Custom AI agents · Coded in Denver · Running 24/7
You dream it. We code it. The redundant tasks you hate — handled 24/7.
Don't want to do the emails? Solved. Dreading the Monday spreadsheet? An agent fills it in overnight. We write each agent by hand for the way your business already runs, plug it into the tools you already pay for, and you stay in charge of every decision that matters.
Our promise: an agent never replaces you or your people. It gives you your time back — for the work you love, your family and your life.
Direct answer: An AI agent for business is software that takes a goal, works across your real tools (inbox, calendar, spreadsheets, CRM, accounting) and finishes multi-step tasks on its own, asking a person to approve anything risky. A chatbot talks; an agent does the work. Eye To Ad Media custom-codes agents for owner-run businesses in Denver and across the US, starting with a free 30-minute workflow audit.
Picture the most reliable assistant you have ever had: you explain the job once, hand over the right keys, and it gets done every day, at 2 a.m. if need be. An agent reads what comes in, picks the next step from rules you agreed to, uses your software to do it, and logs everything it touched.
Here is the honest line between the three things people usually mean. The short version from TechTarget: chatbots converse and answer from scripts, while agents act across systems to complete tasks.
| Chatbot | Simple automation | AI agent | |
|---|---|---|---|
| What it does | Answers questions in a chat window | Runs one fixed "if this, then that" rule | Works toward a goal across several steps and tools |
| Handles messy input? | Some, inside a conversation | No — breaks when the format changes | Yes: reads emails, PDFs and notes the way a person would |
| Touches your systems | Rarely | One or two, in a set order | Inbox, calendar, sheets, CRM, books — as permitted |
| Makes judgment calls | No | No | Small ones; big ones go to you for a yes |
Already have a chatbot? Good — it can become the front door of an agent. Our AI chatbot service covers the talking side; this page is about the doing side.
The twelve jobs owners bring us most: what the agent handles, where a human still signs off, and what it plugs into. Yours might be a mix of three, or something nobody has asked for yet — that is the point of custom.
Sorts every email into "needs you," "handled" and "junk," and drafts the routine replies in your tone.
Replies to every new form, call or text within a minute, asks the qualifying questions and logs the answers.
Offers open slots, books, confirms and nudges likely no-shows.
Turns a customer's notes or measurements into a draft estimate from your real line items.
Pulls invoices and receipts out of the inbox and fills the right rows, so month-end takes minutes.
Keeps every contact, stage and next step current from call notes and email threads.
Asks happy customers for a review at the right moment and drafts a reply to every new one.
Turns this week's finished jobs and photos into a short, scheduled post queue.
Every Monday at 6 a.m., calls, leads, sales and reviews land in one page with what changed.
Watches stock and sales pace, warns you before you run out, drafts the order.
Reads PDFs like work orders and applications and turns them into clean, searchable rows.
Texts back missed calls, takes the message and books the callback.
Tick the tasks you would happily never touch again, tell us roughly how many hours a week each one takes, and what an hour of your time is worth. The numbers update as you go. Then send the whole thing to Zach and he will tell you what he would build first.
The assumption, in plain sight: agents typically take 50–80% of the time on tasks like these, because a person still reviews and approves. You set the percentage. This is a planning estimate, not a promise.
| Task | Hours/month now | With agent |
|---|
This fills in the audit form below. Nothing is sent until you press submit there.
Five quick questions about your business, tools and rules, and the free planner ranks your top three agents, sketches a 30/60/90-day rollout and scores how ready you are. It stays in your browser until you choose to send it.
Main Street is already moving, and the share of work handed to software is about to jump.
Source: Homebase 2026 Main Street AI Gap Report, 750 US small-business decision makers.
| Year | Using or piloting AI |
|---|---|
| 2025 | 64% |
| 2026 | 74% |
Source: Gartner forecast, as reported by WFTV. Striped bar = forecast.
| Year | Decisions made by agentic AI |
|---|---|
| 2024 | 0% |
| 2028 (forecast) | at least 15% |
62% of organizations are experimenting with AI agents, but only 23% are scaling one in even a single function — McKinsey, The State of AI 2025.
~7.7 hours and ~$343 a month: what Homebase found owners save when they use AI for scheduling and payroll alone.
Gartner's July 2026 prediction is blunt: by 2028, AI agents will outnumber sellers ten to one, yet fewer than 40% of sellers will say agents improved their productivity. The leaders who fix their data, automation and user experience first are five times more likely to see a return.
We read that as a build-quality problem, not an AI problem. So we start with your workflow and your data, automate one painful job end to end, design the approval step around how you actually work, and only then add the next agent.
We walk through your week on a call: where time leaks, and what you would never automate. You leave with candidates ranked by hours saved, hire us or not.
A one-page plan: what the agent does, what it is forbidden to do, which tools it touches, where you approve, how we will measure it. One fixed price, no hourly meter.
We write it, connect it to your real accounts with the narrowest permissions possible, and feed it your price sheet, policies and tone.
