The operator system

Zagoso.

The GTM operating system for Agent Operators. Run your apps, activate agents, build skills that compound.

One system to manage the work: what agents are running, what needs review, what got approved, what it cost, and what should run next.

The thesis

Agents create leverage only if humans can run them.

Every GTM team I've worked with is stacking AI tools on top of broken processes and calling it transformation. The bottleneck isn't the agents. It's that nobody built the operating layer above them.

Zagoso is that layer. It's the system where a human operator logs in, picks a customer workspace, opens a GTM app, gives direction, reviews the work, approves outputs, and tracks what happened. Chat exists in the product, but the product isn't chat. It's a structured operating console.

The question Zagoso answers is: what did my agents actually do today, did I approve it, and what did it cost?

The system

One system. Three layers.

You use the apps. Agents execute. Skills make it possible. Every layer feeds the next one.

Apps  // what you use · purpose-built surfaces · one per GTM motion
Agents  // the work layer · plan, act, report, repeat · direction stays with you
└ Skills  packaged capabilities · versioned like code · called by every agent
└ Runs  every execution logged · input · output · cost · approval state
The operator

The human who runs the thing.

An Agent Operator isn't a passive user. They're the person responsible for turning strategy into shipped work. They open the app, assign the brief, review what comes back, approve or revise, and track what went out.

They might be a founder running their own content and pipeline. A GTM operator managing three customer workspaces. A RevOps lead who inherited a stack of disconnected tools and is done with it.

One operator. Ten agents. A hundred skills. That's the math Zagoso is designed around.

Product hierarchy

Everything has a place.

The whole system is organized so every agent action has an address. A workspace. An app. A workflow. A run. An approval. A cost line.

Organization  // top-level account
Workspace  // customer-specific environment · isolated data + agents + settings
└ App  Founder Brand · Pipeline · SEO/AEO · YouTube · Account Intelligence
└ Workflow  generate weekly posts · build account list · draft outreach
└ Agent  Founder Voice · LinkedIn Drafting · Signal Research · Campaign Copy
└ Run  input · output · cost · approval state · activity log
First use case

Founder Brand. Two surfaces.

The first app built on Zagoso is Founder Brand. It covers the two motions every B2B founder needs but doesn't have time to run: content and pipeline.

Surface 1

Content.

Daily LinkedIn posts, weekly newsletters, long-form essays, infographics, carousels. All drafted in the founder's voice. All waiting for approval before they ship.

Agents: Founder Voice · Content Strategy · LinkedIn Drafting · Article · Infographic · Carousel · Content QA

Surface 2

Pipeline.

ICP-fit account lists built from real signals. Personalized outbound drafted and queued. Replies routed. Follow-ups that don't drop. Pipeline work that doesn't fall off the calendar.

Agents: ICP · Account Research · Signal Research · Signal Brief · Campaign Copy · Reply Classification

Coming

More apps.

SEO/AEO content, YouTube production, event campaigns, account intelligence. Every app sits on the same operator layer. Skills compound across all of them.

Why it compounds

Skills are the reason this works.

A skill is a packaged way to do something. Once it exists, every agent in the system can call it. Write a post in founder voice. Extract POV from a transcript. Create a carousel outline from a framework. Draft a signal brief. None of these get built twice.

Every skill shipped in Founder Brand is available in Pipeline. Every skill in Pipeline is available in the next app. The marginal cost of the next workflow is a fraction of the first one. That's what makes this a platform, not a product.

Every run is logged. Every approval is tracked. Every cost has a line. The operator sees everything that happened and everything that needs review.

The control room

Agent CFO. Agent IT. Built in.

Every run has a cost. Zagoso tracks it by org, workspace, app, workflow, agent, and skill. That's Agent CFO. It starts as internal telemetry and becomes customer-facing reporting when you need it.

Agent IT is the operational health layer. Failed runs, stale integrations, approval bottlenecks, rate limits, version changes. The operator knows what broke and why before it becomes a customer problem.

First workspace

Building with design partners first.

The first Zagoso workspace is live. The Founder Brand app is shipping. We're running the content and pipeline motions for a small group of B2B founders who want to be in the room while it gets built.

Design partners get the full system, direct access, and a say in what ships next. The product is going to be shaped by the operators using it. If you run GTM for a company and you're done duct-taping tools together, zagoso.com is where to start.

What's in the platform

Every action creates a receipt.

These aren't on a roadmap. They're in the system.

Multi-tenant workspaces
Customer data, agents, settings, and context are isolated from day one. Not an afterthought when you add the second customer.
Skill library
Versioned like code. Available to every agent across every app. Written once, called everywhere. Compounds with each new workflow.
Run logging
Every agent action has an ID, a timestamp, an input, an output, a cost, and an approval state. The receipt exists before the question gets asked.
Approval system
Agents don't publish, send, or route anything customer-facing without operator approval. That's not configurable on day one. It's the default.
Intelligence Engine
Workspace-level context: founder voice, ICP, content pillars, approved language, account history, campaign history. Agents pull it. Operators edit it.
Role-based access
Owner, Admin, Agent Operator, Reviewer, Viewer, Client. Per workspace. Built for the agency model and the internal team model at the same time.
Follow the build.

The operator system is shipping now.

Subscribe to Shipped for weekly build updates. Or go straight to zagoso.com to apply as a design partner.