Methodology — How We Work

Transparency is part of trust. This page explains exactly how Poker Pro Academy researches, writes, translates and reviews its content — including how we combine human editorial judgement with AI-assisted tooling.

1. Monitoring the news

We track the poker world continuously: official tournament results, operator announcements, live-reporting feeds and established poker-news outlets. When something matters to players, it enters our editorial queue.

2. Research and sourcing

Before we write, we gather the facts from the most authoritative sources available and cross-check the key numbers — buy-ins, field sizes, prize pools, payouts and dates. Where we build on another outlet’s original reporting, we credit and link it. We rewrite in our own words and add analysis; we never copy.

3. Drafting (human + AI)

Our writers use AI tools to accelerate parts of the process — organising research, producing a first draft, suggesting structure and generating translations. The AI is a tool, not the author. Every piece is shaped by a human writer who decides the angle, verifies the facts and takes responsibility for the final text.

4. Editorial review

Each article passes through review before it goes live. We check accuracy, fairness, clarity, sourcing and tone, and we confirm that any commercial relationship is disclosed. Only then is the article attributed to a named author and published.

5. Bilingual publishing

Poker Pro Academy publishes in English and Portuguese. Translations are produced with AI assistance and reviewed for meaning, nuance and poker terminology so that both language versions read naturally — not like a machine translation.

6. Structured data and FAQs

Most articles end with a short FAQ answering the questions readers (and AI assistants) actually ask. We publish structured data (Article, FAQ, author and organisation markup) so that search engines and AI systems can understand and cite our work accurately.

7. Updates and corrections

News changes. We update stories as facts develop and correct errors transparently, following our Editorial Policy. The published date and any significant update are visible on the article.

Why we are open about this

Readers deserve to know how the content they rely on is made. Being explicit about our human-plus-AI workflow is how we earn — and keep — your trust.