Consulting

AI Agent Development

We build a custom AI agent to handle a real job in your business — and by the end, you know how to run it and improve it yourself.

What's Included

AI agent development includes hands-on building and knowledge transfer:

A working custom AI agent built around one real job in your business — not a generic demo
Live, hands-on build sessions where you help shape the agent, not just watch
Agent architecture explained in plain language — how it thinks, what it can and can't do
Prompt and instruction design you can read, edit, and extend yourself
Integration with the tools your agent needs to do the job — email, calendar, CRM, spreadsheets, and more
Testing against real scenarios from your business, including edge cases and failure modes
A plain-language playbook for operating, monitoring, and improving the agent after we're done
Guidance on when to expand the agent's scope — and when not to
Who It's For

Is this right for you?

This is for small business owners who have a specific, repetitive job they want an AI agent to handle — following up with leads, triaging support requests, drafting proposals, summarizing calls, answering routine customer questions — but don't want a black box they can't touch once we leave. If you want a real, working agent in production and the ability to tweak, extend, or fix it yourself going forward, this is built for you. No coding background required — if you can describe the job in plain English, we can build it with you.

The Process

How it works

01

Job Selection

We help you pick the right first job for an AI agent — specific enough to build well, valuable enough to matter, and safe to hand off. Not every task should be handled by an AI agent, and we'll tell you if yours isn't a good fit yet.

02

Build Together

We build the agent with you, session by session, using your business's real data, tools, and edge cases. You watch every decision get made and why, so the agent never feels like someone else's black box.

03

Test & Harden

We run the agent against real scenarios — including the tricky ones — until it handles your job reliably, and document what it should and shouldn't be trusted to do on its own.

04

Handoff & Coaching

You leave with a working agent in production, a written playbook for maintaining it, and hands-on practice making a change yourself before we finish.

FAQ

Common questions

What's the difference between this and Automation?

Automation builds rule-based workflows on platforms like Zapier or Make — reliable for tasks with clear, fixed steps. AI agent development builds a system that uses AI to make judgment calls within a job — reading, reasoning, and deciding what to do next. Some jobs need automation, some need an agent, and some need both. We'll tell you which is the right fit before we build anything.

How is this different from AI Implementation?

AI implementation sets up an existing AI product or platform for you. AI agent development builds something new and specific to one job in your business, and teaches you how it works well enough to run and improve it yourself afterward. Implementation is 'set it up for me.' This is 'build it with me so I own it.'

How is this different from AI Education?

AI education builds your general skills and understanding of AI tools. This service is narrower and more concrete: we build one specific, working agent for one specific job, and you learn what you need to know in the process of building it — not as separate coursework.

What happens if the agent gets something wrong after you leave?

You'll have a playbook that covers exactly this — what the agent is allowed to do on its own, what it should escalate to a human, and how to adjust its instructions when it makes a mistake. Every agent we build includes guardrails and a clear boundary of authority, not just raw capability.

Do I need any technical background to do this?

No. If you can clearly describe the job you want handled, you have what you need. We handle the technical build and explain every decision in plain language so you understand what's happening and why.

What kind of jobs work well for a first AI agent?

Good first candidates are well-defined, repetitive, and forgiving of occasional review — things like drafting responses to common customer questions, summarizing calls or documents, qualifying inbound leads, or drafting first-pass proposals. We'll help you identify the right one during the first session rather than guessing.

Ready to get started?

Schedule a free consultation and let's talk about what your business actually needs.