Linara Bozieva runs her marketing agency with 35 AI agents.
Ravenous
Linara Bozieva built her fast-growing, one-person marketing agency that relies on a team of 35 specialized AI agents. A former senior industry analyst in Big Tech is the founder of Ravenopus, based in San Jose, Calif. It serves small businesses and startups and is charging monthly retainers in the $20,000 to $30,000 range. Founded in May 2024, the company is bootstrapped and has been profitable since its first day, she says.
Bozieva is part of a fast-growing trend: Sixty-percent of new business owners used AI in their launches in 2025, double the rate from two years ago, according to Gusto, the payroll processor.
Bozieva, who had a 15-year career in Big Tech, went into business for herself running a full-service marketing agency after a layoff from 11 eBay two years ago. Initially she relied on freelance team members, but she felt that model was inefficient. She began experimenting with new tools to get the work done more smoothly and quickly and gradually built a model around AI agents. “We run all the campaigns, do all the analytics and then learn and iterate to improve the results,” she says. She named the company Ravenopus after the raven, a bird that “learns to exploit whatever environment it lands in” and the octopus, known to “solve new problems on the fly, escape impossible traps and rearrange their environments,” as she notes on her website.
Bozieva believes this approach to business portends the rise of the billion-dollar, one-person business. “The single-operator stack is becoming industry-portable, which is what makes the billion-dollar trajectory mechanically plausible rather than aspirational,” she says.
Here is how she is pulling it off.
Use AI to spot inefficiencies
Bozieva, who moved to the U.S. with her family in 2021 after living in London and Zurich, started her career in Big Tech. At eBay, she spent 11 years building analytics functions used in more than 200 countries and leading go-to-market for the US Exports program, which, at the time, included 4.5 million US sellers selling in 208 markets. Prior to her work for eBay, she spent three years at Google Russia as a senior industry analyst. There, she was the first person hired for analytics and built the analytics function from the ground up.
The big advantage of her AI-driven approach, she finds, is it solves the “queue problem.” In traditional agencies, there are bottlenecks as work moves between specialists such as strategists and designers, and the team waits for briefings before moving onto the next phase of a project. “Sometimes, deadlines cannot be met,” she says. With the AI agents, work that might normally take a month, like research to understand customers’ pain points, might take one or two days, and AI agents can be as perfectly coordinated as Swiss watches, she says. “It depends on the client but usually in a week we have everything ready—and then it is just an ongoing improvement process,” she says.
Think differently about technology
Bozieva deliberately avoided building a typical software-as-a-service (SaaS) stack for her business. Instead of using one of the standard website builders, for instance, she custom-coded her website using Next.js and deployed it on Vercel. “The same engineering discipline that runs the agents also builds the sites,” she says.
“Most of the off-the-shelf SMB tools exist to solve coordination problems that come from having a team,” she says. “When the ‘team’ is an agent architecture, a lot of that tooling just falls away. You’re left with banking, payments, theinfrastructure the system runs on, and one coordination layer built for managing agents rather than people.”
Her current stack is made up of Mercury for business banking, Stripe for payments and invoicing, Google Workspace for email and documents, GitHub and Vercel for code and deployment, Supabase for data, GA4 and PostHog for analytics. She uses Multica to coordinate the agents themselves. “It runs from the command line, which is how everything here is wired together,” she says.
Put the right systems and structures in place. Bozieva has organized the business into three layers of organization: directives, orchestration and execution. She started out with an understanding of the roles she needed and the system architecture she wanted and then began experimenting, using Claude to help her design the systems. Initially she relied on12 agents who cover core marketing functions. “When new ideas came or something new was needed for a client, I added more agents,” she says.
Bozieva uses the exact same three-layered structure she applies to her business to help her clients, such as a regional supermarket chain for which she runs analytics. She has used the agents to create 13 analytical modules, 19 automated workflows, and a database of more than 100 tables for that client.
Bozieva, who is also a mom, used a similar structure to create a “family office,” system, with AI agents who handle legal, finance, styling and events for her child. “I love all of the strategies it comes up with,” she says.
Know when to use AI and when to avoid it. Bozieva started out with standard AI tools such as ChatGPT, Gemini and Claude before opting for more advanced tools. Currently, she has multiple AI systems running on her computer, but agents cannot act without explicit authorization. She estimates she spends under $1,000 a month in AI costs.
Although the agents can accomplish a lot, she recognizes that there are some things AI can’t do. “AI can’t feel,” she says. “So, if there is a marketing campaign that is heavily based on what people feel, the AI can’t empathize and evaluate the feelings coming out.” That’s when she steps in.
Keep people in the equation. Bozieva doesn’t intend to run a one-person business forever. “I can’t say I never want to hire anyone,” she says. “When the business needs that, I would love to hire someone. I understand that I alone can manage maybe 25 clients myself. You need the relationship building, all those soft skills. To have 100 clients, I would need a team. I need people like me who would be strategists and supervisors for the system, and client managers.”
Although it is increasingly possible to build a billion-dollar, one-person business, that isn’t her ultimate goal: It’s keeping clients happy while operating efficiently.