About
How AIDaily works
An editorial platform dedicated to making artificial intelligence accessible, understandable, and useful for Portuguese and English-speaking readers worldwide.
Editorial mission
AIDaily exists to track the evolution of artificial intelligence with a focus on clarity, context, and usefulness. The goal is not just to republish updates, but to filter relevant signals, summarize practical implications, and highlight risks, opportunities, and market impact.
We believe that understanding AI should not require a PhD in computer science. Every story we publish aims to bridge the gap between highly technical research papers and everyday readers who want to stay informed about how artificial intelligence is reshaping industries, products, and society.
Our editorial team monitors developments across the entire AI ecosystem — from foundational research at leading universities and labs to product launches by major technology companies, regulatory changes, ethical debates, and the growing impact of AI on the job market and creative industries.
What we publish
Industry analysis
In-depth coverage of AI product launches, partnerships, acquisitions, and strategic moves by major tech companies and startups.
Research highlights
Accessible summaries of significant research papers, breakthroughs in machine learning, natural language processing, computer vision, and robotics.
Market impact
Analysis of how AI developments affect businesses, investors, developers, and end users across different sectors.
Ethical and regulatory updates
Coverage of AI governance, regulation proposals, bias concerns, and the broader societal implications of artificial intelligence.
Tools and frameworks
Reviews and guides about new AI tools, open-source frameworks, APIs, and developer resources that are shaping the ecosystem.
Trends and forecasts
Weekly and monthly roundups identifying emerging patterns, rising technologies, and shifts in the AI landscape.
How we select stories
We monitor recognized technology, research, and product sources — including academic journals, official company blogs, reputable technology publications, and vetted RSS feeds from established outlets around the world.
Every item passes through a multi-step review process before publication. First, we evaluate thematic relevance: does this story matter to people following AI? Then we check recency and timeliness. Finally, we assess potential impact — will this development change how people work, create, or interact with technology?
Duplicate, shallow, or context-poor material is flagged and reviewed before going live. We maintain strict quality thresholds: articles must meet minimum content length requirements, provide original editorial context, and clearly cite their sources. Stories that don't meet these standards are held for further editorial review or rejected entirely.
Our editorial process
Source monitoring
Continuous tracking of trusted technology sources, RSS feeds, academic publications, and industry announcements.
Relevance filtering
Each story is evaluated for thematic relevance, timeliness, and potential impact on the AI ecosystem.
Content enrichment
Selected stories are enriched with editorial context, background information, and analysis of implications.
Quality review
Articles must meet minimum content length, provide original context, and clearly attribute sources before publication.
Bilingual publication
Approved content is published in both Portuguese and English with proper localization.
Ongoing monitoring
Published stories are monitored for corrections, updates, and reader feedback.
Curation, translation, and context
Some source material starts in English. When that happens, AIDaily may use automated support for translation and first-pass consolidation, but the published version must cite the original source and add editorial context about relevance, background, and impact.
Our bilingual approach (Portuguese and English) ensures that readers in Brazil and across Latin America have access to the same quality of AI coverage that English-speaking audiences enjoy. Each article is available in both languages, with care taken to preserve technical accuracy and cultural context during translation.
We are transparent about our process: when automated tools assist with translation or initial content structuring, we disclose this. The final editorial responsibility — including fact-checking, context addition, and quality assurance — always rests with our editorial standards.
Who reads AIDaily
Our audience includes technology professionals, software developers, data scientists, product managers, students, researchers, entrepreneurs, investors, and anyone curious about how artificial intelligence is transforming the world. Whether you're building AI systems or simply want to understand their impact on your industry, AIDaily provides the context you need.
Responsibility and accountability
Accuracy and transparency are fundamental to everything we publish. When we make a mistake, we own it. When a story needs a correction, relevant update, or clarification, the change is recorded publicly.
All corrections and editorial updates are documented on our correctionspage. For questions, editorial requests, or to report an issue, use the channels on our contact page.
We also maintain a transparent editorial policy that outlines our publishing criteria, content standards, and the principles that guide every editorial decision we make.