How to run a company on AI employees. Build-in-public teardowns, plain how-tos, and notes from the agent economy, written by the team that dogfoods Summon every day.
A growing number of founders are running real businesses — with revenue, customers, and multiple departments — without a single human on payroll. Here's how.
When your team is eight AI employees, the weekly "all hands" is fifteen minutes with a task board. Here is the framework — what to review, what to unblock, and how to set priorities for next week.
Vague goals produce vague results — from humans and AI alike. A practical framework for writing goals your AI employees can act on, measure, and close.
Company Zero is a business run by one founder with AI employees across all departments and zero human headcount. Here's the math, the model, and why it's now possible for $500 a month.
AI employees aren't right for every stage. Here are the four signals that tell you you're ready — and the one signal that tells you to wait.
Most small companies can't afford an HR hire. An AI HR employee drafts job posts, screens applicants, runs onboarding checklists, and keeps your people ops running — for $500/month flat.
Most startups can't afford a full-time CFO. An AI Finance employee does the daily work — categorization, reporting, cash flow alerts, invoice follow-up — for $500/month flat.
ChatGPT answers questions. An AI employee owns outcomes. The distinction determines whether AI reduces your workload or just makes each task faster.
Small businesses need the output of fifty people with the budget of five. AI employees — software that owns entire departments — change that math. Here's what works, what doesn't, and how to start.
Freelancers solve a real problem — you need a function covered without hiring full-time. AI employees solve the same problem with less overhead, no briefing decay, and at a fraction of the price. Here's how to make the switch.
Prospect research, personalised outreach drafts, follow-up sequences, CRM updates, pipeline summary. Concrete sales work — not abstract "AI sales."
A virtual assistant waits for your instructions. An AI employee works your backlog on its own. The difference determines who is in the driver's seat of a whole function of your business.
The clearest definition: a software agent with a job title, a department, and a task queue — not a chatbot you prompt, but a member of your company that runs without you in the loop on every task.
Most solo founders run 8 jobs at once. Here's how to hand 6 of them to AI employees — and what a day actually looks like when the system is running.
The five highest-leverage starting points for AI delegation — chosen because they recover the most founder time with the fewest risks. Competitive intel, lead research, content drafts, follow-ups, and weekly reporting.
The barrier isn't trust — it's that briefing someone costs more time than doing it yourself. Here's the exact reason that equation breaks down, and what changes when your AI employee already has your context.
The difference between renting intelligence one transaction at a time and building operational capacity. Why role, accountability, and a defined lane turn a chatbot into a business operator.
The first month is not a straight line. A week-by-week breakdown of the quick wins, the calibration moments, and the inflection point where running a company on AI employees clicks.
$500 a month for an AI employee sounds like a real budget line. It is. But most founders who question the price haven't run the math on what they're currently spending instead — in money, and in hours.
Completion rate, usable output, and recovered founder hours — the three numbers that tell you if your AI company is earning its place. With a simple ROI calculation any founder can run in five minutes.
Most founders who sign up for an AI employee spend their first hour wondering what to give it. A department-by-department breakdown of what transfers cleanest — and what to save for week two.
You don't need an engineering background or a six-month setup timeline. A practical step-by-step guide to choosing the right department, writing your first task, and getting real work out in under 24 hours.
Marketing writes the posts. Sales keeps leads warm. Engineering takes the night shift. A concrete breakdown of every role — what each one handles, what it surfaces for your approval, and where the real leverage is.
Every AI horror story has one thing in common: nobody was watching. Here's the board-approval architecture that keeps you in control without slowing you down.
Per-seat AI pricing punishes you for succeeding. At $500/month flat, Summon gives you eight departments of AI employees and unlimited problems — so your AI headcount scales free.
A job description for an AI employee isn't a prompt — it's a scope boundary. The 10-minute framework that gets AI employees running on day one and cuts week-one correction loops.
The four-part brief that separates founders who get real output from the ones who cancel after two weeks. 30 minutes to write; improves permanently with every correction.
The first human hire is the most expensive mistake early founders make. Here's what happens when you hire an AI employee first.
AI employees don't stop at 5pm. Here's what actually happens overnight when a Summon AI employee is running — and why async-first is the real unlock for solo founders.
AI employees make mistakes. Here's the critical difference between how AI mistakes work versus human ones — and why it changes the accountability math entirely.
Human employees need 1:1s, performance reviews, and constant context-setting. AI employees don't. Here's what that saves a founder every week.
What to assign, what to approve, and what to leave alone. Built from six months of running Summon on AI employees — including the mistakes.
The real arithmetic: $500/month vs. a $60k/yr junior hire. Where each wins, where each fails, and how solo founders are staffing functions they couldn't afford before.
The founder's playbook for growing revenue, output, and coverage without adding payroll. What AI employees can own, what they can't, and how to run a lean company that punches above its headcount.
The approval-gate model explained: what you hand off, what the AI employee decides alone, and the one rule that keeps you from drowning in approvals.
Most startups need an operations lead but can't afford one. Here's how founders are delegating ops to an AI COO instead — and what actually gets handled.
Morning status, task routing, blocker-clearing, cross-department coordination, weekly wrap — the mechanical 80% of the CoS job, running 24/7 for $500/month.
A teardown of one week of real output: blog surface, SEO layer, directory map, founding-member offer copy, and a content backlog. All drafted; nothing sent until the board approved.
A practical guide to hiring, directing, and paying a team of AI employees that work while you sleep, what they do, what you approve, and what it costs.