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The Autonomous Marketer: She Trained AI to Replace Her. Her Agency’s Never Been Stronger.

Most people fear AI will replace them. Barbara Carneiro trained it to do exactly that, and her agency has never been stronger.

As the founder of a 10-person branding and communications agency and ActiveCampaign partner Spice Ink, Carneiro faced a problem that many agency leaders know intimately: she was the bottleneck. Every client strategy, every brand decision, and every creative direction flowed through her.

"I was having these amazing conversations and discovery sessions," Carneiro says, "but then I had to explain to my team the vision that I was able to capture from those meetings. There were dots that I was able to connect that they couldn't see."

Carneiro’s constant context-switching—jumping between social media reviews, newsletter checks, and design approvals—was draining her energy from what mattered most.

"This constant in-and-out of little pieces of each project, it basically just kills the main thing that I should be doing as the owner of the company, which is to be the visionary."

So Carneiro made an unconventional choice: she trained AI to think like her, make decisions like her, and ultimately take over her role as strategist.

"I want AI to take my job," she says. "I wanted to do it to a point where I'm just supervising, like I would supervise another team member. Not even supervision, but checking what they’ve done [before it goes live]."

The results? Strategy roadmaps that once took six hours now take 15 minutes. Carneiro’s team operates with minimal oversight, and she's testing scalable discovery sessions with 30+ clients at once.

"Strategy roadmaps that once took six hours now take 15 minutes."

AI gives the average marketer 13 hours of time savings each week. 

See how to best use your 13 hours with a trial of ActiveCampaign and Active Intelligence.

How to train AI to think like you (not just write like you)

Carneiro used a three-part workflow to replicate her strategic thinking through AI: the reasoning, the engine, and the knowledge.

The reasoning: Give AI rules and guardrails

When generative AI went mainstream, Carneiro resisted the obvious use case.

"I didn't want it to create content. I wanted it to think like me," she says. "You know how you could go in and be like, ‘act like a developer, act like an engineer.’ I'm like, ‘no, no, no. Act like Barbara.’ I want you [AI] to act like me so my team can ask you questions so my work can be done the way that I would do it."

So she created a framework, called the ARC Method, to train and set guardrails for AI and break down effective brand communication into three components:

  • Archetype (brand personality)
  • Reality (audience emotional landscape and generation) and
  • Chasm (the communication gap between them)

Together, these create 432 possible strategic combinations (Carneiro chooses from 12 archetypes × 4 active generations × 9 chasms).

"A human is going to have a hard time mapping that out," Carneiro says. "But an AI agent can actually utilize that type of curation and process reasoning."

Refining the ARC Method using Clarity

The engine: ChatGPT as model, Dash as context

Carneiro built her AI strategist on a combination of ChatGPT and Dropbox Dash.

  • ChatGPT: The AI model providing all of the logic and output. The muscle.
  • Dash: The repository of knowledge, context, and frameworks that the GPT can draw from. The brain.

She started with a custom GPT in ChatGPT that she named “Clarity.” Clarity helps her extract prompts and frameworks from her thinking—capturing the patterns she's been applying intuitively for years.

But Clarity had a limitation: it couldn't continuously access Spice Ink's institutional memory.

That memory lives in Dropbox Dash: discovery notes, strategy decks, brand boards, client newsletters spanning years, and video recordings of meetings.

A look inside Barbara’s Dropbox, with folders for each client

"I have probably 10 terabytes worth of files there," she says.

When Dropbox invited Spice Ink to beta-test Dropbox Dash, everything changed.

Dash searches across the agency's entire archive, including auto-transcribed video searchable by keyword and timestamp. It structures the unstructured files and data to make them easier for GPT to grasp.

"As soon as the video is on Dropbox, the transcript is immediately available," Carneiro says. "I can search for a specific word, and if it's in that video, it shows me the exact minute it's in."

Now her system works like this:

  • Clarity/GPT extracts prompts and frameworks from Carneiro's thinking
  • Dash applies those prompts across Spice Ink's full knowledge base

This separation lets Spice Ink preserve strategic logic while scaling execution.

The knowledge base: Arming an AI with Barbara’s searchable brain”

"Dash knows my documents per client," Carneiro explains. "It knows what belongs to that client because it's in the right folder."

Her knowledge base includes:

  • All 12 archetypes with complete descriptions
  • Four active generations with behavioral patterns
  • Nine communication gaps with examples
  • Client work from the last 20 years
  • Discovery session recordings and transcripts
  • Brand boards and strategy decks

Carneiro calls Dropbox Dash her "searchable brain." The knowledge base continuously updates with new client work, creating a system that learns from every project.

The results: Scaling the previously unscaleable

Spice Ink's AI strategist Clarity has transformed how the agency operates.

Brand strategy creation time has dropped dramatically. Carneiro's discovery process involves three one-hour meetings with client teams. She used to spend hours creating strategy roadmaps after those calls.

"I would sit for six hours to create the strategy. Clarity now does them in 15 minutes," she says.

The quality improved, too. "Sometimes my AI comes up with stuff that is way better than I would come up with by myself," Carneiro admits. "You know, some days you're tired, some days you're inspired, some days you're not. But with the right framework, she's always focused."

The team needs less oversight. "We are moving from human to machine. We have no copywriters and no content strategists," Carneiro says.

Team members now run assets through Dash to check alignment with client strategy, reducing review cycles and removing Carneiro as the bottleneck.

Discovery can now scale. Carneiro is testing group discovery sessions with 30+ participants at once. Each participant records their responses and uploads their video. Dash automatically generates their strategic profile, creating a lower-cost service offering without sacrificing quality.

Clarity in action: Thinking like an elderly audience

Carneiro constantly tests Dash's ability to apply her strategic thinking to real client work.

In one example, she asked Dash to simulate how an older user would experience a client's website design. The original image used thin fonts with low contrast: beautiful to younger eyes, but potentially illegible to the target audience.

She prompted Clarity: "Please apply an older user readability simulation to this image. This should include a 3px Gaussian blur and a 60% reduction in contrast. The goal is to make the text and visuals more accessible for an elderly audience by simulating how they might experience the content."

Clarity’s output: a sample image through the eyes of an elderly viewer.

The output showed exactly what they would see—and explained why and how the email matches the client’s ARC Method caregiver archetype.

Output from Clarity’s analysis of the original image

Stop being the bottleneck

By turning strategy into a system, Spice Ink made creativity easier to execute, not harder to protect. And that's the real promise of autonomous marketing: not only faster content—but clearer thinking, applied consistently, at scale.

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