What an AI & Automation Retainer Looks Like

Most people who want AI automation services don't want a course. They want the thing running. Someone competent picks the tools, builds the personal AI assistant, wires it to their inbox and calendar and bank, ships the small automations that take 80% of their operational routine off the table, and stays around to keep it working as their tools and life change.

That's what this retainer is. Setup is week one. Maintenance and new automations are everything after.

The Setup Isn't the Hard Part

The hard part is knowing what to automate, what to leave manual, and what to delete entirely. The same lesson the automation audit lands on a business retainer applies here: most "I should automate this" instincts are wrong. Some workflows are too low-volume to earn their maintenance cost. Some need human judgement at the last 20% and a human-in-the-loop pattern is the right shape. Some don't need to exist at all.

Setup work is roughly: pick the assistant model and harness, wire up the accounts that matter, build the AI integration services into the tools they already use, write the first few scripts that handle the actual repetitive parts of someone's week — invoice routing, lead reminders, a daily summary of what happened across their tools, a reply-drafter for the inbox patterns they hate. By the end of the first couple of weeks the system is running and the person can use it without thinking about it.

The setup ends. The retainer keeps going.

What the Ongoing AI Automation Work Looks Like

A typical week, in no particular priority order:

New automations. The list grows. Once the first three scripts are running, the fourth and fifth become obvious. Someone notices they keep doing the same calendar dance, or the same Notion template fill, or the same export-and-email step on Friday. That goes on the board. By month three, most of the operational routine runs through workflow automation services that didn't exist when the retainer started.

Tool drift. Anthropic ships a new model, the assistant harness gets a new feature, an MCP server breaks against a vendor change, a script depends on a CLI that just changed its flag. Done weekly, this is small. Done annually, it's a weekend of catch-up.

Security hygiene. API keys rotated. Secrets out of files and into a manager. Credentials scoped to what they need. Logging that doesn't leak. The kind of thing that's easy when someone's paid to think about it once a week, and that nobody does on their own.

Prompt and context tuning. What the assistant remembers, what it forgets, what context gets injected, where the personalization lives. The setup that worked at month one needs adjusting at month three because the person's work shifted and the automations should follow.

Bug fixes and edge cases. A script that worked for 90% of inputs hits the 10% case. The webhook that fired correctly for six months silently breaks because a vendor changed a payload format. Caught early through monitoring, fixed the same week.

New tools. A new AI product launches, an existing tool adds an API, a workflow can now be done end-to-end where last month it couldn't. Worth integrating? Worth waiting? Same judgement someone applies to their own stack — applied weekly, by someone whose job it is.

Who This Fits

Solo operators and creators who run their own business and want what a small operations team would give a bigger company — without hiring an AI consultant on a per-hour rate or staffing a full role. Consultants whose calendar and inbox are the product. Course-runners who automated the obvious things and hit the wall on the next layer. Founders who use AI heavily but don't want to also become the person maintaining their own stack.

The pattern across all of these: the work is too varied for an off-the-shelf product, but too personal to delegate to a team. One competent person, weekly, is the right shape.

What This Isn't

Not a course. Not an automation consultant who advises but doesn't ship. Not a workshop where someone teaches and the client implements.

The client doesn't implement. The client asks for things and the things get built. The same retainer that builds also maintains, the same way the maintenance retainer is structured — one person, one cadence, no handoff.

If someone wants to learn to do this themselves, this isn't the right engagement. There are good courses for that path. This retainer is for people who want the outcome, not the skill.

Other Shapes the Retainer Takes

Same retainer, different shapes — pick the one that matches the work in front of you:

• What an Automation Audit Looks Like — start here when you have an existing stack and need an honest read before deciding what to fix
• What a Software Maintenance Retainer Looks Like — for products with users, not personal stacks
• What a Fractional CTO Engagement Looks Like — when the AI work is part of building a company, not running a person
• All retainer shapes →

How to Start

The path is the same for every shape:

1. Submit a project brief — 2–3 minutes. Within 24 hours, you get an honest read on whether this engagement fits.
2. 15-minute discovery call — confirm scope and timing, no sales pitch.
3. Subscribe to the weekly retainer — work begins the next business day. Cancel anytime through Stripe, no paperwork.

If you have questions before any of that, the project brief form has a free-text field — write whatever you need to.