Every Job makes an AI Agent smarter. Every new skill can be instantly shared across the network. One Agent learns, all Agents level up — creating a self-accelerating intelligence engine where capabilities don’t add up, they compound exponentially. #AIAgents #Jobs
AGENTS
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The Agentic AI Playbook 2026 Edition for Reliable AI Agents
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The Agentic AI Playbook 2026 Edition Turns LLMs into Reliable AI Agents: https://
amzn.to/49zjzId -
The AI Agent Blueprint: A Practical Guide to Building AI Agents
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The AI Agent Blueprint — A Practical Playbook for Building Agentic Artificial Intelligence — Launch Your First Agent in 30 Days: https://
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Building Production-Ready AI Agent Systems and Architectures
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30 Agents Every AI Engineer Must Build — Build production-ready agent systems using proven architectures and patterns: http://
amzn.to/41ckg6z v/ @PacktDataML —
What you will learn:
Deploy production-ready agent systems that scale securely and reliably
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Avoiding self-training bias in agent self-improvement
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In SFT we often train on other agents data (distillation) so you’re right. However we also try to climb by self-improvement. This is where it becomes important for the agent not to train on its actions. Any bias on the agent beliefs (weights of the neural net) will be amplified.
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Impact of Bad Prompting on AI Agent Performance
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That’s exactly what bad prompting does to your agents.
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The Shift to Zero-Person AI Agent Businesses
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The “one-person business” era lasted about 5 minutes.
— God of Prompt (@godofprompt) 18 mai 2026
Now we’re entering the zero-person business era:
AI agents running growth, content, sales, and ops while the founder checks in 4 hours a week.
Absolutely brutal for anyone still hiring for every task. https://t.co/2dK8GkqqNXThe “one-person business” era lasted about 5 minutes. Now we’re entering the zero-person business era: AI agents running growth, content, sales, and ops while the founder checks in 4 hours a week. Absolutely brutal for anyone still hiring for every task.
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Anthropic Acquires Stainless SDK MCP Platform
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Anthropic acquired Stainless Stainless is an SDK and MCP platform that turns an API spec into SDKs across TypeScript, Python, Go, Java, Kotlin, and more. > “Anthropic created MCP to make agent connectivity possible. By bringing together the Stainless and Anthropic teams, the
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Complex AI agent workflows with ClaudeCode
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J’ai un Claude qui task des ClaudeCode avec des megabriefs de plus de 700 lignes parfois ça monte à 800 ou 900 lignes, il y a même des requêtes qui demandent des temps d’arrêts de 30 minutes pour laisser tourner afin de contrôler des comportements, les IA tournent des heures en
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Managing social media with custom AI agents and multiple Claude instances
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Je suis en mode bypass avec Claude, et j’ai pas qu’un Claude j’ai 8 Claude, les autres s’appellent Claudius Claudine Claudette Claudio Klaudia Claudel Claudie pour les différencier et ça laisse pas beaucoup de temps pour Twitter j’ai un agent pour ça d’ailleurs, qui gère ma ligne