It runs in "draft mode" first: every action waits for your yes. We tune it on your actual emails and edge cases until you trust it.
It goes live. We monitor it, fix it when a tool changes, report hours saved and response times, and add the next agent when you are ready.
A multi-agent pipeline — say a researcher that hands to a writer that hands to a reviewer — takes longer than a one-job agent, and we will say so up front.
An agent with keys to your inbox deserves the care you would give a new hire with keys to the shop. House rules on every build:
Refunds, quotes, anything sent to a new person: we list what needs your yes, and the agent is coded so it cannot skip that step.
It gets only the permissions its job needs. A reporting agent can read your sales; it cannot issue a refund.
Every email read, row written and message sent is logged with a timestamp.
We use business-tier AI services whose terms say your data is not used to train their models, and we never use it to train anything ourselves.
One switch pauses it instantly. Nothing breaks; work waits for a person.
Health businesses: no patient health information goes through an agent without a signed BAA and a HIPAA-eligible setup. Finance: money movement always needs a human approval.
The code, the prompts and the configuration are yours. Leave us someday and the agent goes with you.
Hiring and firing, apologies to a loyal customer, anything legally binding. Some moments need you.
Agencies that publish prices put custom agent builds in three broad bands. We show them so you know the market before you talk to anyone, including us.
Sources: Neoteric, Cleveroad, DP Vision (agency-published 2026 ranges).
| Type of build | Typical one-time cost |
|---|---|
| Simple single-task agent | $5,000–$25,000 |
| Custom integrated agent | $15,000–$75,000 |
| Production multi-agent system | $100,000–$450,000+ |
| Hosting, lightweight agent | $50–$300 per month |
| Maintenance | 15–30% of build cost per year |
Every Eye To Ad Media agent is quoted as a fixed price after a free 30-minute workflow audit — no hourly meter. Most single-task agents for small businesses land at the low end of these ranges. If the hours you would get back do not clearly pay for the build, we will tell you on the call and suggest something cheaper, even if that is a spreadsheet formula.
Zach coded each of these himself, and they work right now across sites we operate. Several are rule-based, scripted assistants rather than full AI agents — we would rather say so than dress them up.
The growth assistant on eyetoad.com — look for her in the corner of this page.
The guide on searchconverts.com, walking visitors to the right next step.
The assistant on advertisingforcontractors.com, built for trade-business owners.
The demo assistant on conversationalaibot.com.
The two guides on allofus.one, each with its own job.
The mall concierge on worldvrmall.com, pointing shoppers through a virtual mall.
No invented client logos, no made-up hours-saved figures. When client agents are live long enough to measure honestly, the numbers will go here.
No new dashboard to learn. If a tool has an API or an export, we can usually connect it.
Product names belong to their owners and are listed only to describe compatibility.
We have spent years marketing these businesses, so we already know where their hours disappear: callbacks for contractors, intake for law firms, recalls for dentists, reorders for restaurants.
No, and we will not build one that tries. An agent takes the repetitive slice of a job, like sorting email or filling in rows, so your people spend their hours on customers and craft. A person approves the decisions that matter. The goal is time back, not fewer people.
Your agent gets only the access its job needs, every action is logged, and one switch pauses it. We use business-tier AI services whose terms say your data is not used to train their models, and we never train on it ourselves. Health and finance businesses get extra rules.
Like a new hire, it will occasionally get one wrong, which is why risky actions wait for your approval. The audit log shows exactly what it read and why it acted, so we fix the rule, test the fix on real examples and put it back to work.
A one-job agent is usually working within two to five weeks of the free audit, including a week or two in draft mode where you approve everything. Multi-agent pipelines take longer; the blueprint gives you the timeline.
No. If you can describe the task out loud, we can build the agent. You approve things from tools you already use, like your inbox, a text or Slack. We handle the code, hosting and connections.
Hosting typically runs $50 to $300 a month for a lightweight agent, plus AI model usage that depends on how many tasks it processes. We estimate both in the blueprint and set a hard monthly cap, so there are no surprise bills.
Published market ranges put a simple single-task agent at roughly $5,000 to $25,000. We quote every agent as one fixed price after a free 30-minute workflow audit, and most single-task agents for small businesses land at the low end.
You do. The code, prompts and configuration belong to your business, and they go with you if you ever move on.
A chatbot talks: it answers questions in a chat window. An agent does the work across your real tools, from reading the email to booking the slot and reporting back. Many builds use both.
We are based in Denver and like meeting owners in person, but agents run in the cloud, so we build them for businesses anywhere in the United States.
Related: AI marketing agency · Conversion optimization · Lead generation · About Zach
Thirty minutes on the phone with Zach: the tasks worth handing to an agent, ranked, and an honest answer if an agent is not the right fix. No cost, no contract.
Prefer to talk now? Call 1-800-481-8638.
Your audit request is in Zach's inbox, and he will reply within one business day to set a call time. Meanwhile, note the one task you would delete from your week first. That is usually where we start.
Welcome to the future — now. Start with one task you hate and a free half-hour with the person who will build it.
