https://streamyard.com/ab8hr68vwm Most business owners are using ChatGPT like a glorified Google search. That’s why they’re trapped working 60-hour weeks. Stop typing prompts manually. In this workshop, you’ll discover exactly how to build and deploy self-governing AI workflows that handle your customer service, nurture leads, and manage backend ops without you lifting a finger. If you like making money while having a life, don’t miss this. 3 Research-Backed Topics - Topic 1: Multi-Agent Collaboration Frameworks How to design "digital departments" where separate AI agents (e.g., a Writer agent, an Editor agent, and a Publisher agent) critique and complete complex tasks autonomously. - Topic 2: Context Window Optimization & Vector DBs How to feed your AI agents an entire company’s operating procedures using vector databases so they never give hallucinated or generic answers. - Topic 3: Tool-Use and API Integration Workflows Giving your AI agents "hands" by connecting them to external APIs via platforms like Zapier, letting them write to your CRM, send calendar invites, and trigger invoices autonomously. Take Action Take the Lead: You’ve got the vision, now build the machine! 👉 Scale with us: diyai.ai 📞 Talk to the Team: 561-861-3238 🛠️ Join the DIYAI Community: skool.com/diyai

https://streamyard.com/ab8hr68vwm The age of AI agents is here — and they're not just for tech giants. In 2025–2026, tools like OpenAI Codex and Anthropic's Claude Code have transformed from experimental toys into practical, deployable employees for small businesses. They can build you a booking website in 10 minutes, reconcile your books, generate contracts, handle customer email workflows, manage your inventory spreadsheet, and even maintain your entire tech stack — all from a single conversation. What you'll learn today (hands-on, live demos): What AI coding agents actually are — Codex, Claude Code, and the agent landscape Real use cases small businesses are deploying right now — automation, customer service, operations, content, bookkeeping Live demo: Watch me spin up a real business tool (booking system / invoice generator / customer portal) in under 10 minutes using an AI agent The $0-to-launch path — Which tools are free, what costs what, and where to start with zero technical background The 3 biggest mistakes business owners make when handing work to AI agents (and how to avoid them) Bring your laptop and one business problem you'd love to automate. You'll walk out with: A working prototype of one business tool A playbook for what to delegate to AI vs. what to keep human A clear next-step roadmap for your business Walk in curious, walk out with a working AI employee for your business.https://streamyard.com/ab8hr68vwm

https://streamyard.com/ab8hr68vwm 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. CTA line for today: 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.

https://streamyard.com/ab8hr68vwm 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. https://streamyard.com/ab8hr68vwm

Today on the DIYAi 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. https://streamyard.com/ab8hr68vwm