Build AI agents that run sales, customer service, and operations 24/7, over 5 weeks.
This is not a webinar. You leave with artifacts you can use Monday morning.
Built during the workshop, deployed to your environment.
Real workflow moving data across your tools.
Twilio-based agent template you can customize.
5 pre-built agent architectures for sales, service, and ops.
For builders ready to deploy AI agents end-to-end. Build agents that run sales, customer service, and operations 24/7.
These are drawn from GGenesis client work and prior workshop deliveries. Not a hypothetical case study. Not a marketing composite.
A South Florida contractor used the workshop to build the AIDA Pro Admin, an SMS-based AI companion that reads his inbox, alerts him to leads, notifies him when estimates and invoices are ready, and chases payments. He reclaimed 12-15 hours a week of admin overhead.
A CPA duo built an AI tax-document intake agent and an AI-powered client communication agent using Claude, Zapier, and their existing Karbon workflow. Onboarding a new client dropped from 3 days to 4 hours.
A digital agency owner used the workshop to build a client reporting agent, a proposal drafting agent, and a discovery call scheduler. She scaled from serving 8 clients to 22 clients in one quarter without adding staff. Framework: GGenesis Operational Translation Sprint™.
“The AI Admin bot Gigi walked me through building for AIDA Pro cut my daily admin work in half. It reads my email, texts me the leads, chases invoices, and logs payments. It runs the parts of the business I hated running.”
Building and deploying working agents takes iteration, not a single sitting. The cohort runs five weeks, one 2-hour live Zoom session each week, with self-paced coursework in between so you can build, test, and fix your agents against your own business between sessions.
One 2-hour live Zoom session per week for 5 weeks, plus self-paced coursework between sessions. Plan for 2 to 3 hours of coursework each week on top of the live session.
A ChatGPT session ends when you close the window. An AI agent runs on a schedule or trigger, reads external systems, takes actions, and reports back. The cohort teaches you to build the second kind.
No. The cohort uses Zapier, Make (Integromat), Claude, and OpenAI API through no-code and low-code interfaces. Some attendees who want to go deeper use Python but it is optional.
The cohort covers 5 agent patterns across the 5 weeks: inbox triage, lead alerts, invoice chase, meeting summarizer, and internal knowledge base. You leave with at least 2 working agents specific to your business.
The workshop covers the governance guardrails for building agents that touch customer data. Full SOC 2 certification is a separate corporate track. GDPR compliance is achievable within the patterns we teach if you follow the data classification checklist.
The workshop covers safety layers, human-in-the-loop confirmation for financial actions, and rollback procedures. Every workshop attendee builds their agents with explicit approval gates on any action that affects money, sending messages, or changing account state.
Typical agent stack costs $50-$180 per month for a solo owner, and $180-$600 per month for a small team. The workshop shows you how to price your services so the tooling ROI is under 60 days.
Yes. Many workshop attendees offer agent-building as a productized service after the workshop. GGenesis offers a follow-on Advanced Agent Deployment engagement for attendees who want white-glove implementation.
GGenesis AI Thinker Community members get updates when we adjust the recommended stack. The core agent patterns (trigger, read, act, report, escalate) are model-agnostic and hold across model generations.
Build AI agents that run sales, customer service, and operations 24/7, over 5 weeks.
5 weeks · one 2-hour live Zoom session per week · self-paced coursework between · 20 seats · Founder-led