Systems that run while you sleep.

An AI agent — sometimes called an autonomous agent — is software that takes a goal, decides its own steps to reach it, and acts inside limits you set. A regular program follows a fixed script. An agent reasons about what to do next, calls the tools it needs, and checks its own work against a target you agreed on before it started. If the steps never change, you do not need one. If judgment is required along the way, you do.

Automation follows a fixed script: do this, then this, then this, every time, in the same order. An agent decides its steps as it goes, because the right move changes depending on what it finds. Automation is cheaper, faster, and easier to predict, so I build it whenever the job allows for it. Reach for an agent only when a person currently has to stop and think before acting — that is the real line.

No. A chatbot answers what you type and stops there. An agent takes a goal, plans the steps, uses tools like your CRM or your inbox, checks its own output, and keeps going until the job is done or it hits something it has to hand back to you. Chat is one interface an agent might use along the way. It is not what makes something an agent.

Agents are bad at open-ended judgment calls with no clear success criteria, and bad at jobs where being wrong once is expensive and unrecoverable — legal sign-off, irreversible financial moves, anything without an undo button. They are also only as good as the access and data you actually give them. Scope the job tightly, set a real accuracy target up front, and most of these failure modes shrink to almost nothing.

Rarely, and I will tell you plainly if that is not the right play for your business. Most of what I build removes the repetitive part of a job — the part your best people already hate doing — so the person stays and does higher-value work instead. If you are hoping an agent lets you cut headcount with zero oversight, say so up front, because that changes what gets built and how carefully.

Jobs with a clear goal, real data to pull from, and a decision point where a person currently has to stop and think — research that needs judgment calls, workflows with branching paths, anything running on inboxes, documents, or a CRM that changes shape depending on what shows up. If you can already write the steps down in order with zero branching, that is automation, not an agent, and automation costs less.

By how the work has to get done, not by what industry you are in. A plan-first system fits a job with a clear finish line you can define up front. A fan-out system fits pulling from dozens of sources and reconciling them into one answer. An ambient system fits work with no obvious start button, like watching an inbox and acting on triggers. A swarm fits a job too big for one context window. Same outcome, four different routes.

You are ready if one person can say yes without a committee, you can hand over real data instead of a cleaned-up sample, and someone who does the job today can give me two hours a week during the build. Missing one of those does not disqualify you — it just means we fix that first. If you are still not sure, the $1,500 pilot answers it in a week instead of a meeting.

Nothing breaks overnight. That is the trap. The task keeps eating the same hours every single week, the person doing it stays capped at how fast they can type, and the real cost of waiting is not a crash — it is every week you did not get that time back. I have shipped 500-plus automations, and the pattern holds: the ones people regret are always the ones they sat on for a year first.

Worth it has nothing to do with your headcount and everything to do with whether one task is eating enough hours to justify fixing it. A five-person shop with one person buried in the same report every week is a better fit than a thousand-person company with no single painful job. Start with the $1,500 pilot if you are not sure — it is priced so the answer does not require a board meeting.

Depends on the tier. Tier 1 is one agent doing one job, live in two weeks. Tier 2 is a multi-agent build — several agents splitting a workflow with memory and a dashboard — live in five weeks. Tier 3 is your own agentic product with full tracing and a trained team, live in eight to ten weeks. Most builds start with a $1,500 pilot that puts a working agent on your real data inside five business days.

We write the number down before I build anything, in percentages, not adjectives like pretty good. What that number needs to be depends on the job — a research agent lives or dies on source agreement, a customer-facing agent needs a tighter bar for getting facts wrong. If it misses the agreed target at handover, I keep working and you do not pay more. That guarantee only holds together because the target was specific from day one.

It is the test suite that grades your agent's actual output against the target you set, every single time it runs, not a one-time check before launch. Without one, an agent can drift for weeks before a customer notices and tells you first. Tier 2 builds ship with an evaluation harness from day one, and Tier 3 adds full tracing on top so every decision gets logged with its cost and its reason.

One person who can say yes without a committee, access to the actual tools the agent has to touch, and real data — not a sanitized sample, the messy version it will actually see in production. I also need someone who does the job today for about two hours a week during the build, to check my work against reality. Skip any of those and the timeline stretches, not the price.

It stays on your infrastructure. The execution layer, n8n, runs self-hosted on your accounts, so nothing leaves your network just to run a workflow. You also pay for model tokens and infrastructure yourself, directly, on accounts you control, so I never touch your data through a third-party bill of my own. Tier 3 builds add a full security and permissions review on top of that.

