Todos os artigos relacionados a Ai-Agents
Context engineering is what separates AI agents that work in demos from ones that survive real usage. 5 patterns, a practical stack, and 5 ways to monetize this skill.
Autonomous AI agents are now real. See how solo builders are using them to cut operational costs, automate work, and create new revenue models.
Deploy 24/7 autonomous AI agents without managing servers. Learn how solo builders generate recurring revenue with Claude Managed Agents infrastructure.
Deep Agents isn't a library—it's a way of thinking about AI agents that actually work on complex tasks. Here's how LangChain implements it.
Running Google's most powerful open-source model via Ollama Cloud with Claude Code — no local GPU, 256K context, near-zero inference cost.
A practical guide to building RAG systems from scratch, integrating with AI agents, and shipping products with persistent memory. Real code included.
Set up AI agents to handle research, copywriting, lead qualification, and campaign planning — without writing code. A practical guide for solopreneurs.
Step-by-step tutorial: build your own MCP Server in TypeScript or Python from scratch and turn it into a sellable product for the AI agents ecosystem.
Chrome DevTools has a native AI agent. Here's how to enable it, what it actually does, and how solo builders can use it to debug faster and ship more.
Google released Gemma 4 under Apache 2.0 with native function calling and local agent capabilities. Here's what it means for solo builders shipping AI products.
Practical guide to Hermes Agent: install in 1 minute, interact via terminal TUI, let the agent create automations automatically, monetize with Telegram bots.
Playwright vs Cypress in 2026: a practical comparison focused on performance, AI integration, and monetization potential for solo builders.
Playwright 1.59 brings Screencast API, video receipts, and observability. This isn't a test update—it's the missing infrastructure for auditable, observable AI agents in production.
Step-by-step tutorial: build a squad of 3 coordinated AI agents using Paperclip for governance and OpenClaw for execution. Automated lead generation running in under 1 day.
Learn how to control costs and coordinate autonomous AI agents using Paperclip, the open-source platform that transforms uncontrolled agents into predictable operations with budgeting, audit trails, and real governance.
Picoclaw: open-source AI agent written in Go that runs on less than 10MB RAM with $10 hardware. See how it differs from OpenClaw and what opportunities it opens.
Learn how to use deepagents (LangChain/LangGraph) to build autonomous agents in Python and discover 3 concrete product ideas with defined monetization models.
Learn how to use Hermes Agent to create smart automations that learn on their own — and how to monetize this capability.
Learn to build a personal AI agent with OpenClaw: open source, self-hosted, connected to WhatsApp. Practical tutorial with real use cases for solopreneurs.
Orchestrate multiple AI agents to automate complex projects 5x faster. Complete guide on Agent Orchestrator, parallel architecture, and scaling without hiring.
What AI agents are, how they differ from chatbots and automations, and how anyone — without writing a single line of code — can start using one today for real tasks.
Learn how to build a squad of virtual employees that work together automatically. Architecture, orchestration, and practical implementation.
How to use AI agents to transform debugging from a solitary task into a collaborative process. Practical examples with Chrome DevTools MCP.
Learn what WebMCP is and how to make your micro-SaaS agent-ready by explicitly declaring capabilities before your competitors take advantage.
Learn to build autonomous AI agents that execute tasks without human intervention. Practical guide with code, real use cases, and common pitfalls.
Build, orchestrate, and scale subagents in Claude Code to automate complex tasks. Practical guide with working code and real-world examples for independent builders.
Chrome DevTools MCP connects LLMs to the browser via Model Context Protocol. Learn how it works, what automations it enables, and how solopreneurs can build products with it.
Discover 7 real business models for autonomous AI agents. Learn how solopreneurs build, sell, and scale agent products — with case studies, pricing, and tech stack.
Learn how to build AI agents that automate repetitive tasks — from concept to execution, with practical tools and real-world examples.
Used by builders creating real products
Get in touchHave questions, suggestions, or want to collaborate? Fill out the form below and we'll get back to you soon.
