Amir Shneider
A One-Person Marketing Department Powered by an Army of AI Agents
Who is this for?
This workshop is suitable for anyone who wants to understand how AI agents work at a deeper level, beyond basic chat usage. Especially relevant for marketing, content, and management professionals who want to turn AI into a real work tool. No coding experience required.
This workshop focuses on the shift from "Chat" mode to "Agent" mode. You will learn how an AI agent actually works, what its memory and personality components are, and how to manage it properly within your work environment and WhatsApp.
What you will learn:
Agent Architecture: The difference between a chatbot and an agent, and how an AI "brain" is built.
Memory and Personality Management: Understanding the structure of core files (Soul & Memory).
Connectivity and Tools: How an agent interfaces with emails, browsers, and messaging apps.
Do's and Don'ts: Security rules, budget management, and preventing execution errors.
Architecture Foundations: Personality and Memory
Understanding the mechanisms that allow AI to remember context and operate according to fixed definitions.
The Delegation Model: The difference between "answer me" and "do this for me."
Core Components: Getting to know SOUL.md (instructions) and MEMORY.md (long-term memory).
Setting Boundaries: Data security, user authentication, and token cost management.
Working Memory: How the agent documents its actions and improves over time.
Capabilities and Connections: Skills and Multimodality
An overview of the ways the agent communicates with the outside world and completes tasks.
WhatsApp Interface: How to turn the agent into a pocket work tool.
Connecting to Information Sources: Integrations with Gmail, Google Drive, and web search.
Multimodal Processing: Understanding the agent's capabilities in image, video, and voice (TTS) analysis.
Slash Commands: How to build shortcuts for recurring tasks.
Operations and Maintenance: Autonomy and Improvement
How to manage the agent on an ongoing basis and ensure it stays efficient and accurate.
Scheduled Tasks (Cron): Understanding the logic of background tasks like reports and summaries.
Skills Ecosystem: Getting to know the ClawHub and the ability to add capabilities to the agent.
Troubleshooting Logic: What to do when the agent makes mistakes and how to update instructions.
Summary and Use Cases: A review of implementation options in the world of marketing and management.
You will leave with a deep understanding of personal agent architecture and a full toolkit for managing and operating AI, with an emphasis on the technical and logical foundations needed to make AI a truly productive assistant.