“Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.”
VP of Operations
Series B SaaS
AI agent development services usually mean a six-month project and a demo that never touches production. We ship a working agent on your real data in week two, then harden it until it runs on its own.
Fixed price agreed before any work starts. You own the code, the prompts, and the data. It runs in your accounts.
Rated 5.0 on Trustpilot & Google
The Problem
The demo works. Everyone is impressed. Then it meets real data, gets something wrong, nobody trusts it, and it quietly stops being used. Six months and a large invoice later, the work is still being done by hand.
That happens because the agent was built to impress in a meeting instead of to survive a Tuesday. Real work is messy. The build has to assume the agent will be wrong sometimes and design for it from day one.
So we build on your real data from week two, put a human check on anything with money or legal risk, and log every decision the agent makes. You loosen the leash once the accuracy is proven — not before.
What We Build
They are boring on purpose. If a person does it more than 20 times a week and it follows rules, it is a candidate.
Read every inbound email or form, pull out what matters, route it, and draft the reply. The most common first build because the work is constant and the rules are clear.
Turn a call summary into a priced proposal using your real pricing and your past wins. Deals stop sitting for three days waiting on paperwork.
Pull numbers from your tools, write the summary a human would write, and send it on schedule. Nobody rebuilds the same deck every Monday.
Score and qualify inbound leads against your real close data, then hand your team only the ones worth a call.
How It Works
Week 0
Thirty minutes on the workflow you want automated. We often talk people out of their first idea and into a better one. Written proposal with a fixed price in three business days.
Week 1
We watch how the work happens now, write down the rules and the edge cases, and design where a human still needs to approve.
Week 2
Something real, running on your actual data. You react to a working agent instead of approving a diagram.
Weeks 3–6
We tighten accuracy, add logging and limits, train your team to run it, and hand over the code, prompts, and docs. You own all of it.
Pricing Models
Three ways to buy. No hourly rates that drift, and no lock-in in any of them.
One workflow, clearly defined
A rolling queue of builds and changes
A department, several connected agents
Written proposal with the approach, the fixed price, and the timeline within three business days of the first call.
The code, the prompts, and the data are yours. Everything runs in your accounts. If you stop working with us, it keeps running and your team has the docs to maintain it. We are not renting you access to something we control.
A build shop ships what you asked for. We tell you when what you asked for is the wrong thing. Half of this work is talking people out of the agent they thought they wanted and into the one that pays for itself.
Founders, CEOs, and operators who came in skeptical, left fluent, and stuck with it.
“Last month I was just asking ChatGPT to write emails. Now I’ve built a client onboarding tool, and my team probably thinks I hired a developer.”
VP of Operations
Series B SaaS
“Research that used to take me half a day now takes 20 minutes. Competitor analysis, market research, customer interviews - all transformed.”
Strategy Consultant
Management Consulting
“I finally understand what my engineering team is talking about. More importantly, I can spec out AI features without needing them in every conversation.”
Product Leader
Fintech
“The prompt engineering framework alone saved me. I was getting mediocre AI outputs for months. Now I get usable first drafts 90% of the time.”
Marketing Director
E-commerce Brand
I've built 20+ businesses and raised $8M+. I was always the “idea guy” who had to rely on engineers, designers, developers. Not anymore. Now I build anything I can imagine with AI—and I'm going to show you how to do the same.
A year ago, I couldn't write a single line of code. Today, I've built over 10 apps—all with AI. I don't teach theory. I teach you to build real things, fast.
Some people want to build agents themselves. Others want them handed over working. Both work.
We teach this. Non-developers build working agents in the bootcamp. Plenty of people learn first, then hire us for the harder builds.
Book a 30-minute consultation. Written proposal with a fixed price and timeline in three business days.
Book a ConsultationPricing models, timelines, ownership, and what happens when an agent gets it wrong.
A single agent that handles one workflow runs $8,000 to $25,000 to build. A set of connected agents across a department runs $40,000 to $120,000. Ongoing running and support is $1,500 to $5,000 a month depending on volume. We give you a fixed number before any work starts, not an hourly rate that drifts.
Three. Fixed-price per agent, which most people pick because the number cannot move. Monthly retainer, if you want a rolling queue of builds and changes. Or build-then-transfer, where we build it, train your team to run it, and hand over the code and the keys. There is no lock-in in any of them.
Two to six weeks for a single agent, from first call to running in production. Multi-agent systems take six to twelve weeks. We ship the first working version in week two so you can react to something real instead of approving a diagram.
The ones that pay for themselves fastest are boring: reading inbound email and routing it, drafting quotes and proposals, chasing follow-ups, pulling reports together, screening leads, and answering repeat support questions. If a person does it more than 20 times a week and it follows rules, it is a candidate.
Yes. You own the code, the prompts, and the data. It runs in your accounts on your infrastructure. If you stop working with us, everything keeps running and your team has the documentation to maintain it. We are not renting you access to something we control.
Both, and the difference matters. A build shop ships what you asked for. An AI implementation partner tells you when what you asked for is the wrong thing, helps you pick the workflow worth automating first, and stays through adoption. Half of our work is talking people out of the agent they thought they wanted.
It will, so we design for it. Every agent has defined limits, a human check on anything with money or legal risk, and a log of what it did and why. We start with drafts a person approves, then loosen the leash once the accuracy is proven on your real data.
Yes. Agents run inside your cloud, your data does not leave your environment, and we work with whatever your security team requires for review, access control, and audit logging. We have been through enterprise procurement and can talk to your security reviewers directly.
One 30-minute call and access to the workflow you want automated. That is it for scoping. You get a written proposal with the approach, the fixed price, and the timeline within three business days.
Thirty-minute consultation. Written proposal in three business days. If the workflow is not worth automating yet, we will tell you.
Book a Consultation