That’s exactly what bad prompting does to your agents.
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
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AI Agents Must Learn to Read the Room for Mass Adoption
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#AIAgents Won’t Reach Mass Adoption Until They Learn To Read The Room
by Shailesh Nalawadi @Forbes Learn more: https://
bit.ly/4uPzZ8v #LLM #GenerativeAI #ArtificialIntelligence #ML -
Optimizing Workflows with AI Coding Agents and Tools
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Working with Codex gives you access to tons of things like your entire local context (files, notes, repo) skills, MCPs and of course an overall really strong agent. Once Codex makes stuff, you can still use the MagicPath native agent to improve it to your liking. As I shown in
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Meta paper: Agentic Discovery of Neural Architectures
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NEW paper from Meta: Agentic Discovery of Neural Architectures. This is a hot new area of research! Keep an eye on it.
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How to use persistent objectives with Codex AI agents
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how to use /goal in codex — keep Codex working on a persistent objective until it's solved:
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Paper: GPT-5.4 Nano with Critic-Comparator Reaches SWE-bench Parity
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NEW paper worth reading. GPT-5.4 nano plus a critic-comparator orchestration loop hits 76.4% on SWE-bench Verified, matching standalone Gemini 3 Pro and Claude Opus 4.5 Thinking. The trick is to select from k=8 weak-model proposals using execution and proof signals. What does