The AI agent / harness space is pretty crowded today. Another challenger, Buzz AI, has entered the arena. Something like that would be ignored except for one important point: Buzz was created by billionaire tech-bro Jack Dorsey, co-founder of Twitter.
I watched a video demo by a Buzz salesperson, and wouldn’t you know it, the pitch was feature-rich and outcome-poor. I learned what it does at a granular level but failed to see what real-world problems it solves for me.
The salesperson said that with Buzz:
- Agents are first-class citizens, equal to humans.
- You can choose different runtimes.
- You can use your Claude subscription.
- You can share compute.
- You can build apps.
- You can use Git.
- You can create workflows.
- You can orchestrate several models.
All this could be chopped down to size and turned into something useful with two words: so what?
Translate the Feature Into a Consequence
Those are features. What never becomes sufficiently clear is what becomes dramatically easier, cheaper, faster, or newly possible because all of those things live together.
The salesperson kept repeating, “Agents are first-class citizens,” as if that’s supposed to mean something to me.
So what?
Does treating agents like coworkers mean projects finish without me babysitting them? Can I replace five AI tools? Can I get development work done from my phone? Will I save $800 a month in API usage? Does it reduce handoffs between people and agents?
“Agents are first-class citizens” is product language.
“Your team can hand a task to an AI coworker in the same channel where the work and context already live” is closer to buyer language.
The second version gives me a situation I recognize. It also implies a result. I can picture somebody assigning work, the agent finding the necessary context, and the finished result appearing in the same place.
Let’s explore other issues with the pitch:
The Product Keeps Changing Identities
Buzz is presented as an agent creator, agent manager, Slack replacement, Claude subscription workaround, multi-model router, shared-compute platform, coding environment, Git host, workflow engine and global context window.
Those may all be accurate descriptions. Commercially, they compete with each other.
Every additional identity forces the buyer to reconsider what the product is for. Instead of accumulating value, the descriptions produce fog. The viewer finishes the demonstration knowing that Buzz can do many things without knowing which problem should cause him to reach for Buzz tomorrow morning.
A crowded product category makes this worse. Buzz isn’t competing with an empty desktop. It is competing with whatever collection of AI tools, subscriptions and habits the prospect already has. “We do more things” doesn’t supply enough pressure to make someone abandon that setup.
The Demo Proves the Model, Not Buzz
The centerpiece of the pitch is an agent building and deploying a basic CRM. That’s technically impressive, but AI-generated apps are no longer surprising. Cursor, Claude Code, Codex, Replit and other tools can all help build an app.
The obvious response is: Why did Buzz matter?
A better demonstration would require the features unique to Buzz. A salesperson could report a customer request in the team channel. One agent researches the account. Another changes the product. A third tests the change. A human approves it from a phone. A deployment agent ships it and reports back to the channel.
Now the demo proves human-agent collaboration, persistent context, multiple models, workflows and remote control. Building a CRM mainly proves that the coding model can build a CRM.
The Money Claim Gets Left on the Table
The strongest potential sales argument is mentioned almost in passing: Buzz can apparently use an existing Claude subscription instead of forcing the customer to pay separately for every API call.
That could be worth real money. Yet the pitch never puts numbers around it. We hear phrases such as “super expensive,” “uses fewer tokens” and “you just have it on your subscription.”
Show the old monthly cost. Show the new cost. Run the same workflow both ways. Even without an exact savings figure, the salesperson could explain which second bill disappears and under what conditions.
“Cool” is not a unit of economic value.
Copywriters Still Have Plenty of Work
Buzz may be a remarkable product. The pitch never gives me enough reason to care.
That demo is proof that anybody who knows even the basics of copywriting can still cash in all over the place in 2026. Technical companies remain remarkably good at explaining what their products contain and remarkably bad at explaining why anybody should change what they already do.
You don’t need to understand every runtime, model or orchestration system to improve this pitch. You need to sit through each feature and keep asking the question the demo avoided:
So what?
Seven Lessons for Marketers
- Run every feature through the “so what?” test. Keep translating until you reach a result the buyer already wants.
- Choose one dominant problem. A dozen possible uses can make a product harder to understand, not more desirable.
- Demonstrate what makes your product different. If several competitors could produce the same result, the demo proves the category rather than your product.
- Put the old way beside the new way. Show the difference in cost, time, steps, handoffs or supervision.
- Quantify economic claims whenever possible. “Cheaper” is an assertion. A before-and-after figure gives the buyer something to judge.
- Translate internal terminology into a recognizable situation. Buyers should be able to picture themselves using the product.
- Stop calling features “cool” and “powerful.” Supply enough evidence that the buyer reaches those conclusions without assistance.