Answers
Questions founders ask
One page per question, answered directly in the first paragraph. Several of these give advice that does not favor newc0, because a page written to sell you something is not a page worth reading.
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AI agents versus hiring a virtual assistant: which is right for a solo founder?
Agents win on volume, hours and consistency. A virtual assistant wins on judgment, initiative and anything that needs a person to notice something was wrong. Most solo founders end up using both.
Can an AI-run company handle real customers and real money?
Yes for the volume — orders, tickets, invoices, follow-ups. No for the decisions that create obligations. The safe design is not better models, it is a hard boundary between what executes and what waits for a person.
Can you actually run a company with no employees?
Yes, if you mean no payroll. Software can cover sales, support, marketing and back-office work. What it cannot cover is the owner, who still approves, decides and carries the liability.
Do AI agents use machine learning models, or just language models?
Most agent platforms are language models with tools attached. Trained ML models are a different thing: they produce calibrated numbers rather than text, and very few platforms in this category deploy any.
How much does it cost to run a business with AI agents?
Subscriptions are the visible cost and rarely the largest. Revenue percentages, advertising fees, model usage and your own review time all belong in the number, and the fee on customer payments is usually the one that grows.
How much time does a founder actually spend supervising AI agents?
Not zero, and any platform saying zero is setting you up to be disappointed. A realistic figure is around fifteen minutes on an ordinary morning, longer on days with a real decision, and it never goes away entirely.
What are the alternatives to Polsia?
The alternatives split into three groups: platforms that run a whole business, platforms that cover one function, and not using a platform at all. Which one fits depends on what you want to own.
What can AI agents genuinely do in sales today — and what can’t they?
Agents handle the volume: finding leads, scoring them, writing and sending outbound, chasing replies, booking calls. They cannot qualify judgment calls, negotiate, or decide a price. The first list is most of the work; the second is most of the value.
What happens to your business if your AI platform shuts down?
It depends entirely on where your business actually lives. Practical steps to make a platform failure survivable: hold your own domain, keep exports, know your termination window, and never let the platform be the only place your customer list exists.
What is a zero-employee company, and what does it take to run one?
A zero-employee company has revenue, customers and operations but no payroll. What it takes to run one: an application, agents covering the functions, and an owner who reviews a queue every morning.
What is lead scoring, and can AI do it accurately?
Lead scoring ranks prospects by how likely they are to convert. Trained models do it accurately once there is history to learn from, and poorly before that — which is the part vendors rarely mention.
What should you never let an AI agent decide?
Five categories: anything irreversible, anything legally binding, what you charge, what the company claims to be, and any spend above a number you would notice. Everything else is a judgment call about your own risk tolerance.
Which business functions should you automate first?
Start where volume is high, judgment is low and mistakes are cheap — usually lead scoring and first-line support. Leave anything relationship-bound or irreversible until last, and automate the function that is currently costing you evenings.
Who owns the code and data when an AI platform builds your business?
Most platforms say you own your code and data, and mean it. The questions that actually decide your position are whose accounts it sits in, whether your inputs train their models, and how long you have to get it out.