Your agent, our expertise
BlockBuzz builds the site and the AI agent that runs on top of it, hands the controls to your team, and stays on as the expert layer: monitoring, optimizing and buying the media.
The problem
Teams buy AI tools nobody on the payroll can operate, or hand the whole function to an agency that keeps the keys. The first ends in an unused subscription; the second ends in a dependency that gets more expensive every quarter, and neither leaves the team better at the work.
Our approach
We build the site and the agent around how your team actually works, then hand over the controls with the training to use them. After that we stay on the outside of the loop: monitoring output quality and cost, optimizing the system as your product moves, and running the paid campaigns it feeds. You keep the asset and the operating knowledge; you rent the expertise, not the access.
Deliverables
- AI agent build & deployment
- Site & content infrastructure
- Knowledge base & prompt system
- Team enablement and handover
- Ongoing monitoring & optimization
- AI-assisted paid campaigns
Common questions
Who owns and operates the agent?
You do. The agent, its knowledge base and its accounts are yours, and your team runs it day to day. We build it, train the people who will use it, and stay on as the expert layer rather than the gatekeeper.
What happens if our team cannot keep it running?
That is what the monitoring engagement is for. We watch output quality, drift and cost, flag what needs to change, and either fix it or teach whoever owns it that week. Handover is a milestone, not an exit.
Does this replace our marketing team?
No. It removes the mechanical half of their work (drafting, variant generation, reporting, first-pass research), so the judgment work gets the hours it needs. Teams that treat an agent as a headcount cut usually end up with more output and less signal.
How does this connect to paid campaigns?
The same agent that produces the content feeds the ad pipeline: variants, audience notes and creative iterations. We run the buying and the optimization against your real conversion events, on the same reporting discipline as our growth practice.
Is this only for Web3 projects?
The practice was built inside crypto, where the technical bar is highest and the compliance edges are sharpest. Nothing in it is chain-specific, so the same build applies to teams outside Web3.
Who runs it after we leave?
If the answer is nobody on your team, the build is wrong. Let's talk about the one that isn't.