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Articles, insights and cases on B2B customer acquisition, SEO, content, applied AI and automation, to grow and run better.
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.
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.
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.
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.
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.
Discover how AI consulting can transform your B2B company, optimizing processes and boosting results, and learn common pitfalls to avoid for successful implementation.
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.
Discover how to integrate Claude into your SEO routines to optimize processes and analyses, eliminating the need for constant spreadsheet uploads.
Understand why SEO alone is no longer enough in 2026, what GEO is, and how Draivv CMS operates both fronts in a single engine.
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.
Discover why context engineering replaced prompt engineering in 2026 and how to design the complete context that reaches an AI model.
Understand what AI Evals are, how to measure AI performance in production using offline tests, online monitoring, and LLM-as-judge, and why this matters in 2026.