash is the one making sure they are all pulling in the same direction.

Nash Remembers#

Nash can save what it learns as memories — workspace-wide knowledge, or memories scoped to an individual team member — and search them in later conversations and tasks. It can remember that Sarah prefers email over calls, or which research approach worked last time.

That context carries forward, so you are not re-explaining your business every time you start a new request.

Start Working with Nash Today#

Nash is available in every Coherence workspace, and its work draws on your plan's AI credits. Ask it for something specific today, then — on Starter, Pro, or Team — turn the work you repeat into a scheduled Playbook.

Start working with Nash

Meet Nash