Sistava is an AI workforce platform where solo founders hire AI employees to run their business around the clock. Each AI employee has a specific role like sales, marketing, or customer support, with real tool integrations, persistent memory, and the ability to work inside your existing apps like Slack, Gmail, and HubSpot.

What is an AI employee?

An AI employee is an autonomous AI agent with a defined role, persona, skill set, and tool access. Unlike a chatbot that only answers questions, an AI employee takes on recurring work like writing emails, qualifying leads, answering support tickets, and publishing content, and it works on its own around the clock without being prompted each time.

How is Sistava different from project management software?

Sistava is not project management software. You hire AI employees who do the work, not a tool that tracks work done by humans. Your AI employees run sales outreach, write marketing content, answer support tickets, and handle operations on their own, without constant supervision.

How much does Sistava cost?

Sistava has a free plan you can start without a credit card, plus paid plans that scale with how much work you hand to your AI employees. See the pricing page for current plans.

What can AI employees do on Sistava?

Your AI employees take on the recurring work that runs a business: qualifying and reaching out to leads, writing and publishing marketing content, answering support tickets, and handling day to day operations. Each one comes with a role and skill set, so it can start working the day you hire it.

Sistava is built for solo founders and small teams who need to run sales, marketing, support, and operations without hiring a full human team. It gives you the equivalent of a growth team you can hire in minutes.

Where to Start With AI as a Non-Technical Founder

Guide — 2026-08-01 — by Mahmoud Zalt

A plain-English guide for non-technical founders on where to start with AI: hire one pre-built AI Employee, brief it like a person, and skip the building entirely.

If you are not technical, most AI advice makes the problem worse. It tells you to learn prompt engineering, compare models, or wire up an automation tool, and every one of those is a detour away from your actual business. The message underneath all of it is that you have to become a builder before you get to be a user, and that is exactly the wall that stops non-technical founders from starting at all.

An AI Employee removes that wall by design. Instead of a toolkit you have to assemble, it gives you a pre-built role with a personality, skills, and tools already wired in. You hire it, tell it who you serve and how you sound in one paragraph, and it starts working. There is no model to choose and no prompt to engineer. The interface is a conversation, which means the one skill you need is the one you use every day: describing what a good job looks like, in your own words.

At a Glance

0: Lines of code or prompts to write
49/mo: Entry plan with a full AI Employee
Plain English: The only interface you need to learn
Same day: Time from hire to first real task

What do you actually need to understand to start?

Almost nothing technical. You do not need to know how a language model works any more than you need to understand an engine to drive. What you do need is clarity about your own business: who your customer is, what you sell, how you like to sound, and what a good result looks like for the task at hand. That is knowledge you already carry, and it is the only input the AI Employee genuinely depends on.

The mental shift that makes this click is to stop thinking of AI as software you operate and start thinking of it as a hire you manage. You would never write code to onboard a new assistant. You would tell them about the business, show them a few examples of good work, and correct them when they got something wrong. That is precisely how you work with an AI Employee, which is why being non-technical is not a disadvantage here. Managing people is the exact skill the tool rewards.

Benefits

Hiring a role

Pick a pre-built sales, support, marketing, or ops AI Employee from the workspace in a couple of clicks.

Briefing in plain words

Describe your business, customer, and tone in one paragraph. No prompt syntax, no special phrasing.

Connecting your tools

Authorize your inbox, CRM, or calendar with a login. The Employee already knows how to use them.

Correcting the work

Edit or reject an output and say why, in normal language. The Employee learns your standards from it.

How do you go from zero to a working AI Employee?

Starting is far simpler than the surrounding noise makes it seem, because the platform handles everything that would normally require a technical person. You are not configuring anything. You are hiring a role and teaching it your business the way you would teach a new hire. The steps below are the entire path, and none of them ask you to touch a setting you would not understand.

Five steps from zero to your first AI Employee

Pick one role to start — Choose the job you most wish someone else were doing this week. Just one, so you can learn without overwhelm.
Hire the pre-built AI Employee — Select the matching role from the workspace. Its skills and tools are already wired in, nothing to build.
Write your one-paragraph brief — Who you serve, what you sell, how you sound, and what good looks like. Plain sentences, like briefing an assistant.
Connect the accounts it needs — Log in to your inbox, CRM, or calendar so the Employee can do real work, not just talk about it.
Review the first batch and correct it — Read the first outputs, edit what you would change, and say why. The Employee calibrates to your judgment fast.

Two pieces of advice from watching non-technical founders start. First, be specific in your brief and your corrections, because vague guidance produces vague work, exactly as it would with a human hire. Say what you actually want instead of hoping it guesses. Second, do not wait until you feel ready or informed enough. You learn to work with an AI Employee by working with one, and a week of real corrections teaches you more than a month of reading about AI ever will.

Once your first role is running and you have felt how briefing and correcting works, adding more is the same motion repeated. There is no new technical skill to acquire between your first AI Employee and your fifth. This is the quiet reason the workforce model suits non-technical founders so well: the thing you got good at, managing a role in plain English, is the only thing you ever need to get good at, and it transfers to every role you add.

The honest reassurance is this: being non-technical is not the handicap you have been told it is. The founders who struggle with AI are often the ones who over-index on the machinery and under-index on the management, and management is your strength. If you can clearly explain a job, judge whether work is good, and give a useful correction, you already have everything the tool asks of you. The rest is handled for you, on purpose.

Frequently asked questions

FAQ

Do I need to learn prompt engineering as a non-technical founder?

No. A pre-built AI Employee is briefed in plain English, closer to a job description than a prompt. You describe your business and correct the work in normal language. There is no special syntax to learn and no model to configure, because the technical setup is done for you.

Which role should I start with if I know nothing about AI?

Start with the single job you most wish someone else were doing, usually sales outreach, customer support, content, or reporting. Beginning with one role lets you learn how briefing and correcting works without spreading your attention, and the lesson transfers to every role you add later.

What if I brief it wrong or explain something badly?

That is expected and easy to fix. You correct an AI Employee the same way you would a new hire: edit the output, say what you wanted instead, and it calibrates. Your first week of corrections is how it learns your standards, so imperfect early briefs are part of the process, not a failure.

How much does it cost to try this without a big commitment?

Sistava starts at 49 per month with credits bundled in and no per-seat surcharge, so a non-technical founder can hire one AI Employee, run it on real work, and judge the value from results rather than a large upfront bet.

Will I be able to keep up if I am not into technology?

Yes, because the skill the tool rewards is management, not technology. If you can explain a job clearly, judge whether work is good, and give a useful correction, you have what it needs. The machinery is handled for you, and you interact through a normal conversation.

Where to start with AI as a non-technical founder comes down to one move: hire a single pre-built AI Employee and manage it in plain English, the way you would a new assistant. Skip the courses on prompting, the model comparisons, and the automation builders, all of which are detours from your business. Pick the role you most want off your plate, describe your business in a paragraph, connect a couple of accounts, and correct the first outputs. Do that, and you will discover the thing nobody tells non-technical founders: your people skills were the qualification all along.