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Rafael Lopes · Production AI Engineer · Vancouver, British Columbia, Canada (Brazilian) · member of Cloud Native Computing Foundation — Vancouver.

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Production AI · Retrieval-Augmented Generation · Distributed LLM inference · AI efficiency · Web performance · Core Web Vitals · Kubernetes · Argo CD · GitOps · Platform engineering · Site Reliability Engineering · Observability · Cloud cost reduction · AWS · Azure · Design systems · Terraform

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2024-12-01 · 1 min read · Rafael Lopes

AI Authority Playbook 2025

Building authority in AI requires a strategic approach that combines deep technical knowledge with accessible communication. This playbook outlines the key...

Building authority in AI requires a strategic approach that combines deep technical knowledge with accessible communication. This playbook outlines the key strategies for establishing yourself as a thought leader in the AI space.

Why AI Authority Matters

In 2025, AI is no longer just a buzzword—it's the foundation of modern business strategy. Those who can speak authoritatively about AI will lead the conversation and shape the future.

Key Benefits

  • Credibility: Establish trust with your audience
  • Visibility: Get noticed by industry leaders
  • Opportunities: Attract speaking engagements, consulting work, and partnerships

The Framework

Our AI Authority Framework consists of four pillars:

  1. Content Creation: Produce high-quality, original content
  2. Distribution: Publish across multiple platforms
  3. Engagement: Build community around your ideas
  4. Iteration: Continuously improve based on feedback

Getting Started

Begin with a content audit. What topics do you know deeply? Where can you add unique value? The intersection of your expertise and market demand is your sweet spot.

Next Steps

In the next article, we'll dive deep into Agentic Systems Strategy—the practical implementation of AI agents in real-world applications.

Built, then written

Tested on my own homelab before publishing — a four-architecture cluster (ARM · AMD ROCm · NVIDIA CUDA · Apple Silicon) running this blog, the RAG pipeline, and a sovereign research copilot. Built and tested before it's written — refined as I learn. See the platform →

Rafael Lopes

Production AI Engineer in Vancouver, BC. Brazilian. Builds and ships production AI on a self-hosted homelab — RAG pipelines, distributed LLM inference, web performance, and platform engineering.