You do, outright, no exceptions. The AI workflows are JSON files that live on your infrastructure, not a subscription to a platform I control. There is no vendor lock-in and no per-seat tax on top — you could hand the files to another developer tomorrow and they would still run. At Tier 3, your own team gets trained to operate and extend the system without me.

Because your workflows end up as JSON files you own instead of code trapped in a proprietary system I control. n8n runs self-hosted on your infrastructure, and I work with the n8n team directly, so I am building on the platform's own roadmap instead of guessing at it. n8n shipped standalone Agents on August 5, 2026, which means more of this now runs natively instead of custom orchestration bolted on top.

Yes — that is most of the actual engineering. Tier 1 hooks into whatever tools the one job touches. Tier 2 connects as many tools as the whole workflow needs and adds a memory layer so the agent remembers your documents and customers between runs. If your CRM, inbox, or database has an API, or even just a login screen, there is almost always a way in.

It starts by proposing and you approving, every time, on anything with a real-world side effect. That dial moves toward more autonomy only as the evaluation numbers earn it — I do not hand over the keys because one demo went well. Human in the loop is the default at every tier, and at Tier 3 you are the one who decides exactly how far the dial goes.

It gets caught, logged, and fixed. Hallucination is a property of the LLM underneath the agent, not a bug I can fully switch off, so every build includes an evaluation harness and guardrails checking output against the accuracy target we agreed on before launch. Anything below that number gets flagged instead of shipped to your customer. If it still misses the target at handover, I keep working at no extra charge.

One-time builds run from $6,000 to $62,500 depending on scope. Tier 1 is one agent on one job for $6,000, live in two weeks. Tier 2 is several agents splitting a workflow for $18,000, live in five weeks. Tier 3 is your own agentic product for $62,500, live in eight to ten weeks. Most builds start with a $1,500 pilot, and that fee comes off whichever tier you end up choosing.

A real working agent, not a slide deck, doing one narrow job on your actual data, delivered in five business days. You keep it and can run it yourself forever, even if you never buy anything else from me. You also get a build quote priced off what I actually saw while building it, not a guess. It is the cheapest way to find out if this works before you commit real money.

Yes, the full $1,500, with no expiry, so you can run the pilot now and decide on the rest whenever you are ready. It comes off any build tier you pick later, and you keep the pilot agent either way, even if you never build anything more. There is no scenario in this offer where paying for the pilot costs you money you do not get credit for.

Management keeps agents you already have running — recurring audits, prompt updates, security checks, watching uptime and cost — starting at $6,000 a month. A fractional CTO puts me inside your team, owning architecture and technical direction for your whole AI roadmap, starting at $12,000 a month for one day a week. Management fixes what already exists. A fractional CTO decides what gets built next and defends that call to your board.

Yes, directly, on your own accounts — I do not mark it up or route it through mine. I architect every build for cost from day one, so you are not stuck with a surprise token bill months later. This also means you always know exactly what your agent costs to run, because the invoice comes straight from the model provider to you, never through Spurlock Studios.

On agent management and fractional CTO retainers, a three-month minimum takes 25 percent off the monthly price. Going annual takes that same 25 percent off and adds two months free on top, so a $6,000-a-month management plan lands at $3,750 a month billed annually. Longer commitments always cost less per month — there is no version of this where paying monthly makes sense once you know you are staying past three months.

Yes. Refer someone who signs a three-month minimum and you get two more months free on your own plan. It works across both agent management and fractional CTO, and it stacks with the annual discount, so a referral on top of an annual commitment can mean several months of a retainer running at no cost to you. Simple as that: you send business my way, I send savings back yours.

I keep working, and you do not pay more. The accuracy target gets written down in numbers before I build anything, so missing it has one exact meaning, not a feeling about performance. If the agent falls short of that number at handover, closing the gap is on me, never billed as a change order. That guarantee only works because the target got agreed on paper before a single line got built.

On the monthly plan, yes — cancel anytime, no penalty, full price for that flexibility. Committing to a three-month minimum or an annual term is what earns you the 25 percent discount, so those terms trade a cancellation window for a lower price, not the other way around. If you are not sure yet, start on monthly, see how the work actually runs, then move to a longer term once you trust it.

Reach out through the contact page to start. From there, it is me — not a project manager, not an AI consultant handing you a strategy deck, but William Spurlock, one operator with 20,000-plus hours in this work, no junior handoff. Most people buy the full build first and find out if it works after. That is backwards. Start with the $1,500 pilot, see a real agent on your real data in five business days, then decide with evidence instead of a sales pitch.