$1M AI Agency: The Unfiltered Rules
Ethan Nelson is building a $1M AI agency in public, and his strategy is brutally effective. We're breaking down his unfiltered playbook for creating 'AI employees' that clients will actually pay for.
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Ethan Nelson is building a $1M AI agency in public, and his strategy is brutally effective. We're breaking down his unfiltered playbook for creating 'AI employees' that clients will actually pay for.
Businesses are paying thousands for AI agents that automate simple tasks. You can build and sell them in a weekend without writing a single line of code.
Stop scrambling through CRM notes and emails before every sales call. A new AI system now does it for you in 30 seconds, delivering everything you need to know.
Stop feeding your LLM endless tokens. Google just revealed a 'Context Engineering' pattern that treats context like compiled code, and it changes everything about building scalable AI agents.
Raw LLM power is plateauing, but a new layer of AI tech is creating systems that can finally handle complex, long-running tasks. Discover how agent harnesses are changing the game and making 99% code automation a reality.
AI agents are getting a critical upgrade that moves beyond simple prompts. Discover the 'agent harness' architecture that finally makes them reliable for complex, real-world tasks.
A recent n8n update transforms your entire automation library into a dynamic toolbox for AI agents like Claude. This isn't just an integration; it's a new paradigm for building autonomous business systems.
Google's AI boss Demis Hassabis just revealed his timeline for game-changing AI that sees, hears, and acts in the real world. By 2026, their 'omnimodel' strategy aims to create an all-in-one AI to dominate the industry.
Top minds from OpenAI, Glif, and Vanta just outlined the future of agentic AI and enterprise security. Their live debate reveals the critical challenges and massive opportunities awaiting builders in 2026.
OpenAI just dropped GPT-5.2, and it's not another incremental update. New benchmarks reveal it outperforms human professionals in most white-collar tasks, signaling a fundamental and urgent shift for the global workforce.
Building reliable RAG systems is often a complex mess of competing tools. Discover the minimalist Python stack—MongoDB, Pydantic AI, and Docling—that delivers powerful hybrid search without the headache.
Stop repeating yourself to your AI. A new method turns Claude into a 'Life OS' with perfect memory, managing your tasks, goals, and notes automatically.
Forget chatbots. A new workflow combines Claude Opus 4.5 with your local notes to create a persistent AI employee that lives and works on your machine.
A new platform builds hyper-personalized voice agents from just a website link, with no code required. This one-minute demo is changing the game for customer support and sales.
At first glance, n8n 2.0 looks like a simple UI refresh. But one hidden architectural change fundamentally alters how professionals build and scale complex automations.
Most AI agent tutorials are theoretical toys. This guide breaks down how to build a simple, task-oriented agent you can actually ship in a real product.
One livestream exposed the exact framework for building a profitable AI agency without writing a single line of code. This is the new playbook for creating sellable AI automation services.
Top minds from Google DeepMind, Groq, and Emergence Capital just mapped out AI's next 12 months on a live stream. Here’s the alpha on the hardware, agents, and startups that will define the new AI economy.
We gave Claude a complex coding task and let it run nonstop for a full day inside a special test harness. The results reveal a stunning glimpse into the future of autonomous software development—and its current, very real limits.
An AI voice agent replaced a human receptionist for two full years, handling over 2,500 live customer calls. We break down the unfiltered data, the $48,000 ROI, and the exact tech used to achieve it.
A shocking report revealed 95% of enterprise AI pilots fail. AWS just launched three core features in AgentCore designed to fix the trust and control issues that kill AI projects before they start.