We use GTM Hub for our marketing strategy work
Our marketing and dev team use GTM Hub to work on marketing strategy. We can build you your own GTM Hub. It starts the same way as the rest of our work: a free call, then the first week.
AI-first software
Your team uses different AI agents. We build the one system they all share.
Each person works with their own AI agent, and every agent works on the same company data. An AI agent is an AI assistant that does tasks for you, not just answers questions. People mostly check the data, and when they want something changed, they tell their agent. That's what we mean by AI-first software: a system that holds your company's data for the AI agents your people work through.
Right now, everyone's AI is working from a different copy of your data
Each person's agent only knows what that person pasted into it. Ask two agents about the same customer and you get two different answers. Sharing means copy and paste. To let an agent into a shared tool, somebody hands it their own login.
If you run crews or several locations, it probably looks like this. Your people have started using AI on their own, each with their own copy of the numbers. Where a job stands still lives in somebody's head or a spreadsheet. Then somebody types the update into the system after the fact.
We build one system all your agents read from and write to
It holds the data your team works on, in one place. Everyone's agent connects to the same system, so an update one agent makes is there for every other agent and every person who looks.
Your people keep the AI agents they already use and connect them to it.
People mostly use it to look: where a job stands, what's done, what's next. Their agents do most of the updating. When someone wants something changed, they tell their agent.
Every person gets their own access, and their agents get their own keys. A key is like a login made for an agent. It's how the system knows which agent is asking and what it's allowed to see and change.
The system and its data are yours. We can host it for you.
How agents connect
All our AI-first systems let agents connect through MCP and an API. In plain words: you point your AI agent at the system, and it can read and update whatever its key allows.
An agent only gets the access it's given
What stops an agent from changing something it shouldn't? Its access.
Each agent connects with its own key, and the key decides what the agent can see and change. In dlvr.one, an agent gets the same access as the person it works for. In other systems we build, an agent can have different access from its person.
People keep regular access too. dlvr.one also has approvals, and who can give them is set by permission.
If an agent writes something wrong, you can see what changed and tell an agent to fix it.
Our own teams plan marketing and run projects on systems we built this way.
Our own teams work in two systems we built this way
We use dlvr.one for our project management
Our business and dev teams manage projects in dlvr.one. We built it because the project tools we know are made for people, and our agents needed one made for them. We still needed to see progress and share it with clients.
Here's how we use it. Someone gives their agent a requirement. The agent files a note, or an AI product manager agent asks questions first and then writes the ticket. Approvals go through agents too. The screen people look at is read-only, and changes go in through their agents.
We can build you your own version of dlvr.one.
Start with a free call. Your first version is usually built in the first week.
Our AI team builds it, backed by senior engineers. You pay by the week: $2,000 a week, and your first week is $1,500. There's no minimum. You can stop any week, and if there's nothing left to build, you don't pay.
If you want more after the first version, we keep building it as a longer project. See how our weekly AI team works.
Want one fixed price for the whole project instead? That's our fixed-price option, Paid Discovery: a bigger discovery first, then a project with a fixed time and a fixed price. Ask about it on the call.
Tell us what your team's agents need to share
On the free call, tell us who's on your team, which AI agents they use and what they keep pasting from one place to another. We'll tell you if this is a fit and what we'd build in the first week.