Gusto<\/a>, the payroll processor.<\/p>\nBozieva, 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. \u201cWe run all the campaigns, do all the analytics and then learn and iterate to improve the results,\u201d she says. She named the company Ravenopus after the raven, a bird that \u201clearns to exploit whatever environment it lands in\u201d and the octopus, known to \u201csolve new problems on the fly, escape impossible traps and rearrange their environments,\u201d as she notes on her website. <\/p>\n
Bozieva believes this approach to business portends the rise of the billion-dollar, one-person business. \u201cThe single-operator stack is becoming industry-portable, which is what makes the billion-dollar trajectory mechanically plausible rather than aspirational,\u201d she says. <\/p>\n
Here is how she is pulling it off.<\/p>\n
Use AI to spot inefficiencies<\/p>\n
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. <\/p>\n
The big advantage of her AI-driven approach, she finds, is it solves the \u201cqueue problem.\u201d 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. \u201cSometimes, deadlines cannot be met,\u201d she says. With the AI agents, work that might normally take a month, like research to understand customers\u2019 pain points, might take one or two days, and AI agents can be as perfectly coordinated as Swiss watches, she says. \u201cIt depends on the client but usually in a week we have everything ready\u2014and then it is just an ongoing improvement process,\u201d she says. <\/p>\n
Think differently about technology<\/p>\n
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. \u201cThe same engineering discipline that runs the agents also builds the sites,\u201d she says. <\/p>\n
\u201cMost of the off-the-shelf SMB tools exist to solve coordination problems that come from having a team,\u201d she says. \u201cWhen the \u2018team\u2019 is an agent architecture, a lot of that tooling just falls away. You\u2019re left with banking, payments, theinfrastructure the system runs on, and one coordination layer built for managing agents rather than people.\u201d <\/p>\n
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. \u201cIt runs from the command line, which is how everything here is wired together,\u201d she says. <\/p>\n
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. \u201cWhen new ideas came or something new was needed for a client, I added more agents,\u201d she says. <\/p>\n
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.<\/p>\n
Bozieva, who is also a mom, used a similar structure to create a \u201cfamily office,\u201d system, with AI agents who handle legal, finance, styling and events for her child. \u201cI love all of the strategies it comes up with,\u201d she says.<\/p>\n
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. <\/p>\n
Although the agents can accomplish a lot, she recognizes that there are some things AI can\u2019t do. \u201cAI can\u2019t feel,\u201d she says. \u201cSo, if there is a marketing campaign that is heavily based on what people feel, the AI can\u2019t empathize and evaluate the feelings coming out.\u201d That\u2019s when she steps in. <\/p>\n
Keep people in the equation. Bozieva doesn\u2019t intend to run a one-person business forever. \u201cI can\u2019t say I never want to hire anyone,\u201d she says. \u201cWhen 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.\u201d <\/p>\n
Although it is increasingly possible to build a billion-dollar, one-person business, that isn\u2019t her ultimate goal: It\u2019s keeping clients happy while operating efficiently. <\/p>\n","protected":false},"excerpt":{"rendered":"Linara Bozieva runs her marketing agency with 35 AI agents. Ravenous Linara Bozieva built her fast-growing, one-person marketing…\n","protected":false},"author":2,"featured_media":142667,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[12176,24,405,7537,1069,70308,174],"class_list":["post-142666","post","type-post","status-publish","format-standard","has-post-thumbnail","category-agentic-ai","tag-nbsp","tag-ai","tag-ai-agents","tag-artificial-intelligence-agents","tag-big-tech","tag-ebay-alum","tag-marketing"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/142666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=142666"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/142666\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/142667"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=142666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=142666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=142666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
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