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The Future of Work with AI Agents — Insights from a Stanford Study
Critical Mismatches & Opportunities for AI Agent Development
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Cobus Greyling
Trade-Off Dynamics of AI Agents
AI Agent Enterprise Scaling Tensions
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Cobus Greyling
No-Code MCP Integration Using OpenAI Console & Pipedream
In this demo I show you how easy it is to use the OpenAI Console with a No-Code approach using Pipedream.
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Cobus Greyling
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Have You Ever Wondered Why AI Agents Speak IN Human Language?
The Hidden Costs and Future Fixes…
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Cobus Greyling
Super Memory MCP — Universal Memory across LLMs
Centralising Your AI Agent’s Memory with the Model Context Protocol (MCP)
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Cobus Greyling
HF MCP Server
Connect HuggingFace with AI Agents through the Model Context Protocol (MCP)
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Cobus Greyling
The Mistral AI Agent Build Environment
And The Rise of AI Agent SDKs by Model Providers
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Cobus Greyling
AI Agents & Agentic AI
Understanding the Next Frontier in Artificial Intelligence
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Cobus Greyling
Unveiling the Layers of Agentic AI
Exploring How AI Agents, LLMs, MCP, Tools & Integration Work Together to Power the Future of Automation
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Cobus Greyling
Training a Language Model With AI Agents
Phi-4 Language Model open-sourced by Microsoft - Synthetic data, AI Agents, Synthetic Generation Prompts and Hallucination Refusal.
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Cobus Greyling

May 2025

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