AI explained by people who actually work with it
We’re practitioners — engineers, researchers, and educators — who got tired of AI content written by people who had never touched a model. So we built this instead.
Our mission
Making artificial intelligence understandable — without dumbing it down
When ChatGPT launched in 2022, it sparked a wave of AI content online. Most of it was vague, inaccurate, or written by people who had never run a prompt in a professional context. DailyAI Blogs was built as the alternative — a publication where every article is written or reviewed by someone with hands-on experience in the field they’re covering.
We cover the AI tools, frameworks, and ideas that matter to real people: creators building with no-code AI, developers integrating LLMs into products, business owners trying to automate intelligently, and curious readers who want to understand what’s actually happening in the most transformative technology of our lifetime.
We do not chase hype. We test tools ourselves, question vendor claims, and tell you when something isn’t ready yet — even when that’s an unpopular take.
“The goal has always been simple: write the article we wished existed when we were first learning this ourselves — detailed enough to be genuinely useful, honest enough to be trusted.”— Sharad Rajvanshi, Founder & Senior Tech Writer
Who we are
The team behind the content
Our writers and reviewers are named, credentialed, and accountable. Every article carries a byline. Every byline has a real person behind it.
AI practitioner & Former Digital Marketing Specialist turned technical communicator. Specialises in making complex AI concepts accessible to non-technical readers. Covers AI tools, coding assistants, and workflow automation.
AI practitioner with 8+ years in machine learning and automation. Previously led AI product integrations at two SaaS startups. Covers agentic AI, LLMs, and the business impact of AI adoption.
Independent AI researcher who tracks frontier model developments, benchmarks, and the academic literature. Brings rigour to our coverage of emerging AI capabilities and company announcements.
Editorial standards
How we research, write, and verify
Hands-on testing
Every tool we review is tested by a team member personally — not summarised from a press release or another article.
Named authors
Every article has a named author with verifiable credentials. We do not publish unsigned or anonymous content.
Fact-checking layer
Statistics and technical claims are verified against primary sources: research papers, official documentation, or direct product testing.
Regular updates
AI moves fast. We revisit articles when tools change significantly, marking the update date clearly at the top of each post.
Disclosed conflicts
If we have an affiliate relationship or have received a product for review, we say so — clearly, at the top of the article, not buried in a footer.
AI-assisted, human-led
We use AI tools to assist research and drafting. All final content is reviewed, edited, and validated by a human expert before publication.
Corrections policy
We take accuracy seriously. If you spot a factual error — a wrong date, a misquoted statistic, an outdated claim — please tell us via our contact page. We aim to review correction requests within 48 hours. Confirmed corrections are noted inline on the article with a correction date. We do not silently edit published articles.
Why trust us
The standards that set us apart
AI is one of the most rapidly evolving and frequently misrepresented fields in technology. The incentive to publish fast, exaggerate capabilities, and repeat vendor talking points is real. We’ve built explicit safeguards against all three.
Our articles cite primary sources — research papers, official changelogs, benchmark leaderboards — not secondary summaries. When a claim cannot be verified, we say so. When a product doesn’t live up to its marketing, we say that too.
We are not affiliated with any AI company. We do not take paid placements or sponsored rankings. Affiliate links, where they exist, are disclosed and do not influence our editorial judgement — we link to tools because we recommend them, not the reverse.
Get in touch
Work with us or ask a question
We welcome pitches from credentialed AI professionals who want to contribute. We’re also open to interview requests from journalists and researchers. For tool review requests, partnership inquiries, or general questions about our content, reach out below.