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Growth and AI in practice.

Articles, insights and cases on B2B customer acquisition, SEO, content, applied AI and automation, to grow and run better.

Prompt Engineering in Production: A Technical Guide for Businesses
Engenharia de PromptLLMsRAG

Prompt Engineering for Businesses: What Changes in Production

In production, prompt engineering evolves from trial-and-error to a work specification. Tokens, embeddings, RAG, governance: what changes when AI moves from the lab to real business operations.

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RAG vs. Fine-Tuning: How to Decide for Your Business
RAGFine-tuningLLMs

RAG vs. Fine-tuning: When to Use Each in Your Business

A Fortune 500 client spent $80,000 on fine-tuning for a 6% gain and 15% hallucination. With RAG, the same problem cost $8,000 and had 2% hallucination. Learn how to decide between the two approaches.

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Claude Opus, Sonnet, Haiku: Which Model for Your Task?
ClaudeAnthropicModelos de IA

Claude Sonnet, Opus, and Haiku: Which Model for Which Task?

Opus for complex tasks. Sonnet 4.6 with 1M tokens for daily use. Haiku 4.5 where speed and cost are paramount. Learn how to choose the right Claude model for each operation.

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Custom Software in the AI Era: The New Customization Economy
Software Sob MedidaCustomizaçãoEngenharia Agêntica

Custom Software in the AI Era: Why Generic Products Are Losing the Game

Generative AI has driven down the cost of customizing software. Cornell shows AI refactoring 26% of commits. Jellyfish reports agent adoption jumping from 51% to 82% by 2025. The question of building custom solutions has fundamentally changed.

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Build vs Buy in AI: Build or Buy Software in 2026
Build vs BuySaaSBYOS

Build vs Buy in AI: When to Opt for Off-the-Shelf SaaS and When to Build Your Own

The "SaaSpocalypse" wiped out $1 trillion in market value. Klarna replaced Salesforce with its own AI system. Sierra achieved $100M in ARR in under 2 years. Welcome to the era of BYOS — Build Your Own Software.

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MCP (Model Context Protocol): Anthropic's Open Standard for AI
MCPModel Context ProtocolAnthropic

MCP (Model Context Protocol): How Anthropic Changed the AI Integration Game

97 million downloads in 16 months. Kubernetes took almost 4 years to get there. Anthropic's MCP has become critical AI infrastructure — and Twilio reported a success rate jumping from 92% to 100% with 30% less computational cost.

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B2B AI Consulting: Comprehensive Guide & Common Mistakes

AI Consulting for B2B Companies: How It Works (and What to Avoid)

Discover how AI consulting can transform your B2B company, optimizing processes and boosting results, and learn common pitfalls to avoid for successful implementation.

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AI for Customer Service: Chatbots and Autonomous Agents

AI for Customer Service: From Chatbot to Autonomous Agent

Explore the evolution of Artificial Intelligence in customer service, from basic chatbots to advanced autonomous agents, and discover how this technology is transforming the consumer experience.

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Claude for SEO: Automate Analyses Without Spreadsheets

How to Use Claude for SEO Without Constant Spreadsheet Uploads

Discover how to integrate Claude into your SEO routines to optimize processes and analyses, eliminating the need for constant spreadsheet uploads.

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SEO + GEO in 2026: Why AI Changed Search | Draivv
SEO, GEO e Draivv Rank

SEO + GEO in 2026: Why AI Changed the Search Game (and What It Means for Businesses)

Understand why SEO alone is no longer enough in 2026, what GEO is, and how Draivv CMS operates both fronts in a single engine.

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How We Built Draivv CMS: The AI Stack for Automated SEO + GEO | Draivv
SEO, GEO e Draivv Rank

How We Built Draivv CMS: The AI Stack Behind Automated SEO + GEO

Discover how Draivv built its CMS by combining AI, RAG, specialized agents, and MCP to automate SEO and GEO in practice, with real architectural decisions.

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Context Engineering: What It Is, How to Apply, and Why It Replaces Prompt Engineering | Draivv
IA aplicada aos negócios

Context Engineering: The Discipline Replacing Prompt Engineering in 2026

Discover why context engineering replaced prompt engineering in 2026 and how to design the complete context that reaches an AI model.

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