Ryan Steinolfson

06/09/2026

Today we are walking through the practical process of creating your own AI agent — not just a chatbot, but a work-doing assistant that understands your business, uses your tools, and helps remove repetitive work from your week.

We will cover how to set up the right AI workspace, connect the tools you already use, organize your business context into a project, give the agent the right instructions and files, and identify the first recurring workflow it can help with — email follow-up, meeting prep, client research, task creation, or daily business check-ins.

The goal is simple: by the end of the workshop, you should know how to prepare your information before a setup call, how to teach the agent your business, and how to turn one repeatable process into something that saves hours every month.

Call to action

Before your next setup/review call, fill out the AI Agent Setup Worksheet.

Bring:

- One workflow you repeat every week.
- The tools the agent needs access to.
- Your docs, examples, prompts, emails, SOPs, or meeting notes.
- What the agent should do.
- What it should never do.
- What needs your approval before anything gets sent or changed.

If you want help turning this into a working agent for your business, complete the setup worksheet and bring it to the next call. We’ll review your workflow, tighten the instructions, and identify the first automation that can save you 10+ hours a month.

Process to review on the workshop

1. Pick the first workflow that wastes time every week.
2. List the tools the agent needs: Gmail, Calendar, Drive, Zoom, CRM, docs, etc.
3. Gather source material: examples, scripts, SOPs, offers, FAQs, prior emails, meeting notes.
4. Create the AI project/workspace.
5. Add files and business context.
6. Write the agent’s operating instructions.
7. Define approval rules.
8. Create the first recurring job: meeting prep, email triage, follow-up, task creation, or daily brief.
9. Review the setup together before doing any deeper implementation.

Most people are using AI like a better search box. Today is about turning it into a business assistant that knows your work, uses your tools, and starts removing repeatable tasks from your week.

06/02/2026

Most business owners do not need another chatbot — they need an operator that remembers context, watches the right systems, prepares the next step, and only interrupts when a decision is needed.

In this workshop, Ryan will walk through how to use a private Hermes-style AI agent through Telegram to manage daily business workflows: follow-up, meeting prep, CRM cleanup, stale lead recovery, client delivery checks, and approval-gated outbound messages.

You’ll see how to structure an agent so it has memory, tools, recurring checks, safe approval rules, and a clear daily operating rhythm. We’ll also cover what should stay human-approved, what can be safely automated, and how to turn the setup into a practical business offer.

What attendees will learn:
- Why most AI assistants stall after the first few prompts
- How a Telegram-managed agent becomes a daily business operator
- The difference between draft-only, auto-cleanup, approval-send, and limited auto-send workflows
- How to connect CRM, email, calendar, and meeting context without creating chaos
- The governance rules that make automatic CRM updates safe
- How to package a private AI operator as a service for clients

CTA:
If you want help setting up your own private AI operator, reply with the one workflow you want closed-loop first — follow-up, CRM cleanup, meeting prep, or lead response — and we’ll map the safest first automation.

05/26/2026

Today at 2 PM Eastern, Ryan interviews Rabshan Raman about what it really takes to move beyond AI demos and build agentic systems that generate revenue, reduce operational drag, and survive real business complexity.

We’ll talk about practical agent architecture, knowledge bases, tools, integrations, self-repairing workflows, VOIP/call intelligence, and the difference between a chatbot and an AI system that can actually complete work.

If you’re a business owner, operator, marketer, or builder trying to turn AI into measurable business outcomes, this session will help you see where agents fit, what guardrails matter, and how to choose the first workflow to automate.

Join us live at 2 PM Eastern and bring one workflow in your business that is slow, repetitive, revenue-sensitive, or currently falling through the cracks.

By the end, you should have a clearer idea of whether that workflow needs a chatbot, an automation, or a true agentic AI system.

05/19/2026

Today on the LSA Command workshop, Ryan interviews Ezra Brezina, founder of Cerebell, about one of the biggest hidden problems in AI agents: they often remember information, but they do not always know what is currently true.

For local-service businesses using Google Local Services Ads, AI receptionists, follow-up agents, and CRM automation, that matters. A customer may change an appointment, update a service request, call back with urgency, or provide new job details. If the AI acts on old information, leads get mishandled and jobs get missed.

Ezra will explain how Cerebell’s “active AI memory” helps agents keep customer context current, ignore bad/noisy call data, handle repeat callers, and support faster, cleaner follow-up.

We’ll keep this practical for business owners: how better AI memory can improve speed-to-lead, reduce repeated questions, clean up customer profiles, and help convert more LSA leads into booked jobs.

Join us live today and bring one question: where is your business losing leads because follow-up, call handling, or customer context is messy? We’ll show how AI memory can help fix that.

02/10/2026

10/22/2023

This is what the plug-in called dall e created using ChatGPT when I gave it the prompt for our ultimate house.

Would u live here?

09/04/2023

So this happened last week. 🙏🏼🤙🏼😃

Thank u 🙏🏼 for the amazing week.

06/10/2023

A screenshot of a recent Zoom call with my company.
I Love my team. I am so grateful for them.

02/15/2023